Datewise / Topicwise | Career / Data / Finance / MSCE / Python / Tech | Gdbrowse
FileDate: 2025-02-28 | ProcTime: 2025-02-28 13:16:10 | Count: 3130

All bookmarks (sorted by timestamp)

• 2025-02-27 20:36:03 | Goldziher/kreuzberg: A text extraction library supporting PDFs, images, office documents and more | Python>Lang>interop

• 2025-02-27 17:51:51 | Best Platform Derivatives Academy to Learn Market Finance | Finance>Quant

• 2025-02-27 17:41:40 | Introduction to CUDA Programming for Python Developers | PySpur - AI Agent Builder | Python>ML>tools-pkgs-exercises

• 2025-02-27 17:36:34 | The list of C++ exercises | Tech>C++

• 2025-02-27 09:53:13 | confident-ai/deepeval: The LLM Evaluation Framework | MSCE>ML

• 2025-02-26 09:23:30 | Chordonomicon: chord progressions | Data>audio-music

• 2025-02-23 10:46:34 | Deep Dive into LLMs like ChatGPT - YouTube | MSCE>ML

• 2025-02-21 18:24:07 | fortitudo-tech/pcrm-book: Portfolio Construction and Risk Management book's Python code. | Finance>Quant

• 2025-02-21 04:12:44 | A QuantLib Guide | Finance>Quant

• 2025-02-21 03:57:40 | Taichi Lang: High-performance Parallel Programming in Python | Python>Lang>multitasking

• 2025-02-20 20:10:10 | Step-by-Step Diffusion: An Elementary Tutorial | MSCE>ML

• 2025-02-20 14:06:48 | microsoft/ai-agents-for-beginners: 10 Lessons to Get Started Building AI Agents | MSCE>ML

• 2025-02-19 22:48:42 | SQL Noir - A Detective SQL Game | Career>InterviewPrep

• 2025-02-18 23:52:10 | py-free-threading | Python>Lang>multitasking

• 2025-02-13 17:19:51 | 🧩 Object oriented programming | The Python Book | Python>Lang>tutorials-resources

• 2025-02-13 17:17:13 | workofart/ml-by-hand: A deep learning library built from scratch with complex neural networks examples built on top for learning purposes. | MSCE>ML

• 2025-02-13 01:17:45 | Interactive Linear Algebra | MSCE>Math

• 2025-02-12 14:37:27 | H1B Visa Salary Database | Career

• 2025-02-12 14:36:00 | Salary.com | Career

• 2025-02-10 19:26:11 | Announcing the Data.gov Archive | Library Innovation Lab | Data

• 2025-02-10 19:22:11 | (WIP) A Little Bit of Reinforcement Learning from Human Feedback | MSCE>ML

• 2025-01-25 12:20:28 | Anomaly Detection in Time Series | The PyCharm Blog | Python>ML>time-series

• 2025-01-24 14:42:58 | bespokelabsai/curator: Synthetic Data curation for post-training and structured data extraction | Python>ML>tools-pkgs-exercises

• 2025-01-24 11:18:23 | Modern Polars | Python>Lang>tutorials-resources

• 2025-01-24 11:04:43 | cobalt: best way to save what you love | Tech>Apps

• 2025-01-17 00:01:37 | Ace your NLP Interview | Career>InterviewPrep

• 2025-01-16 23:19:49 | man-group/ArcticDB: ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem. | Finance>Quant

• 2025-01-16 20:21:09 | CrunchDAO - Pi | Finance>Quant

• 2025-01-16 10:49:41 | prakhar1989/awesome-courses: :books: List of awesome university courses for learning Computer Science! | MSCE>CS

• 2025-01-14 10:18:51 | AlphaPy: Python AutoML for Trading Systems and Sports Betting | Finance>Quant

• 2025-01-14 08:37:56 | The Complete Introduction to Time Series Classification in Python | Python>ML>time-series

• 2025-01-12 21:24:38 | Daily Chartbook | Finance

• 2025-01-12 16:11:37 | Coding with LLMs | MSCE>ML

• 2025-01-12 12:08:47 | In Brief | CFA Institute | Finance>CFA

• 2025-01-12 12:07:16 | CFA Institute Research and Policy Center | Finance>CFA

• 2025-01-12 10:35:07 | CFA Institute Research Foundation | CFA Institute Research and Policy Center | Finance>CFA

• 2025-01-11 10:23:24 | Python Concurrency: Threads, Processes, and asyncio Explained | Python>Lang>multitasking

• 2025-01-06 07:12:37 | Neural networks - YouTube | MSCE>ML

• 2025-01-04 05:25:06 | pytorch-labs/torchft: PyTorch per step fault tolerance (actively under development) | Python>ML>neural-deep

• 2025-01-03 08:59:44 | CFA Society New York | Finance>CFA

• 2025-01-02 21:39:09 | Landing Point Executive Search & Consulting Firm | Career>JobSearch

• 2024-12-31 20:48:53 | aie-book/resources.md at main · chiphuyen/aie-book | MSCE>ML

• 2024-12-31 10:05:14 | PacktPublishing/Modern-Time-Series-Forecasting-with-Python-2E: Modern Time Series Forecasting with Python 2E, Published by Packt | Python>ML>time-series

• 2024-12-29 11:04:50 | virattt/ai-hedge-fund: An AI Hedge Fund Team | Finance>Quant

• 2024-12-26 13:45:29 | Git - Beyond the Basics - The Ivory Tower | Tech>VersionControl

• 2024-12-25 22:41:04 | GitHub - chiphuyen/aie-book: [WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025) | MSCE>ML

• 2024-12-25 22:40:12 | GitHub - tpvasconcelos/ridgeplot: Beautiful ridgeline plots in Python | Python>Vis

• 2024-12-22 12:55:47 | Chartered Financial Analyst Information - Kaplan Schweser | Finance>CFA

• 2024-12-22 12:55:14 | Schweser CFA Level 1 Practice Question of the Day | Finance>CFA

• 2024-12-22 12:49:08 | Mark Meldrum, Ph.D | Finance>CFA

• 2024-12-21 13:40:14 | CodeChef | Career>InterviewPrep

• 2024-12-08 17:51:04 | 5-Day Gen AI Intensive Course with Google Learn Guide | Kaggle | MSCE>ML

• 2024-12-07 00:38:37 | Advent of Code 2024 | Career>InterviewPrep

• 2024-11-28 22:24:51 | pllk/cphb: Competitive Programmer's Handbook | Career>InterviewPrep

• 2024-11-26 22:08:59 | bayesflow-org/bayesflow: A Python library for amortized Bayesian workflows using generative neural networks. | Python>ML>bayesian

• 2024-11-26 19:29:03 | NumPy Practical Examples: Useful Techniques – Real Python | Python>ML>tools-pkgs-exercises

• 2024-11-26 19:21:11 | ben-nour/SQL-tips-and-tricks: SQL tips and tricks | Tech>Databases

• 2024-11-26 09:52:36 | Speed Up Your Python Program With Concurrency – Real Python | Python>Lang>multitasking

• 2024-11-22 18:35:32 | pyzzles | python puzzles | Career>InterviewPrep

• 2024-11-22 09:38:52 | C++ Brain Teasers: Exercise Your Mind by Anders Schau Knatten | Tech>C++

• 2024-11-22 09:38:17 | CppQuiz.org | Tech>C++

• 2024-11-10 00:12:19 | letianzj/QuantResearch: Quantitative analysis, strategies and backtests | Finance>Quant

• 2024-11-09 23:48:03 | Transformers from scratch | peterbloem.nl | MSCE>ML

• 2024-11-08 12:57:17 | Free Python Resources For Quant Finance - PyQuant News | Finance>Quant

• 2024-11-07 14:42:56 | Interview Prep - Google Tech Dev Guide | Career>InterviewPrep

• 2024-11-06 12:43:39 | LLM Evaluations: A Complete Course | MSCE>ML

• 2024-11-01 08:00:23 | Efficient Machine Learning with R | MSCE>ML

• 2024-10-31 22:22:36 | kyleloomis/finstruments: Financial instrument definitions built with Python and Pydantic | Finance>Quant

• 2024-10-31 12:42:47 | Python Thread Safety: Using a Lock and Other Techniques – Real Python | Python>Lang>multitasking

• 2024-10-29 10:04:22 | Time-MoE/Time-MoE: Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts | Python>ML>time-series

• 2024-10-27 20:43:59 | manoskary/graphmuse: A Graph Deep Learning Library for Music. | Python>AV>audio-music

• 2024-10-24 18:52:11 | GitHub - srush/Autodiff-Puzzles | MSCE>ML

• 2024-10-24 02:00:02 | facebookresearch/lingua: Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs. | Python>ML>nlp-llm

• 2024-10-23 21:19:00 | hugohadfield/kalmangrad: Automated, smooth, N'th order derivatives of non-uniformly sampled time series data | Python>ML>optimization

• 2024-10-17 17:36:47 | GitHub - mainmatter/100-exercises-to-learn-rust: A self-paced course to learn Rust, one exercise at a time. | Tech>Rust

• 2024-10-16 17:53:33 | NannyML/The-Little-Book-of-ML-Metrics: The book every data scientist needs on their desk. | MSCE>ML

• 2024-10-13 11:51:09 | NannyML/The-Little-Book-of-ML-Metrics: The book every data scientist needs on their desk. | MSCE>ML

• 2024-10-13 10:18:28 | cosmic-cortex/mlfz: An educational machine learning library. | MSCE>ML

• 2024-10-04 19:48:56 | Portfolio Optimization: Theory and examples | Finance>Quant

• 2024-10-04 19:45:06 | PaulleDemon/PyUIBuilder: The webflow for Python GUI. GUI builder for Tkinter, CustomTkinter, Kivy and PySide (upcoming) | Python>Web>frameworks-webservers

• 2024-10-04 08:51:44 | OpenAPI Reference | Tech>WebTools

• 2024-10-01 00:42:56 | SuperCollider: platform for audio synthesis and algorithmic composition | Tech>C++>audio-music

• 2024-09-30 11:28:48 | srush/GPU-Puzzles: Solve puzzles. Learn CUDA. | MSCE>ML

• 2024-09-27 16:12:38 | Applied Machine Learning in Python: a Hands-on Guide with Code — Applied Machine Learning in Python | MSCE>ML

• 2024-09-26 11:34:16 | Faust Programming Language | Tech>C++>audio-music

• 2024-09-24 19:14:24 | PacktPublishing/Python-for-Algorithmic-Trading-Cookbook: Python for Algorithmic Trading Cookbook, published by Packt | Finance>Quant

• 2024-09-24 14:54:00 | Diffusion Explainer: Stable Diffusion Explained with Visualization | MSCE>ML

• 2024-09-24 14:52:54 | rio-labs/rio: WebApps in pure Python. No JavaScript, HTML and CSS needed | Python>Web>frameworks-webservers

• 2024-09-24 14:52:08 | andresvourakis/data-scientist-handbook: This is a repo with links to everything you'd ever want to learn about data science | MSCE>ML

• 2024-09-24 14:51:34 | pipefunc: function composition magic for Python — pipefunc 0.32.1 documentation | Python>Lang>tutorials-resources

• 2024-09-24 14:48:53 | ben-n93/SQL-tips-and-tricks: SQL tips and tricks | Tech>Databases

• 2024-09-23 12:51:27 | The Pragmatic Programmer for Machine Learning | MSCE>ML

• 2024-09-22 10:28:26 | Getting Started with Audio Programming | Tech>C++>audio-music

• 2024-09-21 13:05:28 | paperswithbacktest/awesome-systematic-trading: A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. | Finance>Quant

• 2024-09-19 16:44:34 | An In-Depth Guide to Contrastive Learning: Techniques, Models, and Applications | MSCE>ML

• 2024-09-15 18:10:31 | The Tensor Cookbook | MSCE>ML

• 2024-09-15 18:04:05 | [2403.18103] Tutorial on Diffusion Models for Imaging and Vision | MSCE>ML

• 2024-09-15 13:14:05 | Machine Learning Engineering Open Book | MSCE>ML

• 2024-09-05 19:33:01 | mljar/supertree: Visualize decision trees in Python | Python>Vis

• 2024-09-04 12:55:58 | einatboro/awesome-survival-analysis: Resources for Survival Analysis | MSCE>Stat

• 2024-09-04 10:28:56 | Diffusion is spectral autoregression – Sander Dieleman | MSCE>Engg

• 2024-09-04 00:13:52 | DorsaRoh/Machine-Learning: Machine learning from scratch | MSCE>ML

• 2024-09-01 10:18:32 | yamathcy/awesome-music-informatics: A curated list of awesome article, tutorial, library, webpage, etc. | Python>AV>audio-music

• 2024-08-31 08:39:23 | rasbt/LLM-workshop-2024: A 4-hour coding workshop to understand how LLMs are implemented and used | MSCE>ML

• 2024-08-30 13:57:32 | Layman's Guide to Python Built-in Functions · Matt Layman | Python>Lang>tutorials-resources

• 2024-08-30 13:19:11 | Python's Preprocessor | Pydong | Python>Lang>tutorials-resources

• 2024-08-30 13:17:50 | How Pre-Commit Works | Stefanie Molin | Tech>VersionControl

• 2024-08-29 17:12:31 | astral-sh/uv: An extremely fast Python package and project manager, written in Rust. | Python>Lang>packag-docu-distrib

• 2024-08-29 09:28:39 | quant-science/sunday-quant-scientist: A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing | Finance>Quant

• 2024-08-29 08:02:13 | NirDiamant/RAG_Techniques: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses. | MSCE>ML

• 2024-08-18 23:25:47 | Causal Inference in R | MSCE>Stat

• 2024-08-18 23:24:18 | From the Circle to Epicycles (Part 1) - An animated introduction to Fourier Series | andreinc | MSCE>Engg

• 2024-08-18 17:33:37 | TimefoldAI/timefold-solver: The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems. | Python>ML>optimization

• 2024-08-18 16:52:50 | JUCE: audio plugin framework in C++ | Tech>C++>audio-music

• 2024-08-18 16:17:51 | Build a Guitar Synthesizer: Play Musical Tablature in Python – Real Python | Python>AV>audio-music

• 2024-08-18 16:12:55 | Seeing Theory: Visual intro to probability and statistics | MSCE>Stat

• 2024-08-18 01:07:04 | google/mesop: Rapidly build AI apps in Python | Python>Web>apps-dashboards

• 2024-08-18 00:54:16 | Physics-based Deep Learning | MSCE>ML

• 2024-08-17 17:31:43 | ariebovenberg/whenever: ⏰ Modern datetime library for Python, available in Rust or pure Python | Python>Lang>tutorials-resources

• 2024-08-17 17:09:24 | Module itertools overview | mathspp | Python>Lang>tutorials-resources

• 2024-08-17 17:06:04 | taipy: Turns Data and AI algorithms into production-ready web applications in no time. | Python>Web>apps-dashboards

• 2024-08-17 16:47:16 | fasthtml: The fastest way to create an HTML app | Python>Web>frameworks-webservers

• 2024-08-17 16:27:44 | deepdub-ai/audiosample: AudioSample is an optimized numpy-like audio manipulation library, created for researchers, used by developers. | Python>AV>audio-music

• 2024-08-17 16:21:49 | Rust-Python interoperability: course materials | Python>Lang>interop

• 2024-08-17 14:15:06 | Modern Git Commands and Features You Should Be Using | Tech>VersionControl

• 2024-08-17 13:54:14 | Active Statistics | MSCE>Stat

• 2024-08-06 22:31:55 | Linear Algebra Done Right | MSCE>Math

• 2024-08-03 09:06:48 | Top 22 C++ Interview Questions and Answers for 2024 - DEV Community | Career>InterviewPrep

• 2024-07-28 10:25:52 | Elements of Data Science | MSCE>Stat

• 2024-07-28 10:21:54 | A User’s Guide to Statistical Inference and Regression | MSCE>Stat

• 2024-07-14 10:20:32 | Rye | Python>Lang>tutorials-resources

• 2024-07-12 07:42:50 | Deep-ML | Career>InterviewPrep

• 2024-07-10 16:12:54 | PyPI Scout | Python>Lang>tutorials-resources

• 2024-07-09 15:49:28 | microsoft/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system | Python>ML>nlp-llm

• 2024-07-06 17:46:52 | Django from first principles | Python>Web>django

• 2024-07-06 17:45:36 | fxsound2/fxsound-app: FxSound application and DSP source code | Tech>C++>audio-music

• 2024-07-03 10:22:25 | Weekend box office figures | BFI | Data>movies

• 2024-06-30 08:08:41 | visenger/awesome-mlops: A curated list of references for MLOps | MSCE>ML

• 2024-06-23 10:50:52 | Quant Questions - The Leading Online Quant Question Platform | Career>InterviewPrep

• 2024-06-16 22:12:32 | IBKR Quant Home | IBKR Campus | Finance>Quant

• 2024-06-10 23:43:15 | Shubhamsaboo/awesome-llm-apps: Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models. | MSCE>ML

• 2024-06-10 23:26:25 | Applied LLMs - What We’ve Learned From A Year of Building with LLMs | MSCE>ML

• 2024-06-10 21:36:28 | Mesop: rapid python web apps | Python>Web>apps-dashboards

• 2024-06-10 19:57:57 | Think Python, 3rd edition — Think Python, 3rd edition | Python>Lang>tutorials-resources

• 2024-06-10 17:23:03 | GenAI Handbook | MSCE>ML

• 2024-06-06 01:01:51 | Signal Processing for Hearing – Lecture Series – Australian Hearing Hub | MSCE>Engg

• 2024-06-03 21:43:13 | driscollis/pythonlogging: Code examples for the Python Logging book | Python>Lang>tutorials-resources

• 2024-05-30 17:52:32 | C++ Core Guidelines | Tech>C++

• 2024-05-29 07:27:31 | Scientific Python Lectures — Scientific Python Lectures | Python>ML>tools-pkgs-exercises

• 2024-05-26 12:51:12 | dbrojas/optlib: A library for financial options pricing written in Python. | Finance>Quant

• 2024-05-23 21:41:08 | tusharsadhwani/packaged: The easiest way to ship python applications. | Python>Lang>packag-docu-distrib

• 2024-05-23 21:39:11 | NiceGUI | Python>Web>apps-dashboards

• 2024-05-23 11:56:43 | A Beginner's Guide to Unit Testing with Pytest | Better Stack Community | Python>Lang>testing

• 2024-05-23 11:55:55 | likejazz/llama3.np: llama3.np is pure NumPy implementation for Llama 3 model. | Python>ML>nlp-llm

• 2024-05-21 18:11:29 | JoaquinAmatRodrigo/skforecast: Time series forecasting with scikit-learn models | Python>ML>time-series

• 2024-05-21 17:52:57 | naklecha/llama3-from-scratch: llama3 implementation one matrix multiplication at a time | MSCE>ML

• 2024-05-17 15:21:57 | Christian Fries: Lecture: Computational Finance | Finance>Quant

• 2024-05-16 23:31:05 | 100 Exercises To Learn Rust | Tech>Rust

• 2024-05-15 09:18:15 | archinetai/audio-diffusion-pytorch: Audio generation using diffusion models, in PyTorch. | Python>AV>audio-music

• 2024-05-13 07:38:42 | macrosynergy/macrosynergy: Macrosynergy Quant Research | Finance>Quant

• 2024-05-12 11:59:01 | moment-timeseries-foundation-model.github.io | MSCE>ML

• 2024-05-11 03:21:18 | google-research/timesfm: TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. | Python>ML>time-series

• 2024-05-09 11:54:13 | How LLMs Work, Explained Without Math - miguelgrinberg.com | MSCE>ML

• 2024-05-07 23:26:13 | Machine Unlearning in 2024 - Ken Ziyu Liu - Stanford Computer Science | MSCE>ML

• 2024-05-07 21:48:13 | PetrKorab/Arabica: Python package for exploratory text data analysis | Python>ML>nlp-llm

• 2024-05-07 21:37:49 | Book: Alice’s Adventures in a differentiable wonderland - Simone Scardapane | MSCE>ML

• 2024-05-02 22:47:58 | databricks/Spark-The-Definitive-Guide: Spark: The Definitive Guide's Code Repository | Tech>SparkScala

• 2024-05-02 22:47:44 | databricks/LearningSparkV2: This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition] | Tech>SparkScala

• 2024-04-28 20:29:02 | What Global Withdrawal Rates Teach Us About Ideal Retirement Portfolios – Portfolio Charts | Finance>Quant

• 2024-04-28 20:19:31 | Cluster Risk Parity: Equalizing Risk Contributions Between and Within Asset Classes | Portfolio Optimizer | Finance>Quant

• 2024-04-26 02:27:27 | web.mit.edu/dimitrib/www/RLbook.html | MSCE>ML

• 2024-04-24 00:29:57 | Generative AI for Beginners | MSCE>ML

• 2024-04-24 00:26:28 | Python Big O: the time complexities of different data structures in Python - Python Morsels | Python>Lang>tutorials-resources

• 2024-04-23 09:18:35 | Creating a Transformer From Scratch - Part Two: The Rest of the Transformer | Mixed Precision | MSCE>ML

• 2024-04-23 09:18:16 | Creating a Transformer From Scratch - Part One: The Attention Mechanism | Mixed Precision | MSCE>ML

• 2024-04-23 07:56:06 | A Visual Guide to Vision Transformers | MDTURP | MSCE>ML

• 2024-04-21 08:12:41 | Math Matters Problems – Department of Mathematics | MSCE>Math

• 2024-04-17 22:07:21 | Machine Learning for Engineers: Book List 2024 — Bill de hÓra | MSCE>ML

• 2024-04-09 22:42:12 | Models Demystified | MSCE>ML

• 2024-04-09 22:41:06 | The Atlas for the Aspiring Network Scientist | MSCE>ML

• 2024-04-09 22:37:56 | Visualizing Attention, a Transformer's Heart | Chapter 6, Deep Learning | MSCE>ML

• 2024-04-04 22:58:35 | CausalML Book | MSCE>ML

• 2024-04-04 22:56:50 | A Course in Exploratory Data Analysis | MSCE>ML

• 2024-04-04 22:54:44 | The Best Python Cheat Sheet | Python>Lang>tutorials-resources

• 2024-04-04 22:33:06 | openscilab/nava: 🎵 Playing Sounds in Python | Python>AV>audio-music

• 2024-03-31 09:36:01 | Lightning-AI/lightning-thunder: Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs. | Python>ML>nlp-llm

• 2024-03-30 14:44:42 | Reading and Writing WAV Files in Python – Real Python | Python>AV>audio-music

• 2024-03-29 00:16:02 | WallStreetQuants - Quant Job Listings | Career>JobSearch

• 2024-03-26 15:03:01 | bayesianbandits/bayesianbandits: A Pythonic microframework for multi-armed bandit problems | Python>ML>misc-topics

• 2024-03-26 15:01:08 | Lessons in Statistical Thinking | MSCE>Stat

• 2024-03-26 14:59:59 | What They Forgot to Teach You About R | Tech>R

• 2024-03-26 07:10:54 | amazon-science/chronos-forecasting: Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting | Python>ML>time-series

• 2024-03-25 23:34:02 | Treasury Inflation-Protected Securities | TIPS: Perfect investment for imperfect times? News, ideas, alerts | Finance>General

• 2024-03-22 12:51:42 | mfrdixon/ML_Finance_Codes: Machine Learning in Finance: From Theory to Practice Book | Finance>Quant

• 2024-03-21 22:07:27 | MusicLang/musiclang_predict: AI Prediction api of the MusicLang package | Python>AV>audio-music

• 2024-03-20 14:27:57 | skorch-dev/skorch: A scikit-learn compatible neural network library that wraps PyTorch | Python>ML>tools-pkgs-exercises

• 2024-03-19 14:14:29 | Model-View-Controller (MVC) in Python Web Apps: Explained With Lego – Real Python | Python>Web>flask

• 2024-03-19 08:18:00 | Applied Machine Learning for Tabular Data | MSCE>ML

• 2024-03-16 11:58:01 | Guide to Time-Series Analysis in Python | Python>ML>time-series

• 2024-03-16 08:46:54 | CausalML Book | MSCE>ML

• 2024-03-15 17:32:34 | Beyond the Numbers: A Trader’s Guide to Statistical Arbitrage and Convex Optimization — Beyond the Numbers: A Trader's Guide to Statistical Arbitrage and Convex Optimization | Finance>Quant

• 2024-03-15 16:29:00 | nautechsystems/nautilus_trader: A high-performance algorithmic trading platform and event-driven backtester | Finance>Quant

• 2024-03-12 04:24:37 | Regression and Other Stories | MSCE>Stat

• 2024-03-05 13:37:22 | Frappe Framework: Open Source Low Code Framework | Tech>WebTools

• 2024-03-05 07:41:07 | KimMeen/Time-LLM: [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models" | Python>ML>time-series

• 2024-03-02 07:49:40 | fortitudo-tech/fortitudo.tech: Conditional Value-at-Risk (CVaR) portfolio optimization and Entropy Pooling views / stress-testing in Python. | Finance>Quant

• 2024-03-01 07:16:59 | C++20 idioms for parameter packs | Tech>C++

• 2024-03-01 04:19:23 | Sinaptik-AI/pandas-ai: Chat with your data (SQL, CSV, pandas, polars, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG. | Python>ML>tools-pkgs-exercises

• 2024-02-29 12:26:42 | weareprestatech/hotpdf: hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six | Python>Lang>interop

• 2024-02-29 08:48:00 | Learn Rust - Rust Programming Language | Tech>Rust

• 2024-02-27 14:27:28 | Feature Engineering A-Z | MSCE>ML

• 2024-02-26 17:57:39 | GitHub - facebookresearch/Pearl: A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta. | Python>ML>misc-topics

• 2024-02-25 22:58:29 | Past Issues of The PyQuant Newsletter - Quant Python Code | Finance>Quant

• 2024-02-23 08:12:16 | Stability-AI/stable-audio-tools: Generative models for conditional audio generation | Python>AV>audio-music

• 2024-02-22 22:23:31 | Introduction to Options – The Greeks | Trading Lesson | Traders' Academy | IBKR Campus | Finance>Options

• 2024-02-22 12:27:03 | Data Sources – Portfolio Charts | Data>finance

• 2024-02-22 12:25:20 | karpathy/minbpe: Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization. | Python>ML>nlp-llm

• 2024-02-20 19:32:25 | enjalot/latent-scope: A scientific instrument for investigating latent spaces | Python>Vis

• 2024-02-19 12:17:56 | chrisconlan/algorithmic-trading-with-python: Source code for Algorithmic Trading with Python (2020) by Chris Conlan | Finance>Quant

• 2024-02-17 13:28:48 | facebookresearch/audiocraft: Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning. | Python>AV>audio-music

• 2024-02-13 08:04:01 | time-series-foundation-models | MSCE>ML

• 2024-02-13 08:03:16 | time-series-foundation-models/lag-llama | Python>ML>time-series

• 2024-02-12 16:35:39 | Stanford CS25 - Transformers United - YouTube | MSCE>ML

• 2024-02-07 18:40:42 | Supervised Machine Learning for Science | MSCE>ML

• 2024-02-07 18:39:14 | SQL for the Weary | Tech>Databases

• 2024-02-03 01:54:47 | great_tables | Python>Lang>reporting

• 2024-02-03 01:14:50 | Running Open Source LLMs In Python - A Practical Guide | Python>ML>nlp-llm

• 2024-02-02 18:44:01 | The Rust Programming Language | Tech>Rust

• 2024-01-31 10:12:06 | rasbt/LLMs-from-scratch: Implementing a ChatGPT-like LLM from scratch, step by step | MSCE>ML

• 2024-01-31 00:04:17 | stas00/ml-engineering: Machine Learning Engineering Open Book | MSCE>ML

• 2024-01-30 22:27:13 | Gamma Scalping: How to Use in Trading, Strategies, Formula, Examples and More | Finance>TradingStrategies

• 2024-01-30 04:49:14 | SoundMexPro - Your Audio Tool for Matlab®, Octave and Python | Python>AV>audio-music

• 2024-01-26 09:23:37 | aisynth/diffmoog | Python>AV>audio-music

• 2024-01-25 15:03:25 | theOGognf/finagg: A Python package for aggregating historical data from popular and free financial APIs, and for transforming that data into features for AI/ML. | Finance>Quant

• 2024-01-25 10:21:23 | State Space Models: A Modern Approach | MSCE>Engg

• 2024-01-24 23:21:51 | HarshaDevulapalli/indian-movie-theatres: Data and Code for "Here's how much Indians pay to watch films" | Data>movies

• 2024-01-23 13:35:46 | ashishps1/awesome-behavioral-interviews: This repository contains tips and resources to prepare for behavioral interviews. | Career>InterviewPrep

• 2024-01-23 10:30:38 | DataTalksClub/data-engineering-zoomcamp: Free Data Engineering course! | MSCE>ML

• 2024-01-23 10:15:39 | Deep Learning Fundamentals - Lightning AI | MSCE>ML

• 2024-01-22 08:52:01 | Math Academy | MSCE>Math

• 2024-01-17 11:18:17 | A Primer on Quant Trading | Udemy | Finance>Quant

• 2024-01-12 17:34:23 | DopplerHQ/awesome-interview-questions: :octocat: A curated awesome list of lists of interview questions. Feel free to contribute! | Career>InterviewPrep

• 2024-01-09 19:31:29 | rmcelreath/stat_rethinking_2024 | MSCE>Stat

• 2024-01-09 09:57:10 | Sparse Index Tracking: Limiting the Number of Assets in an Index Tracking Portfolio | Portfolio Optimizer | Finance>Quant

• 2024-01-07 14:11:04 | vicaws/arbitragerepair: Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options. | Finance>Quant

• 2024-01-06 18:38:10 | skfolio/skfolio: Python library for portfolio optimization built on top of scikit-learn | Finance>Quant

• 2024-01-05 12:42:01 | hudson-and-thames/backtest_tutorial | Finance>Quant

• 2024-01-02 23:25:31 | Farmhouse121/Financial-Data-Science-in-Python: This collects the scripts and notebooks required to reproduce my published work. | Finance>Quant

• 2024-01-02 21:25:45 | OOP in Python - by Eric Matthes - Mostly Python | Python>Lang>oo-meta

• 2024-01-02 16:22:49 | open-mmlab/Amphion: Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development. | Python>Lang>packag-docu-distrib

• 2024-01-02 14:13:21 | ofek/pyapp: Runtime installer for Python applications | Python>Lang>packag-docu-distrib

• 2024-01-02 12:30:35 | Machine Learning School | MSCE>ML

• 2024-01-02 06:36:13 | GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks. | MSCE>ML

• 2023-12-26 22:48:35 | Python Classes: The Power of Object-Oriented Programming – Real Python | Python>Lang>oo-meta

• 2023-12-26 22:47:09 | SOLID Principles: Improve Object-Oriented Design in Python – Real Python | Python>Lang>oo-meta

• 2023-12-25 11:20:04 | haoheliu/versatile_audio_super_resolution: Versatile audio super resolution (any -> 48kHz) with AudioSR. | Python>AV>audio-music

• 2023-12-25 10:09:21 | Think Bayes 2 — Think Bayes | MSCE>Stat

• 2023-12-21 12:06:50 | 🗺️ How to prepare the technical interview - by Fran Soto | Career>InterviewPrep

• 2023-12-17 11:25:15 | Deep Learning - Foundations and Concepts | MSCE>ML

• 2023-12-16 15:55:27 | rigtorp/awesome-modern-cpp: A collection of resources on modern C++ | Tech>C++

• 2023-12-15 10:03:14 | krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024 | MSCE>ML

• 2023-12-08 14:08:54 | The Art and Science of Trading Carry - Robot Wealth | Finance>General

• 2023-12-06 17:05:04 | khangich/machine-learning-interview: Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io. | Career>InterviewPrep

• 2023-11-23 17:23:19 | Generative AI for Beginners | MSCE>ML

• 2023-11-14 20:43:47 | dlt-hub/dlt: data load tool (dlt) is an open source Python library that makes data loading easy 🛠️ | Python>Lang>tutorials-resources

• 2023-11-09 15:36:30 | koaning/cluestar: Gain clues from clustering! | Python>Vis

• 2023-11-09 07:15:04 | MalcolmSlaney/python_auditory_toolbox: This is a Python implementation of the Auditory Toolbox | Python>AV>audio-music

• 2023-11-06 10:02:53 | Giskard-AI/giskard: 🐢 The testing framework for ML models, from tabular to LLMs | MSCE>ML

• 2023-11-03 14:00:25 | Stochastic Processes in Cell Biology: Volume II | SpringerLink | MSCE>Bio

• 2023-11-02 11:59:15 | Introduction to Probability for Computing | MSCE>CS

• 2023-10-31 05:00:34 | bdecon/US-chartbook: Automated PDF containing charts, tables, maps, and analysis of the US economy | Finance>Quant

• 2023-10-29 12:26:10 | georgezouq/awesome-ai-in-finance: 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market. | Finance>Quant

• 2023-10-28 11:32:29 | Getting started with Llama 2 - AI at Meta | MSCE>ML

• 2023-10-24 21:19:39 | Deep Learning course | MSCE>ML

• 2023-10-21 13:44:31 | Software Design by Example | MSCE>CS

• 2023-10-21 09:14:14 | AsyncAlgoTrading/aat: Asynchronous, event-driven algorithmic trading in Python and C++ | Finance>Quant

• 2023-10-21 08:59:20 | Volatility Forecasting: Simple and Exponentially Weighted Moving Average Models | Portfolio Optimizer | Finance>Quant

• 2023-10-20 07:46:50 | autodiff_puzzlers.ipynb - Colaboratory | MSCE>ML

• 2023-10-16 15:47:04 | Tidy Finance with Python | Finance>Tools

• 2023-10-15 15:34:21 | hkproj/pytorch-stable-diffusion: Stable Diffusion implemented from scratch in PyTorch | MSCE>ML

• 2023-10-15 15:33:00 | Introduction to Modern Statistics (2nd Ed) | MSCE>Stat

• 2023-10-14 14:28:39 | A guide for deploying Shinylive Python application into Github Pages | Python>Web>apps-dashboards

• 2023-10-14 14:26:32 | Autodiff-Puzzles | MSCE>ML

• 2023-10-07 21:46:35 | dmlc/xgboost: Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow | Python>ML>trees-graphs

• 2023-10-07 17:56:43 | 5 Ways to Measure Execution Time in Python | Python>Lang>tutorials-resources

• 2023-10-07 12:32:08 | grananqvist/Awesome-Quant-Machine-Learning-Trading: Quant/Algorithm trading resources with an emphasis on Machine Learning | Finance>Quant

• 2023-10-05 23:03:27 | The Recursive Book of Recursion | Python>Lang>tutorials-resources

• 2023-10-05 15:37:47 | eliasdorneles/upiano: A Piano in your terminal | Python>AV>audio-music

• 2023-10-03 11:26:49 | google/temporian: Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖 | Python>ML>time-series

• 2023-09-27 07:24:37 | mckinsey/vizro: Vizro is a toolkit for creating modular data visualization applications. | Python>Vis

• 2023-09-25 15:29:05 | 6 Cool Things You Can Do With The Functools Module - Pybites | Python>Lang>tutorials-resources

• 2023-09-25 15:17:59 | Ghassen-Chaabouni/machine_learning_games: Set of games and simulations designed to experiment with QLearning, Neuroevolution, and PoseNet. | MSCE>ML

• 2023-09-24 17:17:04 | Efficient deep learning | MSCE>ML

• 2023-09-24 17:06:09 | business-science/pytimetk: The time series toolkit for python. | Python>ML>time-series

• 2023-09-24 17:05:31 | timetk for Python | Python>ML>time-series

• 2023-09-20 13:52:39 | What Key is 'Hey Joe' in? | Python>AV>audio-music

• 2023-09-20 13:38:16 | Why does Python Code Run Faster in a Function? | Python>Lang>tutorials-resources

• 2023-09-16 10:39:10 | Bypassing the GIL for Parallel Processing in Python – Real Python | Python>Lang>multitasking

• 2023-09-11 14:37:51 | stanfordnlp/dspy: DSPy: The framework for programming with foundation models | Python>ML>nlp-llm

• 2023-09-08 23:27:38 | All About N-HiTS: The Latest Breakthrough in Time Series Forecasting | Python>ML>time-series

• 2023-09-07 21:23:05 | Packaging Python Projects in 2023 | Python>Lang>packag-docu-distrib

• 2023-09-07 16:48:57 | Python Numerical Methods: A Guide For Engineers And Scientists | MSCE>CS

• 2023-09-05 23:28:17 | Introduction To Python's Functools Module - Florian Dahlitz | Python>Lang>tutorials-resources

• 2023-09-05 23:26:33 | rougier/ML-Recipes: A collection of stand-alone Python machine learning recipes | MSCE>ML

• 2023-09-05 17:13:23 | How to Create a Beautiful Polar Histogram With Python and Matplotlib - DEV Community | Python>Vis

• 2023-09-01 00:55:42 | Commodity.com: Oil, Gold & All Commodities Explained | Finance>Commodities

• 2023-08-31 23:51:04 | The Numbers - Where Data and the Movie Business Meet | Data>movies

• 2023-08-28 10:17:57 | Sum It Up! | The free AI Summary Tool | Texts, Articles, Songs | Tech>Apps

• 2023-08-24 22:28:15 | Resources for Learning Measure Theory – Brett Mullins – Researcher - Data Scientist | MSCE>Math

• 2023-08-24 12:58:05 | Correlation Matrix Stress Testing: Random Perturbations of a Correlation Matrix | Portfolio Optimizer | MSCE>Stat

• 2023-08-22 11:48:33 | Git tips and tricks | Tech>VersionControl

• 2023-08-20 11:55:34 | Weird Python "Features" That Might Catch You By Surprise | Martin Heinz | Personal Website & Blog | Python>Lang>tutorials-resources

• 2023-08-19 06:16:27 | Learn Time Series Tutorials | Python>ML>time-series

• 2023-08-19 05:11:14 | Catching up on the weird world of LLMs | MSCE>ML

• 2023-08-18 15:14:17 | Prompt Engineering: A Practical Example – Real Python | Python>ML>applications

• 2023-08-18 15:12:12 | Comparison of Sorting Algorithms - CodersLegacy | MSCE>CS

• 2023-08-18 15:09:19 | HappyCerberus/book-cpp-algorithms: The Standard Algorithms in C++. | Tech>C++

• 2023-08-18 14:49:14 | Harvard CS50’s Artificial Intelligence with Python – Full University Course - YouTube | MSCE>ML

• 2023-08-14 14:10:30 | Peter Shor - 8.370/18.435 Lecture Notes 2022 | MSCE>CS

• 2023-08-14 12:24:24 | Creating a context manager in Python | Python>Lang>tutorials-resources

• 2023-08-11 16:36:52 | Finance Toolkit | Jeroen Bouma | Finance>Quant

• 2023-08-11 16:36:35 | Llama from scratch (or how to implement a paper without crying) | Brian Kitano | MSCE>ML

• 2023-08-11 08:40:35 | A non-mathematical introduction to Kalman Filters for programmers - Pravesh Koirala | MSCE>Engg

• 2023-08-10 00:07:23 | Large language models, explained with a minimum of math and jargon | MSCE>ML

• 2023-08-03 20:14:55 | Python ConfigParser Tutorial - Comprehensive Guide To Working With Configuration Files With Python | Python>Lang>tutorials-resources

• 2023-08-03 20:09:39 | JerBouma/FinanceToolkit: Transparent and Efficient Financial Analysis | Finance>Tools

• 2023-08-02 07:33:13 | Python: Profile a section of code with cProfile - Adam Johnson | Python>Lang>tutorials-resources

• 2023-07-26 07:04:01 | srush/LLM-Training-Puzzles: What would you do with 1000 H100s... | MSCE>ML

• 2023-07-22 00:15:10 | mcdallas/wallstreet: Real time stock and option data. | Finance>Quant

• 2023-07-20 19:43:54 | descendant-ai/functime: Time-series machine learning and embeddings at scale. | Python>ML>time-series

• 2023-07-20 19:02:38 | Linear Programming in Python: practical examples | Python>ML>optimization

• 2023-07-19 10:49:45 | What AI can do with a toolbox... Getting started with Code Interpreter | MSCE>ML

• 2023-07-18 18:36:46 | Lets-Plot: open-source plotting library for statistical data | Python>Vis

• 2023-07-18 18:31:45 | dabeaz-course/python-mastery: Advanced Python Mastery (course by @dabeaz) | Python>Lang>tutorials-resources

• 2023-07-11 11:18:08 | tinygrad/tinygrad: You like pytorch? You like micrograd? You love tinygrad! ❤️ | Python>ML>neural-deep

• 2023-07-11 10:35:04 | letianzj/quanttrader: Backtest and live trading in Python | Finance>Quant

• 2023-07-10 12:05:46 | PyBites Platform | Real World Python Exercises | Career>InterviewPrep

• 2023-07-08 10:06:36 | Today's Premarket Stock Movers - Stock Analysis | Finance>General

• 2023-07-03 11:00:19 | I Tried 200+ AI Tools, These Are The Very Best | by Jano le Roux | The Startup | Jun, 2023 | Medium | Python>ML>applications

• 2023-07-01 08:52:37 | CLI tools hidden in the Python standard library | Simon Willison’s TILs | Python>Lang>tutorials-resources

• 2023-07-01 08:40:20 | The Most Successful ETF Launch of All Time Raises Questions | Morningstar | Finance>ETFs

• 2023-06-29 15:43:56 | aeon-toolkit/aeon: A unified framework for machine learning with time series | Python>ML>time-series

• 2023-06-17 14:30:25 | Bayesian Statistical Methods | MSCE>Stat

• 2023-06-17 13:42:08 | Yes, Transformers are Effective for Time Series Forecasting (+ Autoformer) | Python>ML>time-series

• 2023-06-16 18:05:21 | tsfresh - Extract Features on Time Series Easily | Python>ML>time-series

• 2023-06-10 13:35:40 | Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI | Career>InterviewPrep

• 2023-06-09 08:39:04 | The Bogle Model for Bonds: Predicting the Returns of Constant Maturity Government Bond ETFs | Portfolio Optimizer | Finance>FixedIncome

• 2023-06-08 20:33:08 | Effective Rust | Tech>Rust

• 2023-06-08 09:53:48 | Eventual-Inc/Daft: The Python DataFrame for Complex Data | Python>ML>tools-pkgs-exercises

• 2023-06-08 09:51:26 | salesforce/CodeTF: CodeTF: One-stop Transformer Library for State-of-the-art Code LLM | Python>ML>applications

• 2023-06-05 10:34:44 | Generative AI learning path | Google Cloud Skills Boost | MSCE>ML

• 2023-06-03 11:08:13 | PromtEngineer/localGPT: Chat with your documents on your local device using GPT models. No data leaves your device and 100% private. | Python>ML>applications

• 2023-06-03 10:48:27 | youssefHosni/Data-Science-Interview-Questions-Answers: Curated list of data science interview questions and answers | Career>InterviewPrep

• 2023-06-03 09:31:12 | 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐈𝐬 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐃𝐨 𝐍𝐨𝐭 𝐍𝐞𝐞𝐝 | Python>ML>time-series

• 2023-06-03 09:30:08 | Transformers Are What You Do Not Need | Python>ML>time-series

• 2023-05-31 09:11:00 | Reuters | Business News | Finance

• 2023-05-29 13:12:26 | Complex and semantic figure composition (subplot_mosaic) — Matplotlib 3.7.1 documentation | Python>Vis

• 2023-05-29 11:10:41 | Daily Market Commentaries - Global Market Coverage by RIA Advisors | Finance>MarketsReview>Daily

• 2023-05-29 08:21:52 | cjhutto/vaderSentiment: VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains. | Python>ML>nlp-llm

• 2023-05-28 20:55:41 | AI Canon | Andreessen Horowitz | MSCE>ML

• 2023-05-28 10:18:00 | Publishing Python Packages on PyPI: A Comprehensive Guide” | Python>Lang>packag-docu-distrib

• 2023-05-19 19:05:02 | Python libs that I wish were part of the standard library | Python>Lang>tutorials-resources

• 2023-05-19 18:09:42 | Real Multithreading is Coming to Python - Learn How You Can Use It Now | Martin Heinz | Personal Website & Blog | Python>Lang>multitasking

• 2023-05-19 18:05:58 | dsdanielpark/Bard-API: The python package that returns response of Google Bard through API. | Python>ML>applications

• 2023-05-19 10:29:34 | llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs | MSCE>ML

• 2023-05-19 09:20:11 | nomic-ai/gpt4all: gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue | MSCE>ML

• 2023-05-17 09:49:00 | GT-RIPL/Awesome-LLM-Robotics: A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites | MSCE>ML

• 2023-05-17 09:48:30 | Everything-LLMs-And-Robotics: The world's largest GitHub Repository for LLMs + Robotics | MSCE>ML

• 2023-05-16 17:02:51 | imartinez/privateGPT: Interact privately with your documents using the power of GPT, 100% privately, no data leaks | Python>ML>applications

• 2023-05-15 12:26:20 | Biodiversity Risk | Finance>ESG

• 2023-05-10 23:14:05 | Challenging Brainteasers for Interviews | Financial Engineering Press | Career>InterviewPrep

• 2023-05-10 11:58:54 | edarchimbaud/awesome-systematic-trading: A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. | Finance>Quant

• 2023-05-05 20:12:31 | Arize-ai/phoenix: ML Observability in a Notebook - Uncover Insights, Surface Problems, Monitor, and Fine Tune your Generative LLM, CV and Tabular Models | Python>ML>train-eval-explain-deploy

• 2023-05-04 22:46:17 | AIGC-Audio/AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head | Python>AV>audio-music

• 2023-05-04 14:55:33 | Apache ECharts | Python>Vis

• 2023-05-03 10:53:11 | comet-ml/kangas: 🦘 Explore multimedia datasets at scale | Python>ML>tools-pkgs-exercises

• 2023-05-03 06:05:49 | harryzhangOG/Deep-RL-Notes: A collection of comprehensive notes on Deep Reinforcement Learning, customized for UC Berkeley's CS 285 (prev. CS 294-112) | MSCE>ML

• 2023-05-02 12:40:54 | Economic Calendar - Yahoo Finance | Finance

• 2023-05-01 19:26:47 | gventuri/pandas-ai: Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational | Python>ML>tools-pkgs-exercises

• 2023-05-01 12:42:12 | LangChain NLP Course - YouTube | MSCE>ML

• 2023-04-29 13:15:16 | Mutual Fund to ETF Converter | ETF Database | Finance>ETFs

• 2023-04-27 19:27:21 | CustomTkinter | Python>Lang>gui-dev

• 2023-04-24 11:05:15 | suno-ai/bark: 🔊 Text-Prompted Generative Audio Model | Python>AV>audio-music

• 2023-04-23 12:49:02 | MIT course: FUTURE OF AI | MSCE>ML

• 2023-04-23 00:55:58 | Quantocracy | Finance>General

• 2023-04-20 18:10:48 | Data-Driven Mathematical Optimization in Python — Companion Notebooks for Data-Driven Optimization in Python | Python>ML>optimization

• 2023-04-20 06:54:09 | Dynamic Programming Algorithms Every Programmer Should Know - DEV Community | Career>InterviewPrep

• 2023-04-18 14:40:53 | igorbrigadir/awesome-twitter-algo: The release of the Twitter algorithm, annotated for recsys | Python>ML>misc-topics

• 2023-04-14 14:03:23 | cppreference.com | Tech>C++

• 2023-04-11 16:32:41 | A guide to natural language processing with Python using spaCy - LogRocket Blog | Python>ML>nlp-llm

• 2023-04-09 15:13:51 | fast.ai - From Deep Learning Foundations to Stable Diffusion | MSCE>ML

• 2023-04-08 12:33:23 | finos/perspective: A data visualization and analytics component, especially well-suited for large and/or streaming datasets. | Python>Web>apps-dashboards

• 2023-04-02 08:02:26 | nkaz001/hftbacktest: A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books. | Finance>Tools>algo-trading

• 2023-04-01 10:14:27 | feature-engine/feature_engine: Feature engineering package with sklearn like functionality | Python>ML>feat-engg-select

• 2023-03-30 11:18:03 | GitHub - swing-opensource/swingmusic: Self hosted and open-source music player for local audio files, built with both visual coolness and functionality in mind | Python>AV>audio-music

• 2023-03-30 11:10:09 | audioFlux: A library for audio and music analysis, feature extraction. | Python>AV>audio-music

• 2023-03-29 14:47:49 | pearcej/cpp4python: Interactive e-book for Python to C++ transition | Python>Lang>interop

• 2023-03-28 14:10:01 | Options Trading Strategies: 15 Most Popular Strategies | Finance>Options

• 2023-03-26 10:44:39 | Machine Learning  |  Google Developers | MSCE>ML

• 2023-03-26 01:29:18 | Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ | Python>ML>optimization

• 2023-03-25 16:50:10 | promptslab/Awesome-Prompt-Engineering: This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc | MSCE>ML

• 2023-03-25 12:56:10 | modelscope/modelscope: ModelScope: bring the notion of Model-as-a-Service to life. | MSCE>ML

• 2023-03-23 11:12:46 | pycob/pyvibe: Generate styled HTML pages from Python | Python>Web>static-websites

• 2023-03-21 15:13:19 | The Bayesian Killer App – Probably Overthinking It | Python>ML>bayesian

• 2023-03-21 15:11:23 | SQL Tutor | Career>InterviewPrep

• 2023-03-21 15:06:58 | The Mathematics of Bonds: Simulating the Returns of Constant Maturity Government Bond ETFs | Portfolio Optimizer | Finance>Quant

• 2023-03-17 21:44:01 | How to Generate Images Using the OpenAI API and DALL·E 2 in Python | Python>ML>neural-deep

• 2023-03-17 17:18:54 | Algorithmic Trading in Python with Machine Learning — PyBroker | Finance>Quant

• 2023-03-17 17:16:51 | Applied Machine Learning | Applied Machine Learning | MSCE>ML

• 2023-03-17 17:14:26 | Predicting wine quality using chemical properties | Python>ML>many-methods

• 2023-03-17 12:58:19 | Prompt Engineering Guide | Prompt Engineering Guide | MSCE>ML

• 2023-03-17 07:36:13 | karpathy/nanoGPT: The simplest, fastest repository for training/finetuning medium-sized GPTs. | Python>ML>neural-deep

• 2023-03-15 14:22:27 | GitHub - jjakimoto/finance_ml: Advances in Financial Machine Learning | Finance>Quant

• 2023-03-15 14:22:07 | GitHub - operatorai/modelstore: 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider. | MSCE>ML

• 2023-03-15 14:21:31 | Multivariate Probabilistic Time Series Forecasting with Informer | Python>ML>time-series

• 2023-03-14 09:18:18 | A guide for using the Wavelet Transform in Machine Learning – ML Fundamentals | Python>ML>time-series

• 2023-03-13 01:01:51 | dream-faster/fold: Nowcasting (single step ahead prediction on time series) on a rolling/expanding window basis. | Python>ML>time-series

• 2023-03-12 11:31:23 | 10 coding problems you could see in a Goldman Sachs interview | Career>InterviewPrep

• 2023-03-11 08:53:40 | 3 Hard Python Coding Interview Questions For Data Science - KDnuggets | Career>InterviewPrep

• 2023-03-11 00:28:11 | Neural Network from Scratch (No NumPy) | by Piotr Lachert | Towards Data Science | MSCE>ML

• 2023-03-07 14:48:17 | jaymody/picoGPT: An unnecessarily tiny implementation of GPT-2 in NumPy. | MSCE>ML

• 2023-03-06 09:33:40 | rasbt/machine-learning-notes: Collection of useful machine learning codes and snippets (originally intended for my personal use) | MSCE>ML

• 2023-03-04 00:21:59 | [2302.07730] Transformer models: an introduction and catalog | MSCE>ML

• 2023-03-04 00:20:46 | Understanding Large Language Models -- A Transformative Reading List | MSCE>ML

• 2023-03-03 07:26:35 | dev-cafe/cmake-cookbook: CMake Cookbook recipes. | Tech>C++

• 2023-02-26 15:14:47 | Introduction to Data-Centric AI | MSCE>ML

• 2023-02-24 21:15:45 | This Blog is Systematic | Finance>Quant

• 2023-02-24 06:44:49 | duarteocarmo/boilerplate | Python>Lang>tutorials-resources

• 2023-02-22 09:08:14 | samim23/polymath: Convert any music library into a music production sample-library with ML | Python>AV>audio-music

• 2023-02-17 22:20:14 | GPT in 60 Lines of NumPy | Jay Mody | MSCE>ML

• 2023-02-12 09:19:27 | Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch | MSCE>ML

• 2023-02-06 14:07:51 | dair-ai/Prompt-Engineering-Guide: Guide and resources for prompt engineering | MSCE>ML

• 2023-01-31 14:11:55 | MusicLM | Python>AV>audio-music

• 2023-01-29 10:58:27 | Concurrent Programming in Python | Python>Lang>multitasking

• 2023-01-29 10:39:48 | The Illustrated Machine Learning Website | MSCE>ML

• 2023-01-29 10:35:08 | The Diversification Ratio: Measuring Portfolio Diversification | Portfolio Optimizer | Finance>Quant

• 2023-01-29 02:53:18 | facebookresearch/balance: The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest. | Python>ML>train-eval-explain-deploy

• 2023-01-28 20:15:29 | google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models. | Python>ML>neural-deep

• 2023-01-28 10:31:33 | Composing music with cellular automata | Python>AV>audio-music

• 2023-01-25 19:32:35 | Datasets for Machine Learning and Deep Learning | MSCE>ML

• 2023-01-24 09:55:33 | https://udlbook.github.io/udlbook/ | MSCE>ML

• 2023-01-22 21:00:37 | Creating a Web Application to Extract Topics from Audio with Python - KDnuggets | Python>ML>misc-topics

• 2023-01-22 11:24:47 | Transformer models: an introduction and catalog — 2023 Edition - AI, software, tech, and people, not in that order… by X | MSCE>ML

• 2023-01-21 14:27:10 | 7 Best Platforms to Practice SQL - KDnuggets | Career>InterviewPrep

• 2023-01-20 20:52:26 | AI4Finance-Foundation/FinRL-Meta: FinRL­-Meta: Data-Driven Metaverse for Financial Reinforcement Learning. 🔥 | Finance>Quant

• 2023-01-15 09:47:50 | dair-ai/ML-Papers-Explained: Explanation to key concepts in ML | MSCE>ML

• 2023-01-11 07:09:19 | rasbt/matplotlib-gallery: Examples of matplotlib codes and plots | Python>Vis

• 2023-01-09 16:35:20 | dair-ai/ML-Papers-of-the-Week: 🔥Highlighting the top ML papers every week. | MSCE>ML

• 2023-01-07 07:24:38 | hpcaitech/ColossalAI: Colossal-AI: A Unified Deep Learning System for Big Model Era | MSCE>ML

• 2023-01-03 22:20:15 | How Shapley Values Work | MSCE>ML

• 2023-01-01 17:55:41 | musescore/MuseScore: MuseScore is an open source and free music notation software. For support, contribution, bug reports, visit MuseScore.org. Fork and make pull requests! | Tech>C++>audio-music

• 2022-12-31 16:58:27 | Picture Perfect Portfolios | Alternative Investing and ETF Reviews | Finance>Tools>portfolio

• 2022-12-31 13:22:21 | From Python to Numpy | Python>Lang>tutorials-resources

• 2022-12-28 10:44:10 | nebuly-ai/nebullvm: Accelerate AI models leveraging best-of-breed optimization techniques 🚀 | MSCE>ML

• 2022-12-27 16:20:35 | Vector animations with Python - del( self ) | Python>Vis

• 2022-12-27 16:19:44 | How to Record Audio using Python — Picovoice | Python>AV>audio-music

• 2022-12-27 15:51:22 | 190 Python Projects with Source Code | by Aman Kharwal | Medium | Python>Lang>tutorials-resources

• 2022-12-26 08:19:33 | High-Dimensional Probability: Course | MSCE>Stat

• 2022-12-26 07:47:28 | nebullvm/apps/accelerate/forward_forward at main · nebuly-ai/nebullvm · GitHub | MSCE>ML

• 2022-12-24 11:57:59 | Mathematics for Machine Learning | MSCE>ML

• 2022-12-22 22:16:31 | Challenging algorithms and data structures every programmer should try - Austin Z. Henley | Career>InterviewPrep

• 2022-12-22 06:43:51 | valeman/awesome-conformal-prediction: A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries. | MSCE>ML

• 2022-12-20 07:23:11 | Learn Prompting | Learn Prompting | MSCE>ML

• 2022-12-18 12:05:34 | Nixtla/statsforecast: Statistical vs Deep Learning forecasting methods | Python>ML>time-series

• 2022-12-18 12:03:53 | CS 329S | Stanford | ML systems design | MSCE>ML

• 2022-12-10 21:07:34 | An Easy Way to Diversify Your Trend Following Strategy — Raposa | Finance>TradingStrategies

• 2022-12-10 20:41:54 | Portfolio Overlays for Concentrated Stock Position | Swan Insights | Finance>TradingStrategies

• 2022-12-06 17:52:56 | shankarpandala/lazypredict: Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning | Python>ML>many-methods

• 2022-11-29 20:10:14 | jasonstrimpel/volatility-trading: based on Euan Sinclair's Volatility Trading | Finance>Options

• 2022-11-28 12:09:29 | BofA: S&P 500 Fast Convergence · Issue #46 · lalit-ponnala/group | Python>ML>misc-topics

• 2022-11-28 10:13:58 | pymc-labs/CausalPy: A Python package for causal inference in quasi-experimental settings | Python>ML>misc-topics

• 2022-11-26 15:41:47 | Allen: CFA Question Bank Question of the Day | Finance>CFA

• 2022-11-19 12:51:38 | How to Benchmark (Python) Code | Python>Lang>tutorials-resources

• 2022-11-19 12:50:32 | Parallel Nested For-Loops in Python | Python>Lang>multitasking

• 2022-11-15 16:44:31 | Forecasting with Structural AR Timeseries — PyMC example gallery | Python>ML>time-series

• 2022-11-14 21:17:59 | probml/dynamax: State Space Models library in JAX | Python>ML>applications

• 2022-11-14 15:30:24 | Valueline | Finance>MarketsReview>Daily

• 2022-11-13 10:30:26 | All Important Data Structures & Algorithms for Coding Interview - DEV Community 👩‍💻👨‍💻 | Career>InterviewPrep

• 2022-11-11 16:05:14 | Python Asyncio: The Complete Guide | Python>Lang>multitasking

• 2022-11-10 11:41:51 | Portfolio Optimizer | Finance>Quant

• 2022-11-10 03:56:36 | Forecasting: Principles and Practice (3rd ed) | MSCE>Stat

• 2022-11-08 01:24:30 | Blog - projectfinance | Finance>Quant

• 2022-11-06 17:20:05 | Python quant courses | Finance>Tools>algo-trading

• 2022-11-06 17:19:13 | PQN #017: Build And Run A Backtest Like The Pros | Finance>Tools>algo-trading

• 2022-11-05 13:58:49 | The PyQuant Newsletter - Code You Can Use | Finance>Tools>algo-trading

• 2022-11-04 11:47:11 | Build a Backtester in Python in 10 Minutes | Finance>Quant

• 2022-10-30 17:14:31 | epymetheus/epymetheus: Multi-asset backtesting framework. An intuitive API lets analysts try out their strategies right away. Fast execution of profit-take/loss-cut orders is built-in. Seamless with Pandas. | Finance>Tools>algo-trading

• 2022-10-27 22:13:48 | Why Learn Python Concurrency | Python>Lang>multitasking

• 2022-10-27 19:52:53 | Farama-Foundation/Gymnasium: A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym) | Python>ML>misc-topics

• 2022-10-26 12:45:20 | Test driven development (TDD) with Python | Python>Lang>testing

• 2022-10-26 11:48:31 | timeseriesAI/tsai: Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai | Python>ML>time-series

• 2022-10-26 10:49:21 | VoltaML/voltaML: ⚡VoltaML is a lightweight library to convert and run your ML/DL deep learning models in high performance inference runtimes like TensorRT, TorchScript, ONNX and TVM. | MSCE>ML

• 2022-10-21 02:09:05 | ranaroussi/qtpylib: QTPyLib, Pythonic Algorithmic Trading | Finance>Quant

• 2022-10-19 20:37:44 | uninstall - How can you completely remove a package? - Ask Ubuntu | Tech>LinuxUbuntu

• 2022-10-19 20:34:10 | upgrade - Upgrading to Ubuntu 20.04 - Not enough free disk space - Super User | Tech>LinuxUbuntu

• 2022-10-19 20:32:19 | apt - Not enough free disk space when upgrading - Ask Ubuntu | Tech>LinuxUbuntu

• 2022-10-19 16:44:44 | How to Upgrade Ubuntu 20.04 to Ubuntu 22.04 - JumpCloud | Tech>LinuxUbuntu

• 2022-10-19 10:38:21 | aiart.dev - Creating AI Music Videos with Stable Diffusion | Python>AV>video-movies

• 2022-10-19 10:37:27 | SuperKogito/spafe: Simplified Python Audio Features Extraction | Python>AV>audio-music

• 2022-10-19 00:35:31 | Python 201: A multiprocessing tutorial - Mouse Vs Python | Python>Lang>multitasking

• 2022-10-17 11:08:30 | ML notes | MSCE>ML

• 2022-10-13 16:46:49 | How to Deploy Diffusion Models | Python>ML>neural-deep

• 2022-10-12 12:02:32 | Google Finance | Finance

• 2022-10-11 16:08:30 | bloomberg/memray: Memray is a memory profiler for Python | Python>Lang>tutorials-resources

• 2022-10-10 07:58:31 | Forecasting: theory and practice | MSCE>ML

• 2022-10-08 23:59:27 | All The Ways To Introspect Python Objects at Runtime | Python>Lang>tutorials-resources

• 2022-10-08 20:30:06 | Design Patterns in Machine Learning Code and Systems | Python>Lang>tutorials-resources

• 2022-10-08 12:37:37 | How diffusion models work: the math from scratch | AI Summer | MSCE>ML

• 2022-10-08 12:17:34 | The Illustrated Stable Diffusion – Jay Alammar – Visualizing machine learning one concept at a time. | MSCE>ML

• 2022-10-05 08:17:24 | ivopetiz/algotrading: Algorithmic trading framework for cryptocurrencies. | Finance>Quant

• 2022-10-02 12:30:25 | Course 2022: Full Stack Deep Learning | MSCE>ML

• 2022-10-02 12:01:53 | Interpretable Machine Learning | MSCE>ML

• 2022-10-02 10:06:31 | Built-in Functions in Python | Python>Lang>tutorials-resources

• 2022-09-30 07:01:05 | orchest/orchest: Build data pipelines, the easy way 🛠️ | Python>ML>train-eval-explain-deploy

• 2022-09-29 22:28:01 | The Definitive Guide to Graph Problems | Career>InterviewPrep

• 2022-09-27 08:51:56 | blankly-finance/blankly: 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. | Finance>Quant

• 2022-09-26 19:56:48 | robcarver17/pysystemtrade: Systematic Trading in python | Finance>Quant

• 2022-09-26 10:02:51 | ido90/Optimized-Kalman-Filter: Get an optimized Kalman Filter from data of system-states and observations. | Python>ML>time-series

• 2022-09-24 11:27:22 | unit8co/darts: A python library for easy manipulation and forecasting of time series. | Python>ML>time-series

• 2022-09-23 06:27:16 | Introduction to Multilevel Modelling | MSCE>Stat

• 2022-09-22 06:25:24 | fernandodelacalle/adv-financial-ml-marcos-exercises: Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado | Finance>Quant

• 2022-09-21 21:26:02 | 10+ Most Popular Coding Challenges Websites YOU Must be using!!! - DEV Community 👩‍💻👨‍💻 | Career>InterviewPrep

• 2022-09-21 09:59:58 | What are Diffusion Models? | Lil'Log | MSCE>ML

• 2022-09-19 19:57:50 | Mircea-MMXXI/azapy: Financial Portfolio Optimization Algorithms | Finance>Quant

• 2022-09-17 15:18:29 | Memory Management in Python - Honeybadger Developer Blog | Python>Lang>tutorials-resources

• 2022-09-15 08:03:55 | yabdellah/Finance: Study resources for quantitative finance | Finance>Quant

• 2022-09-13 11:46:21 | CS 11-711: Advanced NLP | MSCE>ML

• 2022-09-12 20:08:39 | erdewit/HiFiScan: Optimize the audio quality of loudspeakers | Python>AV>audio-music

• 2022-09-12 20:02:40 | Requiring Pull Requests and Reviews in Your Git Workflow | Elite Ionic | Tech>VersionControl

• 2022-09-10 22:18:51 | Visual TK, Visual Python Tkinter GUI Creator | Python>Lang>gui-dev

• 2022-09-05 17:21:51 | tensorush/Awesome-Maths-Learning: Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets. | MSCE>Math

• 2022-09-05 12:13:43 | An Introduction to Just Enough Cython to be Useful | Peter Baumgartner | Python>Lang>interop

• 2022-09-01 22:00:21 | The Data Science Interview Book | Career>InterviewPrep

• 2022-09-01 21:58:34 | A Short Chronology Of Deep Learning For Tabular Data | Python>ML>neural-deep

• 2022-09-01 21:14:23 | Multiprocessing Pool in Python: The Complete Guide | Python>Lang>multitasking

• 2022-09-01 18:21:40 | High-level tools to simplify visualization in Python — HoloViz 0.15.1 documentation | Python>Vis

• 2022-09-01 18:19:56 | ibis-project/ibis: Expressive analytics in Python at any scale. | Python>ML>tools-pkgs-exercises

• 2022-08-28 09:38:35 | What is the bias variance tradeoff? | R-bloggers | MSCE>ML

• 2022-08-28 09:38:16 | How to handle Imbalanced Data? | R-bloggers | MSCE>ML

• 2022-08-26 14:17:38 | Understanding async Python for the web | Python>Lang>tutorials-resources

• 2022-08-24 23:06:59 | Python F-Strings Number Formatting Cheat Sheet by BrianAllan - Download free from Cheatography - Cheatography.com: Cheat Sheets For Every Occasion | Python>Lang>tutorials-resources

• 2022-08-24 23:06:07 | prabhupant/python-ds: No non-sense and no BS repo for how data structure code should be in Python - simple and elegant. | Career>InterviewPrep

• 2022-08-24 20:26:39 | google-research/python-graphs: A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks. | Python>ML>trees-graphs

• 2022-08-24 10:49:00 | driscollis/pytips: Python Tips contains code snippets that will help you learn Python | Python>Lang>tutorials-resources

• 2022-08-19 19:46:53 | A Beginner's Guide to Competitive Coding - DEV Community | Career>InterviewPrep

• 2022-08-19 18:14:02 | The Magic of Matplotlib Stylesheets | Python>Vis

• 2022-08-13 18:24:36 | Free Mathematics Books | MSCE>Math

• 2022-08-11 20:17:14 | Choose the Right Python Concurrency API | Python>Lang>multitasking

• 2022-08-10 14:53:48 | Active Learning: Strategies, Tools, and Real-World Use Cases - neptune.ai | MSCE>ML

• 2022-08-09 21:09:30 | MLU-Explain | MSCE>ML

• 2022-08-07 14:17:03 | mosaicml/composer: Train neural networks up to 7x faster | Python>ML>neural-deep

• 2022-08-06 07:46:45 | Transformers in computer vision: ViT architectures, tips, tricks and improvements | AI Summer | MSCE>ML

• 2022-08-05 08:31:07 | JJinuxLand: Python: My Favorite Python Tricks for LeetCode Questions | Career>InterviewPrep

• 2022-08-01 08:37:32 | seungeunrho/minimalRL: Implementations of basic RL algorithms with minimal lines of codes! (pytorch based) | Python>ML>misc-topics

• 2022-08-01 03:04:33 | Lecture Notes on Neural Information Retrieval | MSCE>ML

• 2022-07-31 10:34:07 | Book Review: Convertible Securities | CFA Institute Enterprising Investor | Finance>FixedIncome

• 2022-07-30 10:30:47 | 12 Most Challenging Data Science Interview Questions - KDnuggets | Career>InterviewPrep

• 2022-07-30 08:28:27 | https://probml.github.io/pml-book/book2.html | MSCE>ML

• 2022-07-29 10:19:37 | killiansheriff/LovelyPlots: Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator. | Python>Vis

• 2022-07-28 21:13:14 | How to create a Python package in 2022 | Mathspp | Python>Lang>packag-docu-distrib

• 2022-07-28 19:40:06 | Modeling Short Time Series with Prior Knowledge in PyMC - Dr. Juan Camilo Orduz | Python>ML>time-series

• 2022-07-27 02:17:31 | jonkrohn/ML-foundations: Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science | MSCE>ML

• 2022-07-27 02:13:41 | wq2012/awesome-diarization: A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources. | Python>AV>audio-music

• 2022-07-27 02:11:27 | uber/causalml: Uplift modeling and causal inference with machine learning algorithms | Python>ML>misc-topics

• 2022-07-26 18:04:28 | GitHub - srush/Tensor-Puzzles: Solve puzzles. Improve your pytorch. | MSCE>ML

• 2022-07-26 18:03:21 | Practical Deep Learning for Coders 2022 · fast.ai | MSCE>ML

• 2022-07-24 20:00:36 | oracle/Skater: Python Library for Model Interpretation/Explanations | Python>ML>train-eval-explain-deploy

• 2022-07-24 11:35:08 | b7leung/MLE-Flashcards: 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science. | MSCE>ML

• 2022-07-23 14:51:22 | Introduction to Transformers | MSCE>ML

• 2022-07-21 08:23:15 | dformoso/machine-learning-mindmap: A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning. | MSCE>ML

• 2022-07-21 08:22:06 | MaxBenChrist/awesome_time_series_in_python: This curated list contains python packages for time series analysis | Python>ML>time-series

• 2022-07-20 12:20:24 | Tidy Finance with R | Finance>Quant

• 2022-07-20 12:19:38 | Interview Query | Ace your data science interview | Career>InterviewPrep

• 2022-07-18 18:58:02 | ShuaiW/data-science-question-answer: A repo for data science related questions and answers | Career>InterviewPrep

• 2022-07-18 10:01:02 | Measure theory in probability. Probability is not simple after all. | by Xichu Zhang | Towards Data Science | MSCE>Math

• 2022-07-18 10:00:38 | A guide to the Lebesgue measure and integration | by Xichu Zhang | Towards Data Science | MSCE>Math

• 2022-07-14 21:41:58 | Parallel Processing Large File in Python - KDnuggets | Python>Lang>multitasking

• 2022-07-13 11:57:09 | feast-dev/feast: Feature Store for Machine Learning | Python>ML>feat-engg-select

• 2022-07-13 11:54:44 | Getting Started with Sentiment Analysis on Twitter | Python>ML>nlp-llm

• 2022-07-12 21:22:02 | mtdvio/every-programmer-should-know: A collection of (mostly) technical things every software developer should know about | Career>InterviewPrep

• 2022-07-08 07:45:51 | An Introduction to Stochastic Processes | by Xichu Zhang | Jun, 2022 | Towards Data Science | MSCE>Math

• 2022-07-06 14:34:01 | How to Evaluate Clustering Models in Python | by Abhay Parashar | Jun, 2022 | Heartbeat | Python>ML>clustering

• 2022-07-05 22:37:51 | deeptime-ml/deeptime: Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation | Python>ML>time-series

• 2022-07-05 20:17:12 | 10 Python Image Processing Tools | Built In | Python>Lang>applications

• 2022-07-05 20:14:26 | Procedural music composition with arvo | Python>AV>audio-music

• 2022-07-05 14:52:57 | How to Python Logging 🐍🌴 | Python>Lang>tutorials-resources

• 2022-07-03 12:42:02 | viraptor/reverse-interview: Questions to ask the company during your interview | Career>InterviewPrep

• 2022-07-01 11:49:54 | Text Embeddings Visually Explained | MSCE>ML

• 2022-07-01 09:58:33 | salesforce/OmniXAI: OmniXAI: A Library for eXplainable AI | Python>ML>train-eval-explain-deploy

• 2022-07-01 08:17:38 | michaelgutmann/ml-pen-and-paper-exercises: Pen and paper exercises in machine learning | MSCE>ML

• 2022-07-01 08:15:54 | rougier/numpy-100: 100 numpy exercises (with solutions) | Career>InterviewPrep

• 2022-06-30 18:27:32 | Multiprocessing in Python: The Complete Guide | Python>Lang>multitasking

• 2022-06-30 01:35:30 | ForeignGods/Sorting-Algorithms-Blender: Sorting algorithms visualized using the Blender Python API. | MSCE>CS

• 2022-06-29 09:57:12 | The subprocess Module: Wrapping Programs With Python – Real Python | Python>Lang>tutorials-resources

• 2022-06-29 09:39:53 | The Complete Collection of Data Science Interviews – Part 2 - KDnuggets | Career>InterviewPrep

• 2022-06-27 10:57:42 | Explain Git with D3 | Tech>VersionControl

• 2022-06-27 09:55:02 | jinhangjiang/morethansentiments: Python package to calculate Boilerplate and many other text quantified features | Python>ML>nlp-llm

• 2022-06-25 10:14:23 | clementchadebec/benchmark_VAE: Unifying Generative Autoencoder implementations in Python | Python>ML>neural-deep

• 2022-06-24 16:42:04 | How to create a dashboard in Python with Jupyter Notebook? | MLJAR | Python>Web>apps-dashboards

• 2022-06-24 09:10:01 | mooscaliaproject/pymoode: A Python framework for Differential Evolution using pymoo. | Python>ML>optimization

• 2022-06-23 23:58:53 | Web Scraping with Python: from Fundamentals to Practice | Scrape-It.Cloud | Python>Web>web-scrape

• 2022-06-22 23:44:17 | Effective Python Testing With Pytest – Real Python | Python>Lang>testing

• 2022-06-22 23:11:52 | Python logging: do’s and don’ts — palkeo | Python>Lang>debug-log-except

• 2022-06-22 08:51:30 | Python Design Patterns - Carlos Grande | Python>Lang>tutorials-resources

• 2022-06-22 08:50:38 | The Complete Collection of Data Science Interviews – Part 1 - KDnuggets | Career>InterviewPrep

• 2022-06-22 08:49:03 | Algorithms & Data Structures | Super Study Guide | MSCE>CS

• 2022-06-19 19:28:08 | dair-ai/MLOPs-Primer: A collection of resources to learn about MLOPs. | Python>ML>misc-topics

• 2022-06-19 10:29:17 | First Steps: Road to the Top, Part 1 | Kaggle | Python>ML>misc-topics

• 2022-06-19 10:28:39 | fastkaggle | Python>ML>misc-topics

• 2022-06-17 12:26:04 | SelfExplainML/PiML-Toolbox: PiML (Python Interpretable Machine Learning) toolbox for model development and validation | Python>ML>train-eval-explain-deploy

• 2022-06-17 08:47:14 | SIAM | Financial Mathematics and Engineering | MSCE>Math

• 2022-06-17 08:36:59 | SIAM | Home | MSCE>Math

• 2022-06-16 08:25:08 | PyWhy | Python>ML>misc-topics

• 2022-06-11 14:32:59 | 7 Python Libraries For Manipulating Audio That Data Scientists Use | Python>AV>audio-music

• 2022-06-09 16:27:08 | Build dashboard in Python with automatic updates and email notifications | MLJAR | Python>Web>apps-dashboards

• 2022-06-09 12:21:10 | GitHub Skills | Tech>VersionControl

• 2022-06-09 12:20:15 | A beginner’s guide to CI/CD and automation on GitHub | The GitHub Blog | Tech>VersionControl

• 2022-06-08 16:40:57 | Algorithmic concepts | Super Study Guide | Career>InterviewPrep

• 2022-06-08 06:09:48 | A Beginner’s Guide to Q Learning - KDnuggets | MSCE>ML

• 2022-06-08 06:09:20 | 21 Cheat Sheets for Data Science Interviews - KDnuggets | Career>InterviewPrep

• 2022-06-04 13:43:26 | Options Straddles vs. Strangles: The Basics of Volati...- Ticker Tape | Finance>Options

• 2022-06-04 12:54:55 | dpressel/mint: MinT: Minimal Transformer Library and Tutorials | MSCE>ML

• 2022-06-02 22:53:41 | py-why/dowhy: DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks. | Python>ML>misc-topics

• 2022-06-02 08:02:07 | Introduction to Computational Finance and Financial Econometrics with R | Finance>Quant

• 2022-05-29 15:07:38 | pybind/pybind11: Seamless operability between C++11 and Python | Python>Lang>interop

• 2022-05-28 10:32:24 | The Python GIL: Past, Present, and Future | Python>Lang>multitasking

• 2022-05-28 01:37:40 | je-suis-tm/quant-trading: Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD | Finance>Quant

• 2022-05-27 09:48:24 | Python Standard Library changes in recent years | Python>Lang>tutorials-resources

• 2022-05-27 09:45:22 | Bytepawn - Marton Trencseni – Useful Python decorators for Data Scientists | Python>Lang>tutorials-resources

• 2022-05-26 20:04:38 | jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources | MSCE>ML

• 2022-05-24 22:53:51 | NannyML/nannyml: Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CBPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance. | Python>ML>train-eval-explain-deploy

• 2022-05-22 15:59:24 | ossu/math: 🧮 Path to a free self-taught education in Mathematics! | MSCE>Math

• 2022-05-21 13:09:44 | dair-ai/Mathematics-for-ML: 🧮 A collection of resources to learn mathematics for machine learning | MSCE>ML

• 2022-05-21 10:12:13 | Mathematical Logic through Python | MSCE>Math

• 2022-05-21 10:04:58 | Programming Guitar Music | Timur Iskhakov | Tech>Go

• 2022-05-21 09:56:02 | Profiling Python Code | Python>Lang>tutorials-resources

• 2022-05-21 09:42:56 | Supervised Clustering: How to Use SHAP Values for Better Cluster Analysis | Python>ML>clustering

• 2022-05-21 09:38:54 | Python decorator patterns | Python>Lang>tutorials-resources

• 2022-05-20 09:37:29 | How Often Should We Rebalance Equity Factor Portfolios? - QuantPedia | Finance>Factors

• 2022-05-19 05:22:19 | Pynance_plus_Workshops/Module 2 - Financial Engineering at main · arturoaguilarkn/Pynance_plus_Workshops | Finance>Quant

• 2022-05-19 05:19:57 | Python for Data Analysis, 3E | Python>Lang>tutorials-resources

• 2022-05-17 07:25:03 | rzashakeri/beautify-github-profile: This repository helps you to have a more beautiful and attractive github profile, and you can access a set of tools and guides for beautifying your github profile. 🚩 | Tech>VersionControl

• 2022-05-15 15:20:50 | Backtrader: What it is, How to Install, Strategies, Trading and More | Finance>Quant

• 2022-05-15 14:55:23 | Machine Learning Datasets | Papers With Code | Data>ml-datascience

• 2022-05-15 14:52:41 | Yellowbrick: Machine Learning Visualization — Yellowbrick v1.4 documentation | Python>Vis

• 2022-05-15 12:47:25 | josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. | MSCE>ML

• 2022-05-14 09:40:59 | huawei-noah/HEBO: Bayesian optimisation library developped by Huawei Noah's Ark Library | Python>ML>optimization

• 2022-05-14 08:56:52 | luckytoilet/projecteuler-solutions: Numerical answers to all 700+ Project Euler problems | Career>InterviewPrep

• 2022-05-14 07:22:42 | 5 Must-Do Error Analysis Before You Put Your Model in Production - neptune.ai | MSCE>ML

• 2022-05-14 07:18:45 | C++ advanced topics for experienced C++ devs - Incredibuild | Tech>C++

• 2022-05-12 19:23:32 | NannyML/nannyml: Detecting silent model failure. NannyML estimates performance with an algorithm called Confidence-based Performance estimation (CPE), developed by core contributors. It is the only open-source algorithm capable of fully capturing the impact of data drift on performance. | Python>ML>train-eval-explain-deploy

• 2022-05-07 17:37:49 | connorferster/handcalcs: Python library for converting Python calculations into rendered latex. | Python>Lang>reporting

• 2022-05-07 11:49:54 | Nyandwi/machine_learning_complete: A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques. | MSCE>ML

• 2022-05-06 07:16:10 | Walk with fastai | walkwithfastai | MSCE>ML

• 2022-05-03 07:44:53 | Bayes Rules! An Introduction to Applied Bayesian Modeling | MSCE>Stat

• 2022-04-30 23:43:24 | p-ranav/awesome-hpp: A curated list of awesome header-only C++ libraries | Tech>C++

• 2022-04-30 09:28:17 | Duration & Convexity - Fixed Income Bond Basics | Raymond James | Finance>FixedIncome

• 2022-04-30 08:40:48 | Leveraging U.S. Treasury Bonds Using the Futures Market | Finance>Futures

• 2022-04-29 19:32:27 | The Idea Farm by Meb Faber | Finance>Research

• 2022-04-29 15:31:21 | C++ for Python Programmers | Tech>C++

• 2022-04-28 20:23:13 | sebastianruder/NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks. | MSCE>ML

• 2022-04-27 09:41:11 | The Dataverse Project - Dataverse.org | Data

• 2022-04-27 07:15:50 | sophiamyang/hvplot_interactive: easiest way to create an interactive dashboard in Python | Python>Vis

• 2022-04-26 08:01:54 | rmcelreath/stat_rethinking_2022: Statistical Rethinking course winter 2022 | MSCE>Stat

• 2022-04-26 07:59:18 | The Movies Dataset | Kaggle | Data>ml-datascience

• 2022-04-26 07:57:28 | mingrammer/diagrams: Diagram as Code for prototyping cloud system architectures | Python>Vis

• 2022-04-24 16:53:42 | Interest rates and equity markets | Finance>General

• 2022-04-23 13:17:51 | Schemdraw documentation — SchemDraw 0.14 documentation | Python>Vis

• 2022-04-23 11:09:55 | Do dividend-paying stocks hedge against inflation? | The Evidence-Based Investor | Finance>General

• 2022-04-23 10:04:13 | Advances in Understanding, Improving, and Applying Contrastive Learning · Hazy Research | MSCE>ML

• 2022-04-23 09:55:33 | 10 SQL Queries You Should Know as a Data Scientist | SelectFrom | Tech>Databases

• 2022-04-23 09:17:19 | Efficient Deep Learning Book | Companion webpage to the book “Efficient Deep Learning”. | MSCE>ML

• 2022-04-23 00:38:37 | Awesome Bayes | MSCE>Stat

• 2022-04-22 23:10:10 | Learning Materials: computational social science | MSCE>ML

• 2022-04-20 14:36:49 | Time Series Projects: Tools, Packages, and Libraries That Can Help - neptune.ai | MSCE>ML

• 2022-04-19 19:28:57 | Improving Your Statistical Inferences | MSCE>Stat

• 2022-04-17 10:05:09 | Cornell Movie-Dialogs Corpus | Data>movies

• 2022-04-17 10:04:58 | james e. cutting : department of psychology : cornell university | Data>movies

• 2022-04-17 10:04:44 | pncnmnp/TIMDB: The Indian Movie Database - An initiative to curate a well structured database for Indian movies | Data>movies

• 2022-04-17 10:04:17 | Our Data | FiveThirtyEight | Data

• 2022-04-17 08:13:53 | linkedin/feathr: Feathr – An Enterprise-Grade, High Performance Feature Store | Python>ML>tools-pkgs-exercises

• 2022-04-16 09:01:45 | Welcome - Backtrader | Finance>Tools>algo-trading

• 2022-04-16 08:55:07 | stefan-jansen/zipline-reloaded: Zipline, a Pythonic Algorithmic Trading Library | Finance>Tools>algo-trading

• 2022-04-16 08:54:30 | QuantEcon | Finance>Courses

• 2022-04-16 08:50:33 | quantiacs/toolbox: backtester for developing and testing trading algorithms. | Finance>Tools>algo-trading

• 2022-04-16 08:48:16 | ESG Factors and Traditional Factors - | Finance>ESG

• 2022-04-16 08:29:27 | ETF Education Center | ETF.com | Finance>ETFs

• 2022-04-15 20:41:58 | Courses in reinforcement learning and sequential decision problems – Castle Labs | MSCE>ML

• 2022-04-14 18:39:20 | Threading in Python: The Complete Guide | Python>Lang>multitasking

• 2022-04-14 11:00:17 | Free Algo Trading and Market Analysis Tool | Zorro Project | Finance>Tools>algo-trading

• 2022-04-13 14:32:59 | dair-ai/ML-Notebooks: A series of code examples for all sorts of machine learning tasks and applications. | Python>ML>many-methods

• 2022-04-13 14:31:28 | Quarto: dynamic reproducible documents | Python>Lang>reporting

• 2022-04-13 13:54:11 | Futures Continuation: What it is, Challenges, Methods and More | Finance>Futures

• 2022-04-08 15:36:09 | OpenBB-finance/OpenBBTerminal: Investment Research for Everyone, Anywhere. | Finance>Tools>algo-trading

• 2022-04-07 21:53:50 | Exploring Neural Networks Visually in the Browser - Casey Primozic's Homepage | MSCE>ML

• 2022-04-07 18:12:13 | Head-first kubernetes | Tech>Containers

• 2022-04-07 18:10:51 | blankly-finance/blankly: 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package. | Finance>Tools>algo-trading

• 2022-04-07 17:57:37 | pygod-team/pygod: A Python Library for Graph Outlier Detection (Anomaly Detection) | Python>ML>trees-graphs

• 2022-04-06 12:17:48 | Equity 101 Course | Finance>Courses

• 2022-04-06 03:05:16 | OpenML | Data>ml-datascience

• 2022-04-04 18:13:28 | Tidy Finance with R | Finance>Quant

• 2022-04-03 23:06:16 | UCI Machine Learning Repository | Data>ml-datascience

• 2022-04-03 15:57:12 | High-Dimensional Data Analysis by John Wright and Yi Ma | MSCE>ML

• 2022-04-02 11:30:45 | Mathematical Association of America | MSCE>Math

• 2022-04-02 11:30:32 | American Mathematical Society :: Homepage | MSCE>Math

• 2022-04-02 11:30:15 | American Statistical Association | MSCE>Math

• 2022-04-02 11:29:25 | Institute of Mathematical Statistics | Fostering the development and dissemination of the theory and applications of statistics and probability | MSCE>Math

• 2022-04-01 12:31:27 | One machine learning question every day - bnomial | MSCE>ML

• 2022-03-20 09:08:07 | [Book] Reinforcement Learning and Stochastic Optimization – Castle Labs | MSCE>ML

• 2022-03-20 09:00:55 | [Book] Sequential Decision Analytics and Modeling – Castle Labs | MSCE>ML

• 2022-03-19 09:39:53 | [2203.08890] The Mathematics of Artificial Intelligence | MSCE>ML

• 2022-03-19 09:31:57 | Keras Code examples | MSCE>ML

• 2022-03-19 09:31:12 | dair-ai/ML-Course-Notes: 🎓 Sharing course notes on all topics related to machine learning, NLP, and AI | MSCE>ML

• 2022-03-16 20:17:16 | Causality for Machine Learning | MSCE>ML

• 2022-03-13 17:08:48 | C++ Benchmarking Tips for Beginners by Unum | Tech>C++

• 2022-03-12 23:54:54 | Python SpeedSheet | Python>Lang>tutorials-resources

• 2022-03-12 23:29:51 | nccr-itmo/FEDOT: Automated modeling and machine learning framework FEDOT | Python>ML>ensemble-methods

• 2022-03-09 06:25:07 | Optimizing Memory Usage in Python Applications | Python>Lang>tutorials-resources

• 2022-03-09 06:15:28 | Handbook of Graphs and Networks in People Analytics | Python>Vis

• 2022-03-09 06:12:18 | man-group/notebooker: Productionise & schedule your Jupyter Notebooks as easily as you wrote them. | Python>Lang>reporting

• 2022-03-08 07:16:56 | TUM Data Library | Data>finance>factors

• 2022-03-08 06:48:55 | Global Factor Premia | Finance>Tools>factors

• 2022-03-07 02:15:30 | Understanding Decorators in Python - Bas codes | Python>Lang>tutorials-resources

• 2022-03-06 13:16:56 | Modern C++ Course for CV (2020) – StachnissLab | Tech>C++

• 2022-03-05 01:39:24 | Working with Audio in Python | Python>AV>audio-music

• 2022-03-04 11:30:35 | flujoo/ch0p1n: Python Package for Automatic Musical Composition | Python>AV>audio-music

• 2022-03-01 21:48:27 | Learning with not Enough Data Part 2: Active Learning | Lil'Log | Python>ML>misc-topics

• 2022-03-01 21:47:44 | Nixtla/statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models. | Python>ML>time-series

• 2022-03-01 18:54:14 | 100 Best Finance Blogs and Their Best Content (2021) | Finance>General

• 2022-03-01 15:29:03 | Practical Python Projects | Python>Lang>applications

• 2022-03-01 15:28:41 | NumPy Examples: Forty-Five Practice Questions To Make You an Expert | Python>ML>tools-pkgs-exercises

• 2022-02-26 09:25:00 | MSCI index data search | Data>finance

• 2022-02-26 09:22:08 | Federal Reserve Economic Data | FRED | St. Louis Fed | Data>finance>economic

• 2022-02-26 09:19:53 | Kenneth R. French - Data Library | Data>finance>factors

• 2022-02-26 09:19:07 | Online Data - Robert Shiller | Data>finance

• 2022-02-26 09:18:10 | Historical returns on stocks, bonds and bills: 1928 onwards | Data>finance

• 2022-02-26 09:10:39 | Active Share | Finance>Tools>portfolio

• 2022-02-26 08:52:32 | Backtest: for European index investors | Finance>Tools>portfolio

• 2022-02-26 01:23:46 | Barchart.com | Finance>MarketsLive

• 2022-02-25 09:02:43 | Python Project Setup – Virtual Environments and Package Management - Bas codes | Python>Lang>packag-docu-distrib

• 2022-02-25 09:00:24 | How To Classify Text With Python, Transformers & scikit-learn | Python>ML>nlp-llm

• 2022-02-25 08:58:43 | openvinotoolkit/anomalib: An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference. | Python>ML>misc-topics

• 2022-02-24 12:05:51 | Loomis Sayles Blog: LandScape | Finance>Research

• 2022-02-24 11:44:40 | The Capital Spectator | Finance>Research

• 2022-02-23 10:53:38 | Markov Processes International | Finance>Research

• 2022-02-23 09:55:57 | Monash Forecasting Repository | MSCE>ML

• 2022-02-22 10:09:04 | Deep Learning on Graphs | MSCE>ML

• 2022-02-20 19:42:57 | Yahoo Finance | Finance

• 2022-02-19 11:39:52 | Portfolios – Portfolio Charts | Finance>Tools>portfolio

• 2022-02-18 11:54:17 | 9 Assets for Protection Against Inflation and the ETFs that Track Them | Finance>General

• 2022-02-17 12:35:01 | investpy | Finance>Tools>algo-trading

• 2022-02-17 11:56:28 | Investing.com | Finance>MarketsLive

• 2022-02-17 10:59:33 | nurakawa/localized-classmap: A visualization tool that explains the results of classification problems. Implemented in R and python | Python>ML>train-eval-explain-deploy

• 2022-02-17 08:36:53 | New York Times - Business | Finance>MarketsLive

• 2022-02-16 01:10:32 | Merrill wealth management Insights | Finance>Research>Banks

• 2022-02-16 01:08:52 | Insights | UBS wealth management USA | Finance>Research>Banks

• 2022-02-15 22:04:48 | Portfolio Analysis | Portfolio Tools | J.P. Morgan Asset Management | Finance>Tools>portfolio

• 2022-02-15 07:47:33 | mermaid - Markdownish syntax for generating flowcharts, sequence diagrams, class diagrams, gantt charts and git graphs. | Python>Vis

• 2022-02-13 22:27:04 | FTSE Russell | Blogs | Finance>Research

• 2022-02-13 22:26:22 | MSCI Research and Insights | Finance>Research

• 2022-02-11 18:08:01 | csinva/imodels: Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible). | Python>ML>misc-topics

• 2022-02-11 10:48:01 | Think DSP | MSCE>Engg

• 2022-02-10 19:08:24 | Introduction to the A* Algorithm | MSCE>CS

• 2022-02-09 22:57:46 | 12 Best Stock Market APIs to Build Financial Products | Data>finance

• 2022-02-09 14:57:19 | Rebellion Research | Finance>Research

• 2022-02-08 10:13:13 | Data Distribution Shifts and Monitoring | MSCE>ML

• 2022-02-08 01:02:41 | QuantConnect - A Complete Guide - AlgoTrading101 Blog | Finance>Quant

• 2022-02-08 00:56:25 | Vanilla Risk Parity | Python | Riskfolio-Lib | Medium | Finance>Quant

• 2022-02-07 19:41:52 | How to Create a Risk Parity Strategy in Python | Finance>Quant

• 2022-02-07 19:41:09 | Risk Parity/Risk Budgeting Portfolio in Python – The Quant MBA | Finance>Quant

• 2022-02-07 19:36:16 | riskparity.py 0.1 documentation | Finance>Quant

• 2022-02-07 19:25:08 | PanAgora: Research Archive | Finance>Research>AssetManagers

• 2022-02-07 17:29:14 | GSAM | All Insights | Finance>Research>Banks

• 2022-02-07 16:10:25 | https://abnormalreturns.com | Finance>General

• 2022-02-07 16:07:08 | Insights | J.P. Morgan Asset Management | Finance>Research>Banks

• 2022-02-07 16:03:17 | Ideas | Morgan Stanley | Finance>Research>Banks

• 2022-02-07 16:02:42 | Goldman Sachs | Insights | Finance>Research>Banks

• 2022-02-07 15:51:52 | Validea's Guru Investor Blog | Finance>Research

• 2022-02-05 10:06:20 | Bridgewater Associates | Research & Insights | Finance>Research>AssetManagers

• 2022-02-05 08:51:20 | nlp-with-transformers/notebooks: Jupyter notebooks for the Natural Language Processing with Transformers book | Python>ML>neural-deep

• 2022-02-04 19:37:56 | Natural Language Processing (NLP) for Semantic Search | Pinecone | MSCE>ML

• 2022-02-04 10:30:50 | ReSolve Asset Management: Research | Finance>Research>AssetManagers

• 2022-02-04 10:29:39 | Newfound Research Library | Finance>Research

• 2022-02-04 10:24:15 | AQR | Featured Thinking | Finance>Research>AssetManagers

• 2022-02-04 10:21:25 | Robeco | Insights | Finance>Research>AssetManagers

• 2022-02-04 10:20:09 | BlackRock | Insights | Finance>Research>AssetManagers

• 2022-02-04 10:18:18 | Man Group | Insights | Finance>Research>AssetManagers

• 2022-02-04 10:17:33 | Research | CAIA | Finance>Research

• 2022-02-04 10:09:52 | Factor Allocator™ – Optimal Asset Management | Finance>Tools>factors

• 2022-02-02 14:25:36 | Academic Insights on Investing | Finance>Research

• 2022-02-02 00:27:18 | Discrete Wavelet Transformation: Python | Python>ML>misc-topics

• 2022-02-02 00:25:29 | A Modern Introduction to Probabilistic Programming with PyMC | Python>ML>bayesian

• 2022-02-02 00:16:49 | Python Graph Gallery | Python>Vis

• 2022-02-02 00:00:06 | data2vec: self supervised representation learning | Python>ML>misc-topics

• 2022-02-01 01:27:59 | Calculating the Volatility Smile | Finance>Quant

• 2022-01-30 12:05:35 | ML and NLP Research Highlights of 2021 | MSCE>ML

• 2022-01-30 05:15:23 | Backtest ETF Portfolio - ETFreplay | Finance>Tools>portfolio

• 2022-01-29 09:34:41 | Guiding Design Principles | Python>Lang>tutorials-resources

• 2022-01-28 20:11:07 | vectorbt: back testing in python | Finance>Tools>algo-trading

• 2022-01-28 19:11:19 | Validea: Market Valuation - Valuation Relative to History Using PE Ratio, Price/Sales, Price/Book and Price/Cash Flow | Finance>Tools

• 2022-01-28 12:05:32 | The Best Free Investing Tools on the Web | Finance>Tools

• 2022-01-28 12:03:26 | My Favorite Free Investing Tools | Morningstar | Finance>Tools

• 2022-01-28 11:58:35 | FactorResearch Security Analysis | Finance>Tools>factors

• 2022-01-27 12:20:13 | Visual Factors - Alpha Architect | Finance>Tools>factors

• 2022-01-27 12:15:28 | Alpha Architect: blog | Finance>Research

• 2022-01-27 07:40:03 | QuantPedia Blog | Finance>Research

• 2022-01-26 04:16:38 | alexlenail/NN-SVG: Publication-ready NN-architecture schematics. | Python>Vis

• 2022-01-24 09:54:54 | kedro: A Python framework for creating reproducible, maintainable and modular data science code. | Python>ML>tools-pkgs-exercises

• 2022-01-23 17:44:00 | Ways I Use Testing as a Data Scientist | Peter Baumgartner | Python>ML>tools-pkgs-exercises

• 2022-01-23 16:15:05 | Shapley Values - A Gentle Introduction | H2O.ai | MSCE>ML

• 2022-01-23 09:16:39 | Validea ETF Factor Report - ETF Analysis Using Value, Quality, Momentum, and Low Volatility | Finance>Tools>factors

• 2022-01-23 09:16:14 | Validea: Factor Report | Finance>Tools>factors

• 2022-01-22 22:24:03 | CFA Institute Webinars | Finance>CFA

• 2022-01-22 08:17:37 | LintCode & LeetCode | Career>InterviewPrep

• 2022-01-21 22:23:49 | ThreadPoolExecutor in Python: The Complete Guide | Python>Lang>multitasking

• 2022-01-19 08:51:53 | Top Five SQL Window Functions You Should Know For Data Science Interviews - KDnuggets | Tech>Databases

• 2022-01-18 17:34:46 | Analyzing stock data near events with pandas - wrighters.io | Finance>Quant

• 2022-01-18 17:01:39 | Terality/terality-demo-notebooks: pandas at scale | Python>ML>tools-pkgs-exercises

• 2022-01-18 16:39:20 | Sentiment Analysis Using Python | Python>ML>nlp-llm

• 2022-01-18 09:44:38 | Machine learning for factor investing: Python | Finance>Quant

• 2022-01-16 21:11:23 | ContextLab/hypertools: A Python toolbox for gaining geometric insights into high-dimensional data | Python>Vis

• 2022-01-16 14:49:56 | paulozip/arauto: An open-source tool for quick Time Series Analysis and Forecasting | Python>ML>time-series

• 2022-01-16 14:32:31 | Techtonique/ahead_python: Univariate and multivariate time series forecasting. | Python>ML>time-series

• 2022-01-16 14:04:09 | Explainable ML — Alibi 0.6.2 documentation | MSCE>ML

• 2022-01-15 23:34:23 | Teknasyon-Teknoloji/pyfbad: An open-source outlier detection package by Getcontact Data Team | Python>ML>applications

• 2022-01-15 11:16:23 | PyStatMl — Statistics and Machine Learning in Python 0.5 documentation | Python>ML>tools-pkgs-exercises

• 2022-01-15 11:02:42 | 3 Tools to Track and Visualize the Execution of Your Python Code - KDnuggets | Python>Lang>tutorials-resources

• 2022-01-14 23:12:54 | Factor Investing in Sovereign Bond Markets | Finance>Factors

• 2022-01-13 21:52:16 | 20 Smaller yet Handy C++20 Features - C++ Stories | Tech>C++

• 2022-01-13 21:50:57 | Introduction to variational autoencoders | MSCE>ML

• 2022-01-13 20:18:02 | cyrilou242/mockseries: Easy and intuitive generation of synthetic timeseries for Python. | Python>ML>tools-pkgs-exercises

• 2022-01-13 20:16:00 | Ultimate Guide To Text Similarity With Python | Python>ML>nlp-llm

• 2022-01-13 20:14:43 | 70 Free Online Courses for Data Science to Advance Your Skills in 2022 | MSCE>ML

• 2022-01-13 09:17:43 | An Introduction to Autoencoders | MSCE>ML

• 2022-01-12 14:52:51 | captn3m0/pystitcher: pystitcher stitches your PDF files together, generating nice customizable bookmarks for you using a declarative markdown file as input | Python>Lang>interop

• 2022-01-12 14:52:01 | Neural Network From Scratch | Python>ML>neural-deep

• 2022-01-09 12:49:07 | [BookRepo] rasbt/machine-learning-book: Code Repository for Machine Learning with PyTorch and Scikit-Learn | MSCE>ML

• 2022-01-08 06:27:27 | Factor investing debates: Should you time your factor exposures? | Finance>Factors

• 2022-01-08 05:40:52 | Real-time machine learning: challenges and solutions | MSCE>ML

• 2022-01-06 11:19:18 | Profiling and Analyzing Performance of Python Programs | Python>Lang>tutorials-resources

• 2022-01-05 10:48:44 | Active Learning with AutoNLP and Prodigy | MSCE>ML

• 2022-01-05 10:38:24 | Music Transcription with Transformers - Colaboratory | Python>AV>audio-music

• 2022-01-05 01:31:44 | tinkoff-ai/etna: ETNA – Time-Series Library | Python>ML>time-series

• 2021-12-31 04:48:05 | C++ Best Practices | Tech>C++

• 2021-12-30 07:35:30 | Machine Learning videos: Sebastian Raschka | MSCE>ML

• 2021-12-25 12:19:51 | pytudes/Probability.ipynb | MSCE>Stat

• 2021-12-24 06:58:52 | Grokking LeetCode: A Smarter Way to Prepare for Coding Interviews | InterviewNoodle | InterviewNoodle | Career>InterviewPrep

• 2021-12-23 22:07:50 | Codeforces | Career>InterviewPrep

• 2021-12-23 22:02:42 | 9 C++ data structures you need to know for your coding interview - DEV Community | Career>InterviewPrep

• 2021-12-23 22:00:08 | data-science-lab-amsterdam/skippa: SciKIt-learn Pipeline in PAndas | Python>ML>tools-pkgs-exercises

• 2021-12-23 17:49:59 | galliaproject/gallia-core: A schema-aware Scala library for data transformation | Tech>SparkScala

• 2021-12-23 12:50:56 | Mining Financial Stock News Using SpaCy Matcher | Finance>Quant

• 2021-12-23 12:49:10 | jsvine/pdfplumber: Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables. | Python>Lang>interop

• 2021-12-23 08:06:35 | matplotlib/mplfinance: Financial Markets Data Visualization using Matplotlib | Python>Vis

• 2021-12-22 10:52:52 | Pycerno.ipynb : python translation of Picerno book | Finance>Quant

• 2021-12-22 00:43:40 | Bayesian Modeling and Computation in Python | Python>ML>bayesian

• 2021-12-21 16:01:21 | speechbrain/speechbrain: A PyTorch-based Speech Toolkit | Python>AV>audio-music

• 2021-12-21 16:00:46 | oegedijk/explainerdashboard: Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models. | Python>ML>train-eval-explain-deploy

• 2021-12-21 16:00:08 | microsoft/maro: Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems. | Python>ML>misc-topics

• 2021-12-21 01:14:22 | FACTOR PORTFOLIOS: TURNOVER ANALYSIS | Finance>Factors

• 2021-12-20 20:25:07 | Momentum is a self-fulfilling prophecy and therein lies its strength | Finance>Factors

• 2021-12-20 16:16:14 | Munich RE JFDS Fall21 Adaptive Seriational Risk | Finance>General

• 2021-12-19 10:37:43 | ᴍʟ & ǫᴜᴀɴᴛ ғɪɴᴀɴᴄᴇ | Finance>Quant

• 2021-12-19 10:32:58 | labml.ai Annotated PyTorch Paper Implementations | Python>ML>neural-deep

• 2021-12-18 09:37:57 | dair-ai/Transformers-Recipe: A quick recipe to learn all about Transformers | MSCE>ML

• 2021-12-16 18:49:47 | machow/siuba: Python library for using dplyr like syntax with pandas and SQL | Python>ML>tools-pkgs-exercises

• 2021-12-13 09:41:20 | zgana/fpp3-python-readalong: Python-centered read-along of Forecasting: Principles and Practice | Python>ML>time-series

• 2021-12-12 16:53:41 | EthicalML/awesome-artificial-intelligence-guidelines: This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond. | MSCE>ML

• 2021-12-12 16:38:39 | Machine-Learning-Tokyo/Interactive_Tools: Interactive Tools for Machine Learning, Deep Learning and Math | MSCE>ML

• 2021-12-12 08:37:44 | Graph Neural Networks for Novice Math Fanatics | MSCE>ML

• 2021-12-11 20:25:41 | Testing your Python Code with Hypothesis • Inspired Python | Python>Lang>testing

• 2021-12-11 19:37:09 | minitorch/minitorch: The full minitorch student suite. | Python>ML>neural-deep

• 2021-12-11 19:29:53 | Advanced NLP with spaCy · A free online course | Python>ML>nlp-llm

• 2021-12-11 17:27:07 | predict-idlab/plotly-resampler: Visualize large time-series data in plotly | Python>Vis

• 2021-12-11 17:26:13 | ourownstory/neural_prophet: NeuralProphet: A simple forecasting package | Python>ML>time-series

• 2021-12-11 17:24:55 | PyTorch Lightning for Dummies - A Tutorial and Overview | Python>ML>neural-deep

• 2021-12-11 17:23:59 | Create a Neural Network from Scratch in Python 3 - PythonAlgos | Python>ML>neural-deep

• 2021-12-11 11:24:18 | numpy-financial 1.0.0 — numpy-financial documentation | Finance>Quant

• 2021-12-11 11:19:50 | Pandas Tutor - visualize Python pandas code | Python>ML>tools-pkgs-exercises

• 2021-12-09 09:35:34 | deepset-ai/haystack: Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications. | Python>ML>applications

• 2021-12-05 17:33:54 | Einstein summation in deep learning | MSCE>ML

• 2021-12-05 01:07:43 | [Course] DeepCourse | MSCE>ML

• 2021-12-04 19:16:07 | Most Common SQL Mistakes on Data Science Interviews - KDnuggets | Career>InterviewPrep

• 2021-12-02 01:31:18 | pybaobabdt · Decision Tree visualization | Python>Vis

• 2021-12-02 01:29:29 | booknlp/booknlp: BookNLP, a natural language processing pipeline for books | Python>ML>nlp-llm

• 2021-12-01 09:02:51 | Keras Model Walkthrough · Luke Wood | Python>ML>neural-deep

• 2021-11-30 22:05:10 | Hack Audio - Learn Computer Programming and Audio Engineering | Python>AV>audio-music

• 2021-11-24 10:24:56 | facebookresearch/salina: a Lightweight library for sequential learning agents, including reinforcement learning | Python>ML>misc-topics

• 2021-11-22 23:22:18 | Transformers from Scratch | MSCE>ML

• 2021-11-18 19:45:10 | 25 Github Repositories Every Python Developer Should Know - KDnuggets | Python>Lang>tutorials-resources

• 2021-11-18 19:42:00 | The Ultimate Guide To Different Word Embedding Techniques In NLP - KDnuggets | MSCE>ML

• 2021-11-18 15:25:39 | A Tutorial on Sequential Machine Learning | MSCE>ML

• 2021-11-18 08:12:55 | What is torch.nn really? — PyTorch Tutorials 1.10.0+cu102 documentation | MSCE>ML

• 2021-11-17 15:28:49 | google-research/rliable: Open-source library for reliable evaluation on reinforcement learning and machine learning benchmarks. See NeurIPS 2021 oral for details. | Python>ML>misc-topics

• 2021-11-16 16:30:37 | Python-World/python-mini-projects: A collection of simple python mini projects to enhance your python skills | Python>Lang>applications

• 2021-11-16 16:27:56 | koaning/doubtlab: Doubt your data, find bad labels. | Python>ML>train-eval-explain-deploy

• 2021-11-15 09:46:52 | Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch. | Tech>Julia

• 2021-11-12 10:49:38 | 6 Usage Patterns for the ThreadPoolExecutor in Python | Python>Lang>multitasking

• 2021-11-12 10:47:38 | How to build, test and publish an open source Python library | Python>Lang>packag-docu-distrib

• 2021-11-10 09:49:24 | Imbalanced Classification Demystified | MSCE>ML

• 2021-11-09 14:11:16 | Explaining Machine Learning Models: A Non-Technical Guide to Interpreting SHAP Analyses | MSCE>ML

• 2021-11-07 23:03:00 | GitHub - AI4Finance-Foundation/FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 | Python>ML>misc-topics

• 2021-11-07 09:24:08 | Full Stack Deep Learning - Spring 2021 - Berkeley | MSCE>ML

• 2021-11-07 09:22:36 | The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation | BMC Genomics | Full Text | MSCE>ML

• 2021-11-04 21:32:00 | Muzic Alternatives and Reviews | Python>AV>audio-music

• 2021-11-04 18:51:46 | 99 Python Programs for Beginners - DEV Community | Career>InterviewPrep

• 2021-11-04 18:17:06 | C++ By Example Code Examples with Simple Explanations | Tech>C++

• 2021-11-04 11:50:35 | A Visual Git Reference | Tech>VersionControl

• 2021-11-02 20:05:13 | How to use PyTorch LSTMs for time series regression | Python>ML>time-series

• 2021-10-26 15:40:44 | Introduction to Probability for Data Science | MSCE>Stat

• 2021-10-21 23:37:07 | awesome-streamlit | Python>Web>apps-dashboards

• 2021-10-21 17:51:40 | A Gentle Introduction to MLOps | MSCE>ML

• 2021-10-21 17:38:29 | Kaggle Solutions | Python>ML>applications

• 2021-10-21 17:30:36 | Scala Exercises | Tech>SparkScala

• 2021-10-20 07:06:16 | Neural Networks from Scratch - an interactive guide | MSCE>ML

• 2021-10-20 07:05:43 | gittar/breathing-k-means: The "breathing k-means" algorithm with datasets and example notebooks | Python>ML>clustering

• 2021-10-16 14:40:45 | Clustering with Scikit-Learn in Python | Python>ML>clustering

• 2021-10-14 11:40:28 | Understanding all of Python, through its builtins | Python>Lang>tutorials-resources

• 2021-10-14 11:39:32 | Python 101 - How to Generate a PDF - Mouse Vs Python | Python>Lang>reporting

• 2021-10-14 11:37:41 | Bayesian Optimization Book | Copyright 2021 Roman Garnett, to be published by Cambridge University Press | MSCE>ML

• 2021-10-14 11:32:23 | The Second Wave (of Value Stocks) | Finance>Factors

• 2021-10-13 09:43:31 | thunlp/OpenPrompt: An Open-Source Toolkit for Prompt-Learning. | Python>ML>misc-topics

• 2021-10-11 15:24:34 | Anyscale - Parallelizing Python Code | Python>Lang>multitasking

• 2021-10-11 15:24:00 | An Introduction To Recurrent Neural Networks And The Math That Powers Them | MSCE>ML

• 2021-10-08 07:36:24 | End-to-end tinyML audio classification with the Raspberry Pi RP2040 — The TensorFlow Blog | Python>AV>audio-music

• 2021-10-06 11:41:40 | [2108.12290] Music Composition with Deep Learning: A Review | Python>AV>audio-music

• 2021-10-05 17:48:11 | Create a Stunning PDF Flyer in Python with borb | Python>Lang>reporting

• 2021-10-05 17:42:37 | Analyzing Time Series Data | MSCE>ML

• 2021-10-05 17:40:30 | [Course] Yann LeCun’s Deep Learning Course at CDS – NYU Center for Data Science | MSCE>ML

• 2021-10-05 15:23:59 | Background — alibi-detect 0.7.3dev documentation | MSCE>ML

• 2021-10-01 09:43:04 | Scala isn't Hard: How to Master Scala Step by Step - Developer’s kit | Tech>SparkScala

• 2021-09-30 20:42:20 | C++ Smart Pointers Reference Card - C++ Stories | Tech>C++

• 2021-09-30 14:54:19 | microsoft/muzic: Muzic: Music Understanding and Generation with Artificial Intelligence | Python>AV>audio-music

• 2021-09-29 12:10:22 | GIL and its effects on Python multithreading | Python>Lang>multitasking

• 2021-09-29 12:08:51 | Spark ML hyperparameter tuning | Tech>SparkScala

• 2021-09-28 16:02:07 | salesforce/Merlion: Merlion: A Machine Learning Framework for Time Series Intelligence | Python>ML>time-series

• 2021-09-26 23:10:20 | Quant Interview Questions Preparation Free Course | Career>InterviewPrep

• 2021-09-23 17:49:37 | Scala Vs Python Syntax Cheat Sheet | Tech>SparkScala

• 2021-09-23 06:48:37 | Easy Machine Learning for On-Device Audio — The TensorFlow Blog | Python>AV>audio-music

• 2021-09-22 08:56:56 | The Machine & Deep Learning Compendium - Machine & Deep Learning Compendium | MSCE>ML

• 2021-09-17 08:25:02 | heartexlabs/awesome-data-labeling: A curated list of awesome data labeling tools | MSCE>ML

• 2021-09-16 00:33:28 | Parallelizing Python Code | Python>Lang>multitasking

• 2021-09-16 00:29:15 | Gaussian processes (1/3) - From scratch | MSCE>Stat

• 2021-09-16 00:18:48 | Futures Trading Explained | Finance>Futures

• 2021-09-12 20:07:32 | An Attempt at Demystifying Graph Deep Learning - Essays on Data Science | MSCE>ML

• 2021-09-12 20:06:53 | [Book] Machine Learning - A First Course for Engineers and Scientists | sml-book-page | MSCE>ML

• 2021-09-11 23:01:07 | A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning | MSCE>ML

• 2021-09-11 22:56:08 | Introduction to the Infamous Python GIL - Granulate | Python>Lang>multitasking

• 2021-09-11 13:07:13 | AkashSingh3031/The-Complete-FAANG-Preparation | Career>InterviewPrep

• 2021-09-11 13:01:02 | online-ml/river: 🌊 Online machine learning in Python | Python>ML>misc-topics

• 2021-09-11 12:35:44 | VISSL · A library for state-of-the-art self-supervised learning | Python>ML>misc-topics

• 2021-09-10 09:52:18 | spotify/pedalboard: A Python library for adding effects to audio. | Python>AV>audio-music

• 2021-09-10 09:48:52 | A friendly introduction to machine learning compilers and optimizers | MSCE>ML

• 2021-09-09 11:26:30 | Deriving Guitar Theory in ~400 Lines of Python | Manohar Vanga | Python>AV>audio-music

• 2021-09-08 13:17:47 | [Course] GitHub - upb-lea/reinforcement_learning_course_materials: Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University | MSCE>ML

• 2021-09-08 13:12:22 | Welcome to Python Packages! — Python Packages | Python>Lang>packag-docu-distrib

• 2021-09-08 13:11:17 | A Gentle Introduction to Graph Neural Networks | MSCE>ML

• 2021-09-05 14:47:53 | Inferring Concept Drift Without Labeled Data | MSCE>ML

• 2021-09-03 12:18:58 | The big STL Algorithms tutorial: Minimum/maximum operations - DEV Community | Tech>C++

• 2021-08-31 07:38:09 | Complex Analysis | MSCE>Math

• 2021-08-27 08:47:32 | Anomaly detection in Python using the pyod library - The Data Scientist | Python>ML>many-methods

• 2021-08-27 07:31:12 | Data Science Interview Questions for Beginners | Career>InterviewPrep

• 2021-08-25 22:42:34 | Graph Data Science With Python/NetworkX | Toptal | Python>ML>trees-graphs

• 2021-08-19 18:54:41 | sandordargo/cpp-resources: C++ Learning Resrouces | Tech>C++

• 2021-08-17 15:33:43 | Bootstrapping Labels via ___ Supervision & Human-In-The-Loop | MSCE>ML

• 2021-08-17 15:31:52 | Modern Statistics with R | MSCE>Stat

• 2021-08-16 09:05:12 | https://powerfulpython.com/book/ | Python>Lang>tutorials-resources

• 2021-08-14 09:14:17 | stellargraph/stellargraph: StellarGraph - Machine Learning on Graphs | Python>ML>trees-graphs

• 2021-08-13 14:05:11 | A Survey of Transformer-based Pretrained Models in Natural Language Processing | MSCE>ML

• 2021-08-12 20:22:42 | Meeting C++ Book section | Tech>C++

• 2021-08-12 20:20:18 | 100+ Open Audio and Video Datasets | Twine Blog | Python>AV>audio-music

• 2021-08-11 07:04:52 | dair-ai/ML-YouTube-Courses: A repository to index and organize the latest machine learning courses found on YouTube. | MSCE>ML

• 2021-08-11 06:54:33 | Most Common Data Science Interview Questions and Answers - KDnuggets | Career>InterviewPrep

• 2021-08-10 03:25:46 | Office of Financial Research (OFR) | Finance>General

• 2021-08-09 13:08:42 | thu-ml/tianshou: An elegant PyTorch deep reinforcement learning library. | Python>ML>misc-topics

• 2021-08-06 19:13:01 | C++ Cheat Sheet for Beginners 🔥 - DEV Community | Tech>C++

• 2021-08-05 12:55:37 | Machine-learning on dirty data in Python: a tutorial — — Dirty data science | Python>ML>many-methods

• 2021-08-05 12:02:37 | Asset Allocation Interactive | Finance>Tools>portfolio

• 2021-08-05 12:02:21 | Smart Beta Interactive | Finance>Tools>factors

• 2021-08-05 10:33:24 | Bloomberg Markets and Finance - YouTube | Finance>MarketsLive

• 2021-08-03 17:07:27 | MAIF/shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone | Python>ML>train-eval-explain-deploy

• 2021-08-03 17:05:26 | Count SQL Snippets - Open-source SQL snippets | Tech>Databases

• 2021-08-02 10:36:59 | Live TV - Bloomberg | Finance>MarketsLive

• 2021-07-31 19:55:38 | Introduction  |  Recommendation Systems  |  Google Developers | MSCE>ML

• 2021-07-31 08:33:53 | MusicNet | Python>AV>audio-music

• 2021-07-30 18:21:12 | Riskfolio-Lib: Portfolio Optimization with Python | by Orenji | Jul, 2021 | Medium | Finance>Quant

• 2021-07-30 15:38:15 | Book Value in Modern Era - QuantPedia | Finance>Factors

• 2021-07-29 23:40:32 | kahst/BirdNET: Soundscape analysis with BirdNET. | Python>AV>audio-music

• 2021-07-29 23:36:29 | A Natural Language Processing (NLP) Primer | by Alan Davies | Jul, 2021 | Towards Data Science | Python>ML>nlp-llm

• 2021-07-29 18:35:55 | prajwollamichhane11/PDF-Handling-With-Python: Performing the following operations using python on PDF. | Python>Lang>interop

• 2021-07-29 18:32:57 | Empyrial - portfolio management in python | Finance>Tools

• 2021-07-20 20:23:02 | To retrain, or not to retrain? Let’s get analytical about ML model updates. | MSCE>ML

• 2021-07-19 07:41:46 | yandex-research/shifts | MSCE>ML

• 2021-07-18 18:43:20 | alibi-detect: Algorithms for outlier, adversarial and drift detection | Python>ML>misc-topics

• 2021-07-16 22:57:59 | Datashader 0.13.0 documentation | Python>Vis

• 2021-07-16 08:17:53 | Guide to Reinforcement Learning with Python and TensorFlow | Python>ML>neural-deep

• 2021-07-16 08:13:15 | Functools - The Power of Higher-Order Functions in Python | Python>Lang>func-prog

• 2021-07-15 11:26:28 | PyTorch Fundamentals - Learn | Microsoft Docs | MSCE>ML

• 2021-07-14 10:22:26 | gigwegbe/tinyml-papers-and-projects: This is a list of interesting papers and projects about TinyML. | MSCE>ML

• 2021-07-13 08:00:52 | Remote python jobs | Career>JobSearch

• 2021-07-10 14:31:05 | microsoft/IoT-For-Beginners: 12 Weeks, 24 Lessons, IoT for All! | MSCE>ML

• 2021-07-09 14:54:24 | [Course] Introduction to Deep Learning | MSCE>ML

• 2021-07-05 06:55:40 | How to Develop Convolutional Neural Network Models for Time Series Forecasting | Python>ML>time-series

• 2021-07-03 14:33:11 | microsoft/ML-For-Beginners: 12 weeks, 24 lessons, classic Machine Learning for all | MSCE>ML

• 2021-07-02 13:47:03 | Portfolio Management Of Multiple Strategies Using Python | Finance>Quant

• 2021-07-02 13:46:54 | https://www.google.com/url?q=https://u13167954.ct.sendgrid.net/ls/click?upn%3DI6s9-2BfQdKDIA9Bu-2B14T0ZDTwdbEDdv4EXCHWsboDl3szhsEnrkytjew-2B4Lh-2BR6Hrxvr5CbVemPXxoPSUZ2dFCLQzoq2fEgw1qYaizdDZWB9COYa9qBklrz-2FL4TXl-2Bt1-2FpiqqWIgPaoQlGDvWv6UmcJS6WUdo5tKbzkeMqGsbdak-3Dhwmr_-2BGZohrQsoJvSGAtbFvo2QqLI5GsEgLAgASfugK-2FRJf2Ws34iBT-2B-2B6aksWV4s5rwEFFM274CfWT4dxV2mVqjrJWvPljQ6V85UK0AvlKWt4q4JcxOnLX-2BFfC4cpUHryAW3gWcMWXfwKeOKMk4rYAt-2Fwpio8o6zDuDM-2B3uvWCW-2Fy6MGT11As2WRfgjFnkgNh-2B79Jx8zwKfee1stoO34Qytyboha3OybX9YVLR0L5Q0ZY4Xc7KAGmYbsOQ9NdKHCFIniEBY3lIBx-2BhWXOFxWAjUuuePQGAmWOb8nolGR732kS1hurDD2HMVwm-2FIxDzoAanzFvkO8jSto6T-2FUw508PQgiyBTSrImpuG2aNHQTd4BWjwRHFTjqZNZjQnIAJ0-2B2CdHgRIOIBfptZdulk1Qy1cNmZwP06g8Rc-2BFUt4WnYf1NWW5K9FHjdr94O5Kxy50DX53Q&source=gmail&ust=1625334403996000&usg=AFQjCNGHdnxUipriNLWiLnx52QhS8yWGRQ | MSCE>Stat

• 2021-06-29 07:50:14 | Introduction to Modern Statistics | MSCE>Stat

• 2021-06-25 08:43:33 | 225 Machine Learning Projects with Python | by Aman Kharwal | Coders Camp | Apr, 2021 | Medium | Python>ML>applications

• 2021-06-25 08:20:02 | dair-ai/ML-YouTube-Courses: A repository to index and organize the latest machine learning courses found on YouTube. | MSCE>ML

• 2021-06-24 21:07:41 | spotify/chartify: Python library that makes it easy for data scientists to create charts. | Python>Vis

• 2021-06-24 18:52:02 | Pythongasm - Concurrency and Parallelism in Python | Python>Lang>multitasking

• 2021-06-24 17:14:47 | A from-scratch tour of Bitcoin in Python | Finance>Quant

• 2021-06-24 17:11:25 | Transformer models - Hugging Face Course | MSCE>ML

• 2021-06-23 14:09:47 | Get Interactive Plots Directly With Pandas - KDnuggets | Python>Vis

• 2021-06-22 22:36:18 | More Fun Math Problems for Machine Learning Practitioners - Data Science Central | MSCE>Math

• 2021-06-22 19:45:06 | Introduction to Machine Learning Interviews Book · MLIB | Career>InterviewPrep

• 2021-06-22 13:35:14 | facebookresearch/Kats: Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends. | Python>ML>time-series

• 2021-06-22 10:27:17 | GoldinGuy/UltimateGitResource: 📚 The ultimate collection of git commands and resources to power up your programming! | Tech>VersionControl

• 2021-06-20 00:54:48 | College Compendium: CS courses | MSCE>CS

• 2021-06-17 00:46:28 | Reproducible Data Science + Python + Real-World Data | MSCE>ML

• 2021-06-13 00:58:22 | maziarraissi/Applied-Deep-Learning: Applied Deep Learning | MSCE>ML

• 2021-06-10 20:08:01 | An Animated Introduction to Programming in C++ | Tech>C++

• 2021-06-10 16:14:31 | Transformers Explained Visually — Not Just How, but Why They Work So Well | by Ketan Doshi | Jun, 2021 | Towards Data Science | MSCE>ML

• 2021-06-09 10:08:43 | ProofWiki | MSCE>Math

• 2021-06-08 13:08:12 | MAIF/shapash: 🔅 Shapash makes Machine Learning models transparent and understandable by everyone | Python>ML>train-eval-explain-deploy

• 2021-06-03 21:25:19 | Riskfolio-Lib: Portfolio Optimization and Quantitative Strategic Asset Allocation in Python | Finance>Tools

• 2021-06-03 18:23:00 | 70+ Python Projects For Beginners, Intermediate And Experienced Developers | Python>Lang>applications

• 2021-05-28 09:48:43 | Cost-Sensitive Learning for Imbalanced Classification | MSCE>ML

• 2021-05-28 09:30:35 | jwasham/coding-interview-university: A complete computer science study plan to become a software engineer. | Career>InterviewPrep

• 2021-05-25 14:12:19 | kyclark/tiny_python_projects: Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles. | Python>Lang>tutorials-resources

• 2021-05-23 23:15:05 | A Comprehensive Beginner’s Guide to the Diverse Field of Anomaly Detection | by Dominik Polzer | May, 2021 | Towards Data Science | MSCE>ML

• 2021-05-20 11:18:04 | Simple Multiprocessing In Python: Comparing core vs libraries | Python>Lang>multitasking

• 2021-05-15 11:37:00 | yangshun/tech-interview-handbook: 💯 Materials to help you rock your next coding interview | Career>InterviewPrep

• 2021-05-14 21:46:07 | Greykite: A flexible, intuitive, and fast forecasting library | LinkedIn Engineering | Python>ML>time-series

• 2021-05-12 11:13:21 | The Ultimate Guide to Inflation | Finance>General

• 2021-05-11 17:32:25 | ml-tooling/opyrator: 🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more. | Python>Web

• 2021-05-10 19:47:14 | Run Python Code In Parallel Using Multiprocessing | Python>Lang>multitasking

• 2021-05-09 13:59:32 | Film simulations from scratch using Python – Kevin Martin Jose | Python>AV>video-movies

• 2021-05-08 23:18:03 | Natural Language Processing With Python's NLTK Package – Real Python | Python>ML>nlp-llm

• 2021-05-08 08:02:53 | CI/CD Workflows - Github Actions | Python>Lang>packag-docu-distrib

• 2021-05-06 20:58:41 | Intro to Q-learning in RL | Deepnote | Python>ML>misc-topics

• 2021-05-06 01:45:58 | jwkvam/celluloid: Matplotlib animations made easy | Python>Vis

• 2021-05-05 16:43:57 | koaning/drawdata: Draw datasets from within Jupyter. | Python>Vis

• 2021-05-05 09:29:46 | Gradient Boosted Decision Trees – A Conceptual Explanation - KDnuggets | MSCE>ML

• 2021-05-05 09:28:52 | The NLP Index | Python>ML>nlp-llm

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• 2021-05-04 20:27:41 | https://wizardzines.com/comics/ | Tech>LinuxUbuntu

• 2021-05-02 12:24:12 | PlotNeuralNet: Latex code for making neural networks diagrams | Python>Vis

• 2021-04-29 21:51:13 | Clustergam: visualisation of cluster analysis – Martin Fleischmann | Python>Vis

• 2021-04-29 13:41:21 | Practical SQL for Data Analysis | Haki Benita | Tech>Databases

• 2021-04-29 10:55:06 | Machine learning for arts | MSCE>ML

• 2021-04-25 13:03:46 | johncollinsedhec/markov-switching-multifractal: Python implementation of the Markov-Switching Multifractal model (MSM) of Calvet & Fisher (2004, 2008). | Python>ML>time-series

• 2021-04-23 23:43:35 | 109 Data Science Interview Questions and Answers - DZone Big Data | Career>InterviewPrep

• 2021-04-23 19:57:07 | The matrix calculus you need for deep learning | MSCE>ML

• 2021-04-23 01:04:43 | Basic Music Theory in ~200 Lines of Python | Manohar Vanga | Python>AV>audio-music

• 2021-04-21 01:03:37 | flashlight/flashlight: A C++ standalone library for machine learning | Tech>C++

• 2021-04-21 00:55:45 | Gʀᴀᴘʜɪᴄs Cᴏᴅᴇx | MSCE>ML

• 2021-04-20 23:43:34 | Market Sentiment and an Overnight Anomaly - QuantPedia | Finance>Sentiment

• 2021-04-20 15:14:37 | Scikit-learn course | Python>ML>tools-pkgs-exercises

• 2021-04-16 05:27:11 | Linear Programming with Gurobipy in Python - Optimization - PyShark | Python>ML>optimization

• 2021-04-15 17:52:41 | How to Build Machine Learning Pipeline with Scikit-Learn? And Why is it essential? – Life With Data | Python>ML>tools-pkgs-exercises

• 2021-04-14 00:07:52 | INRIA/scikit-learn-mooc: scikit-learn-mooc | Python>ML>tools-pkgs-exercises

• 2021-04-13 17:00:18 | HENDRIX-ZT2/pyaudiorestoration: A set of tools to restore audio quality from a variety of old analog sources, such as tape, cassettes, acetates and vinyl. | Python>AV>audio-music

• 2021-04-13 16:53:35 | Process large datasets without running out of memory | Python>Lang>bigdata-processing

• 2021-04-13 16:52:48 | Fil: a new Python memory profiler for data scientists and scientists | Python>Lang>bigdata-processing

• 2021-04-13 16:43:29 | How to make an awesome Python package in 2021 | Anton Zhiyanov | Python>Lang>packag-docu-distrib

• 2021-04-13 11:01:18 | Crowding in Commodity Factor Strategies - QuantPedia | Finance>Factors

• 2021-04-13 00:28:03 | The Definitive Guide to Pairs Trading - Hudson & Thames | Finance>TradingStrategies

• 2021-04-13 00:26:17 | Building Optimized Portfolios with JPMorgan’s 2021 Forecasts | CFA Institute Enterprising Investor | Finance>General

• 2021-04-10 09:29:52 | Shapash: model interpretation | Python>ML>train-eval-explain-deploy

• 2021-04-09 10:08:56 | JuliaAcademy | Tech>Julia

• 2021-04-09 02:02:35 | MarketMinder - Daily Commentary by Fisher Investments | Finance>MarketsReview>Daily

• 2021-04-09 02:01:40 | Market Commentary | Karp Financial Strategies | Finance>MarketsReview>Daily

• 2021-04-08 09:01:34 | Machine Learning Ops | Python>ML>tools-pkgs-exercises

• 2021-04-07 13:04:35 | divelab/DIG: A library for graph deep learning research | Python>ML>neural-deep

• 2021-04-07 08:35:13 | EvalML: Easy AutoML in Python | Python>ML>many-methods

• 2021-04-04 22:32:50 | Machine Learning and Deep Learning Courses - Elvis's Blog | MSCE>ML

• 2021-03-27 10:47:00 | ajbrzoz/Head-First-Design-Patterns: Examples from "Head First Design Patterns" implemented in Python | Python>Lang>tutorials-resources

• 2021-03-27 10:04:31 | faif/python-patterns: A collection of design patterns/idioms in Python | Python>Lang>tutorials-resources

• 2021-03-27 09:36:27 | RJT1990/pyflux: Open source time series library for Python | Python>ML>time-series

• 2021-03-25 10:26:30 | Audio Deep Learning Made Simple: Sound Classification, Step-by-Step | Python>AV>audio-music

• 2021-03-25 10:24:32 | music_in_python: Sound processing in Python | Python>AV>audio-music

• 2021-03-24 17:58:05 | The Best Machine Learning Frameworks & Extensions for Scikit-learn | Python>ML>tools-pkgs-exercises

• 2021-03-23 21:27:22 | The Ultimate Python Seaborn Tutorial: Gotta Catch 'Em All | Python>Vis

• 2021-03-23 18:43:29 | How to Write Unit Tests in Python, Part 1: Fizz Buzz - miguelgrinberg.com | Python>Lang>testing

• 2021-03-22 22:16:36 | 18alantom/synth: An attempt at making a synth using Python | Python>AV>audio-music

• 2021-03-18 23:01:42 | A Guide to Preparing for Software Developer Interviews in the Trading Industry | Career>InterviewPrep

• 2021-03-18 22:48:46 | ssantoshp/trafalgar: Python library to make development of portfolio analysis faster and easier | Finance>Quant

• 2021-03-18 22:45:40 | How to apply machine learning and deep learning methods to audio analysis – Comet | Python>AV>audio-music

• 2021-03-18 11:26:16 | Example Driven High Level Overview of Spark with Python | The Coding Interface | Python>Lang>bigdata-processing

• 2021-03-18 08:23:08 | Machine Learning Algorithms For Beginners with Code Examples in Python | by Towards AI Team | Towards AI | Python>ML>many-methods

• 2021-03-17 16:58:33 | C++ Patterns | Tech>C++

• 2021-03-17 14:02:42 | Introduction | The Mathematical Engineering of Deep Learning | MSCE>ML

• 2021-03-16 15:42:30 | [Book] Deep Learning | MSCE>ML

• 2021-03-16 15:28:14 | zillow/luminaire: ML driven solutions for monitoring time series data. | Python>ML>time-series

• 2021-03-15 20:12:07 | SpeechBrain: A PyTorch Speech Toolkit | Python>AV>audio-music

• 2021-03-15 17:33:37 | Maths Ed Ideas: LISTENS | MSCE>Math

• 2021-03-15 09:35:00 | Does Social Media Sentiment Matter in the Pricing of U.S. Stocks? - QuantPedia | Finance>Sentiment

• 2021-03-14 09:22:03 | [Course] Full Stack Deep Learning | MSCE>ML

• 2021-03-12 20:49:38 | Patterns, Predictions, and Actions | MSCE>ML

• 2021-03-12 20:47:17 | aaronwangy/Data-Science-Cheatsheet: A helpful 4-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between. | MSCE>ML

• 2021-03-11 07:58:37 | Machine Learning Glossary  |  Google Developers | MSCE>ML

• 2021-03-09 21:53:12 | rougier/scientific-visualization-book: ❗️WIP❗️An open access book on scientific visualization using python and matplotlib | Python>Vis

• 2021-03-09 16:04:54 | GitHub - bambinos/bambi: BAyesian Model-Building Interface (Bambi) in Python. | Python>ML>bayesian

• 2021-03-04 17:31:12 | Pandas DataFrame Tutorial - Beginner’s Guide to GPU Accelerated DataFrames in Python | NVIDIA Developer Blog | Python>ML>tools-pkgs-exercises

• 2021-03-04 17:30:37 | Profiling Python code with line_profiler - wrighters.io | Python>Lang>debug-log-except

• 2021-03-04 13:05:20 | White paper - Redesigning tactical asset allocation - Investors' Corner | Finance>Factors

• 2021-03-04 08:00:34 | Is Facebook's "Prophet" the Time-Series Messiah, or Just a Very Naughty Boy? | Python>ML>time-series

• 2021-03-04 07:52:13 | Generate customizable PDF reports with Python (PyQt5, PySide2, PyQt5, PySide6) — Hands-on guide to Python GUI programming with Qt | Python>Lang>reporting

• 2021-02-27 20:17:56 | skrish13/ml-contests-conf: ML and DL related contests, competitions and conference challenges. | MSCE>ML

• 2021-02-27 09:04:47 | CS 329S | Home | MSCE>ML

• 2021-02-26 20:35:24 | Understanding LSTM Networks -- colah's blog | MSCE>ML

• 2021-02-26 18:11:24 | ESG Factors and Traditional Factors - Academic Insights on Investing | Finance>ESG

• 2021-02-24 19:02:00 | A Robust Approach to Multi-Factor Regression Analysis - QuantPedia | Finance>Factors

• 2021-02-24 17:54:16 | kglab: graph based data science | Python>ML>trees-graphs

• 2021-02-24 17:52:00 | Python Concurrency: The Tricky Bits | Python>Lang>multitasking

• 2021-02-23 21:26:22 | Getting Started with 5 Essential Natural Language Processing Libraries - KDnuggets | Python>ML>nlp-llm

• 2021-02-23 19:42:22 | explainerdashboard — explainerdashboard 0.2 documentation | Python>ML>train-eval-explain-deploy

• 2021-02-22 23:55:14 | Parsing portfolio optimization - OSM | Finance>Quant

• 2021-02-22 11:19:58 | Top 50 matplotlib Visualizations - The Master Plots (w/ Full Python Code) | ML+ | Python>Vis

• 2021-02-22 08:25:23 | shobrook/communities: Library for detecting and visualizing community structure in graphs | Python>ML>many-methods

• 2021-02-21 11:20:08 | abhishekkrthakur/approachingalmost: Approaching (Almost) Any Machine Learning Problem | MSCE>ML

• 2021-02-20 20:37:49 | ESG Factors and Traditional Factors - | Finance>Factors

• 2021-02-18 10:22:15 | Learn About Transformers: A Recipe - Elvis's Blog | MSCE>ML

• 2021-02-15 10:36:42 | Automated Machine Learning | MLJAR Automated Machine Learning | Python>ML>many-methods

• 2021-02-14 11:49:56 | satwikkansal/wtfpython: What the f*ck Python? 😱 | Python>Lang>tutorials-resources

• 2021-02-13 19:33:32 | PyPortfolioOpt 1.4.0 documentation | Finance>Quant

• 2021-02-13 00:19:53 | JerBouma/FundamentalAnalysis: Fully-fledged Fundamental Analysis package capable of collecting 20 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies. | Finance>Quant

• 2021-02-13 00:19:25 | JerBouma/FinanceDatabase: This is a database of 180.000+ symbols containing Equities, ETFs, Funds, Indices, Futures, Options, Currencies, Cryptocurrencies and Money Markets. | Data>finance

• 2021-02-10 21:46:45 | luspr/awesome-ml-courses: Awesome free machine learning and AI courses with video lectures. | MSCE>ML

• 2021-02-09 14:42:48 | Machine Learning Datasets | Papers With Code | Data>ml-datascience

• 2021-02-07 21:39:22 | Difference Between Backpropagation and Stochastic Gradient Descent | MSCE>ML

• 2021-02-07 03:12:17 | ETF Selector | Seeking Alpha | Finance>ETFs

• 2021-02-06 08:55:10 | [Course] MIT Deep Learning 6.S191 | MSCE>ML

• 2021-02-05 03:13:21 | data-describe/data-describe: data⎰describe: Pythonic EDA Accelerator for Data Science | Python>ML>tools-pkgs-exercises

• 2021-02-04 22:28:07 | microprediction/timemachines: Simple pure function representations of popular time series packages. | Python>ML>time-series

• 2021-02-04 20:50:35 | Musings about Factor Exposure Analysis | FactorResearch | Finance>Factors

• 2021-02-04 20:13:07 | Popular Python Time Series Packages | Python>ML>time-series

• 2021-02-04 19:19:19 | What’s up with Momentum? | Finance>Factors

• 2021-02-03 20:01:49 | cerlymarco/tsmoothie: A python library for time-series smoothing and outlier detection in a vectorized way. | Python>ML>time-series

• 2021-02-03 14:38:19 | Hot Topic: Does "Gamma" Hedging Actually Affect Stock Prices? - | Finance>Options

• 2021-02-03 14:21:36 | Hot Topic: Does “Gamma” Hedging Actually Affect Stock Prices? - Academic Insights on Investing | Finance>Options

• 2021-02-02 12:04:57 | Introduction to Futures | Finance>Futures

• 2021-01-31 18:04:10 | Fundamental and Sentiment analysis with different data sources | Finance>Sentiment

• 2021-01-31 10:11:12 | Computational Representations of Message Passing - Essays on Data Science | MSCE>ML

• 2021-01-30 12:35:43 | ArviZ: Exploratory analysis of Bayesian models — ArviZ dev documentation | Python>ML>bayesian

• 2021-01-30 12:35:13 | arviz · PyPI | Tech>Go

• 2021-01-29 09:11:33 | inancgumus/learngo: 1000+ Hand-Crafted Go Examples, Exercises, and Quizzes | Tech>Go

• 2021-01-29 08:54:15 | Macro Factor Risk Parity - QuantPedia | Finance>Factors

• 2021-01-28 18:52:00 | The Quality Factor—What Exactly Is It? - | Finance>Factors

• 2021-01-28 09:19:54 | akzare/Algorithms: Algorithm and Data Structures | Career>InterviewPrep

• 2021-01-27 14:09:45 | Recent Weaknesses of Factor Investing - CXO Advisory | Finance>Factors

• 2021-01-27 08:25:27 | The Ultimate Scikit-Learn Machine Learning Cheatsheet | Python>ML>tools-pkgs-exercises

• 2021-01-27 08:24:43 | Popular Machine Learning Interview Questions | Career>InterviewPrep

• 2021-01-27 08:22:07 | The Battle of Factor Models | Finance>Factors

• 2021-01-27 00:33:09 | ETF Strategy » ETF news, research, analytics and strategy, covering equities, fixed income, commodities and alternatives | Finance>ETFs

• 2021-01-24 22:00:14 | Popular Python Time Series Packages | Python>ML>time-series

• 2021-01-24 19:56:56 | Factors White Papers - Ackerman Capital Management | Finance>Factors

• 2021-01-24 09:25:02 | Portfolio Analysis: Performance Measurement and Evaluation | Finance>Quant

• 2021-01-24 09:12:23 | Factor capacity by the numbers | BlackRock | Finance>Factors

• 2021-01-23 12:38:43 | Heston Model: Formula, Assumptions, Limitations | Finance>Quant

• 2021-01-19 19:30:54 | That XOR Trick | Career>InterviewPrep

• 2021-01-19 19:10:05 | Sentiment Analysis: First Steps With Python's NLTK Library – Real Python | Python>ML>nlp-llm

• 2021-01-19 19:03:33 | Bayesian statistics and modelling | Nature Reviews Methods Primers | MSCE>Stat

• 2021-01-19 08:47:01 | Developer-Y/cs-video-courses: List of Computer Science courses with video lectures. | MSCE>CS

• 2021-01-18 21:51:41 | The Ultimate Guide to SQL Interview Questions | Career>InterviewPrep

• 2021-01-15 09:24:33 | Learn X by doing Y - A project-based learning search engine | Python>Lang>applications

• 2021-01-15 09:22:58 | Testing Python Applications with Pytest [Guide] | Python>Lang>testing

• 2021-01-14 14:01:40 | ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. | Python>ML>tools-pkgs-exercises

• 2021-01-12 22:09:48 | CppCast | Tech>C++

• 2021-01-12 14:52:04 | The Definitive Study on Long-Term Factor Investing Returns | Finance>Factors

• 2021-01-11 23:04:32 | MacroAnalyst/Linear_Algebra_With_Python: Lecture Notes for Linear Algebra Featuring Python | Python>ML>tools-pkgs-exercises

• 2021-01-11 11:54:24 | jalammar/ecco: Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2). | Python>ML>nlp-llm

• 2021-01-10 11:37:30 | reiinakano/scikit-plot: An intuitive library to add plotting functionality to scikit-learn objects. | Python>Vis

• 2021-01-09 19:36:40 | norvig/pytudes: Python programs, usually short, of considerable difficulty, to perfect particular skills. | Career>InterviewPrep

• 2021-01-09 02:39:26 | Ubuntu – Installing Broadcom Wireless Drivers – iTecTec | Tech>LinuxUbuntu

• 2021-01-09 02:05:22 | Ubuntu – How To Resolve Wifi Driver Problem on Ubuntu 20.04 – iTecTec | Tech>LinuxUbuntu

• 2021-01-08 23:45:56 | dmlc/dgl: Python package built to ease deep learning on graph, on top of existing DL frameworks. | Python>ML>neural-deep

• 2021-01-07 18:36:23 | A half-hour to learn Rust - fasterthanli.me | Tech>Rust

• 2021-01-07 18:35:23 | Easy Rust (book) | Tech>Rust

• 2021-01-07 02:38:35 | [Course] Deep learning theory lecture notes | MSCE>ML

• 2021-01-06 17:07:16 | dair-ai/ml-visuals: 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing. | Python>ML>tools-pkgs-exercises

• 2021-01-05 18:34:48 | uncertainty-toolbox/uncertainty-toolbox: A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization | Python>ML>tools-pkgs-exercises

• 2021-01-05 16:10:51 | [Book] math4ml.pdf | MSCE>ML

• 2021-01-05 16:09:17 | 500 AI Machine learning Deep learning Computer vision NLP Projects with code | Python>ML>applications

• 2021-01-05 07:52:55 | pmdarima for time-series: auto arima in python | Python>ML>time-series

• 2021-01-04 16:28:52 | Proof Index | MSCE>Math

• 2021-01-03 05:19:37 | Stat guide for data science interviews | Career>InterviewPrep

• 2021-01-01 11:39:11 | [Book] "Probabilistic Machine Learning" - a book series by Kevin Murphy | MSCE>ML

• 2020-12-31 22:36:02 | [Book] https://probml.github.io/pml-book/book1.html | MSCE>ML

• 2020-12-31 05:28:05 | pyeve/cerberus: Lightweight, extensible data validation library for Python | Python>ML>tools-pkgs-exercises

• 2020-12-29 17:40:02 | DeepGraphLearning/LiteratureDL4Graph: A comprehensive collection of recent papers on graph deep learning | Python>ML>neural-deep

• 2020-12-29 17:34:40 | bharathgs/Awesome-pytorch-list: A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc. | Python>ML>neural-deep

• 2020-12-26 17:38:40 | How Transformers work in deep learning and NLP: an intuitive introduction | AI Summer | MSCE>ML

• 2020-12-24 17:55:53 | HiPlot demonstration — HiPlot 0.1.21 documentation | Python>Vis

• 2020-12-20 18:44:40 | graykode/nlp-tutorial: Natural Language Processing Tutorial for Deep Learning Researchers | Python>ML>nlp-llm

• 2020-12-20 10:23:25 | Trading With Python | Become a quant. | Finance>Quant

• 2020-12-11 06:38:48 | nickmccullum/algorithmic-trading-python: The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python | Finance>Quant

• 2020-12-05 22:10:23 | A Comprehensive Guide to Profiling Python Programs | Python>Lang>tutorials-resources

• 2020-12-02 07:45:37 | [Course] Deep Learning course NYU | MSCE>ML

• 2020-12-01 21:07:10 | Replicate – Version control for machine learning | Python>ML>tools-pkgs-exercises

• 2020-11-29 00:50:36 | google/oboe: Oboe is a C++ library that makes it easy to build high-performance audio apps on Android. | Python>AV>audio-music

• 2020-11-29 00:38:08 | Project Euler: problems | MSCE>Math

• 2020-11-27 14:08:33 | NiuTrans/ABigSurvey: A collection of 400+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML) | Python>ML>nlp-llm

• 2020-11-26 18:29:35 | Python logging - under the hood | Python>Lang>tutorials-resources

• 2020-11-26 18:27:34 | Python objects speak for themselves | Python>Lang>tutorials-resources

• 2020-11-26 01:59:47 | marp-team/marp: The entrance repository of Markdown presentation ecosystem | Python>Lang>reporting

• 2020-11-25 08:12:14 | Cryptocurrency Research | Finance>Quant

• 2020-11-24 15:25:25 | spotify/klio: Smarter data pipelines for audio. | Python>AV>audio-music

• 2020-11-24 10:30:04 | How to Get Market Data in Python | Finance>Quant

• 2020-11-23 00:00:10 | QuantConnect/Lean: Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#) | Finance>Tools>algo-trading

• 2020-11-20 22:44:48 | ossu/data-science: Path to a free self-taught education in Data Science! | MSCE>ML

• 2020-11-19 11:32:54 | Top 9 Feature Engineering Techniques with Python | Python>ML>feat-engg-select

• 2020-11-19 11:28:57 | Wrapping C++ with Cython: intro - azhpushkin.me | Python>Lang>interop

• 2020-11-18 16:57:09 | soulmachine/machine-learning-cheat-sheet: Classical equations and diagrams in machine learning | MSCE>ML

• 2020-11-16 14:38:14 | Machine learning resources | MSCE>ML

• 2020-11-15 22:42:13 | 130 Machine Learning Projects Solved and Explained | by Aman Kharwal | The Innovation | Oct, 2020 | Medium | Python>ML>applications

• 2020-11-15 11:49:50 | Fixed income factors – Institutional | BlackRock | Finance>Factors

• 2020-11-14 21:11:06 | Oh Shit, Git!?! | Tech>VersionControl

• 2020-11-14 18:02:15 | Install Ubuntu on a Chromebook | Ubuntu | Finance>Quant

• 2020-11-13 10:15:40 | Building a Financial Machine Learning Pipeline with Alpaca (Part 1) | Finance>Quant

• 2020-11-12 23:40:22 | Quickstart for GitHub Actions - GitHub Docs | Tech>VersionControl

• 2020-11-12 10:33:47 | The math behind Gradient Descent and Backpropagation | by Enghin Omer | Nov, 2020 | Towards Data Science | MSCE>ML

• 2020-11-10 16:13:41 | Use Sentiment Analysis With Python to Classify Movie Reviews – Real Python | Python>ML>nlp-llm

• 2020-11-10 05:48:07 | firmai/financial-machine-learning: A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai) | Finance>Tools

• 2020-11-07 23:36:01 | ybayle/awesome-deep-learning-music: List of articles related to deep learning applied to music | Python>AV>audio-music

• 2020-11-07 23:35:03 | faroit/awesome-python-scientific-audio: Curated list of python software and packages related to scientific research in audio | Python>AV>audio-music

• 2020-11-06 22:31:50 | synestematic/kord: a music theory development framework in python | Python>AV>audio-music

• 2020-11-06 22:31:00 | Random Forest for Time Series Forecasting | Python>ML>time-series

• 2020-11-06 22:27:30 | AlgoExpert | Career>InterviewPrep

• 2020-11-06 00:08:00 | StBogdan/CTCI_python: Solutions for Interview questions appearing in the 6th edition of Cracking the Coding Interview (CTCI) | Career>InterviewPrep

• 2020-11-06 00:06:48 | learning-zone/python-interview-questions: 300+ Python Interview Questions | Career>InterviewPrep

• 2020-11-04 12:53:02 | Simple audio recognition: Recognizing key words  |  TensorFlow Core | Python>AV>audio-music

• 2020-11-03 17:07:41 | uber/orbit: Wrapper of probabilistic languages to provide Bayesian time series modeling and inference | Python>ML>time-series

• 2020-11-03 17:04:32 | TimescaleDB 2.0: A multi-node, petabyte-scale relational database for time-series | Tech>Databases

• 2020-11-03 13:47:52 | How to make measure theory usable for your problem? | by Leonard Schuler | Oct, 2020 | Towards Data Science | MSCE>Stat

• 2020-11-02 10:18:46 | Compact prediction tree. A Lossless Model for Accurate Sequence… | by Louis Fruleux | Oct, 2020 | Towards Data Science | Python>ML>trees-graphs

• 2020-10-31 17:07:09 | PerceptiLabs/CodeExamples: We have put together some examples of different well known machine learning algorithms. This is to make it easier to understand how it looks like when working with machine learning in code. Happy hacking! | Python>ML>many-methods

• 2020-10-29 22:13:31 | A quick guide to building a Docker container for your Python application - DEV | Tech>Containers

• 2020-10-29 12:33:00 | ScalaZONE - Scala 3 Programming Language Courses | Tech>SparkScala

• 2020-10-29 12:24:31 | How to write a great Dockerfile for Python apps | Tech>Containers

• 2020-10-29 08:36:11 | My Recommendations for Getting Started with NLP - Elvis's Blog | MSCE>ML

• 2020-10-28 01:14:34 | The 40 Best Questions to Ask in an Interview — How to Go Deeper Than “What’s the Culture Like?” | First Round Review | Career>InterviewPrep

• 2020-10-28 01:12:13 | LucasPilla/Sorting-Algorithms-Visualizer: Program made with Pygame module for visualizing sorting algorithms | Python>Lang>tutorials-resources

• 2020-10-27 11:49:36 | Introduction to Linear Algebra for Applied Machine Learning with Python | MSCE>ML

• 2020-10-27 08:55:08 | A free online introduction to artificial intelligence for non-experts | MSCE>ML

• 2020-10-26 11:15:31 | Struggling with data imbalance? Semi-supervised & Self-supervised learning help! | Python>ML>train-eval-explain-deploy

• 2020-10-22 21:25:52 | How to Kill a Python Thread | Python>Lang>multitasking

• 2020-10-21 21:32:02 | Structural Time Series | MSCE>ML

• 2020-10-21 21:30:00 | Awesome Data Engineering Learning Path | Tech>BigData

• 2020-10-21 16:48:29 | Black-Scholes Formula and Python Implementation | Finance>Quant

• 2020-10-21 16:29:26 | Backtrader for Backtesting (Python) - A Complete Guide | Finance>Quant

• 2020-10-21 09:43:16 | Python For Feature Film | Python>AV>video-movies

• 2020-10-21 09:39:45 | Backpropagation paper from scratch | Oct, 2020 | Towards Data Science | Python>ML>neural-deep

• 2020-10-20 10:14:25 | Reinforcement Learning Made Simple (Part 1): Intro to Basic Concepts and Terminology | by Ketan Doshi | Oct, 2020 | Towards Data Science | MSCE>ML

• 2020-10-19 21:52:22 | The Microstructure Exchange | A seminar series for market microstructure. | Finance>Courses

• 2020-10-19 20:07:00 | 5 Most Useful Window Functions In SQL You Should Know | by Terence S | Sep, 2020 | Towards Data Science | Tech>Databases

• 2020-10-19 13:49:48 | Quant Questions - A Leader in Quant Finance Interview Prep | Career>InterviewPrep

• 2020-10-19 10:07:00 | Neural networks and deep learning: book | MSCE>ML

• 2020-10-19 09:22:43 | Practical Deep Learning for Coders | Practical Deep Learning for Coders | Python>ML>neural-deep

• 2020-10-19 09:20:49 | EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | Python>ML>train-eval-explain-deploy

• 2020-10-19 09:19:37 | ahkarami/Deep-Learning-in-Production: In this repository, I will share some useful notes and references about deploying deep learning-based models in production. | Python>ML>train-eval-explain-deploy

• 2020-10-19 09:14:11 | [Book] Dive into Deep Learning | MSCE>ML

• 2020-10-18 21:12:53 | Use Python to Value a Stock Automatically | by Bohmian | Data Driven Investor | Oct, 2020 | Medium | Finance>Quant

• 2020-10-18 16:53:14 | EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | MSCE>ML

• 2020-10-18 16:51:24 | EthicalML/awesome-artificial-intelligence-guidelines: This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond. | MSCE>ML

• 2020-10-18 10:20:04 | Introduction to Reinforcement Learning · Made With ML | Python>ML>neural-deep

• 2020-10-18 10:19:23 | ariG23498/RNN_Viz: Sequence models in Numpy | Python>ML>neural-deep

• 2020-10-17 22:43:30 | My Recommendations to Learn Mathematics for Machine Learning | by elvis | dair.ai | Oct, 2020 | Medium | MSCE>ML

• 2020-10-17 09:10:17 | 10 Best Machine Learning Courses in 2020 | MSCE>ML

• 2020-10-16 19:26:05 | The Exploding and Vanishing Gradients Problem in Time Series | Python>ML>time-series

• 2020-10-16 05:36:42 | Understand TensorFlow by mimicking its API from scratch | by Dominic E. | Medium | MSCE>ML

• 2020-10-16 04:09:16 | Python Job Board – Python Jobs HQ | Career>JobSearch

• 2020-10-14 10:06:56 | Open Source Tools & Data for Music Source Separation | Python>AV>audio-music

• 2020-10-13 22:43:57 | FundamMusicProcessing Notebooks | Python>AV>audio-music

• 2020-10-13 15:53:36 | PySDR: A Guide to SDR and DSP using Python | Python>AV>audio-music

• 2020-10-08 14:51:14 | Create Beautiful Architecture Diagrams with Python | Python>Lang>reporting

• 2020-10-08 12:35:26 | A Brief History of Neural Nets and Deep Learning | MSCE>ML

• 2020-10-07 21:31:40 | Build (and Run!) Your Own Cool Image Classifier! | Medium | Python>ML>neural-deep

• 2020-10-07 08:29:08 | Bayesian Methods for Hackers | Python>ML>bayesian

• 2020-10-06 21:00:43 | The Magic of Python Context Managers | by Martin Heinz | Python>Lang>tutorials-resources

• 2020-10-02 22:59:15 | [Book] Mathematics for Machine Learning | Companion webpage | MSCE>ML

• 2020-10-01 22:04:49 | microsoft/qlib: Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create bett | Finance>Tools>algo-trading

• 2020-10-01 09:19:49 | The matrix calculus you need for deep learning | MSCE>ML

• 2020-09-28 22:33:32 | Scientific Computing in Python: Introduction to NumPy and Matplotlib | Python>ML>tools-pkgs-exercises

• 2020-09-28 08:41:19 | aiquizzes - learn ai | MSCE>ML

• 2020-09-26 20:43:33 | domokane/FinancePy: A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. | Finance>Tools

• 2020-09-26 20:40:08 | Introducing PyTorch Forecasting | by Jan Beitner | Towards Data Science | Python>ML>time-series

• 2020-09-26 09:09:26 | Music generation using Deep Learning | Python>AV>audio-music

• 2020-09-26 09:07:57 | How to Generate Music using a LSTM Neural Network in Keras | Python>AV>audio-music

• 2020-09-26 08:42:24 | JoseDeFreitas/awesome-youtubers: ▶️ An awesome list containing awesome YouTubers that teach about technology | Tech>Programming

• 2020-09-24 20:20:13 | Tour of Scala | Home | Tech>SparkScala

• 2020-09-23 08:02:35 | The mmap() copy-on-write trick: reducing memory usage of array copies | Python>Lang>tutorials-resources

• 2020-09-22 13:13:20 | Under the hood of calling C/C++ from Python - azhpushkin.me | Python>Lang>tutorials-resources

• 2020-09-17 21:39:25 | Which GPU(s) to Get for Deep Learning | Tech>BigData

• 2020-09-17 19:52:11 | 24 Best (and Free) Books To Understand Machine Learning | MSCE>ML

• 2020-09-16 10:14:01 | Deep Learning’s Most Important Ideas | MSCE>ML

• 2020-09-15 18:04:59 | Data science interview questions and answers | Career>InterviewPrep

• 2020-09-15 09:41:58 | Time Series of Price Anomaly Detection with LSTM | by Susan Li | Sep, 2020 | Towards Data Science | Python>ML>time-series

• 2020-09-14 22:59:09 | Niklas Schmidinger: The Sorcerer's Apprentice Guide to Training LSTMs | MSCE>ML

• 2020-09-12 09:12:13 | aws-samples/aws-machine-learning-university-accelerated-cv: Machine Learning University: Accelerated Computer Vision Class | MSCE>ML

• 2020-09-10 22:46:54 | EthicalML/awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | Python>ML>train-eval-explain-deploy

• 2020-09-10 11:26:09 | Sync vs. Async Python: What is the Difference? - miguelgrinberg.com | Python>Lang>tutorials-resources

• 2020-09-10 11:22:55 | How to Create a Cartoonizer with TensorFlow Lite — The TensorFlow Blog | Python>ML>applications

• 2020-09-09 23:10:41 | mahmoud/awesome-python-applications: 💿 Free software that works great, and also happens to be open-source Python. | Python>Lang>applications

• 2020-09-09 12:45:25 | Building a Concurrent Web Scraper with Python and Selenium | Python>Lang>multitasking

• 2020-09-09 12:36:57 | An Introduction to Reactive Programming in Python | Python>Lang>tutorials-resources

• 2020-09-09 12:30:01 | fastcore: making python faster | Python>Lang>tutorials-resources

• 2020-09-08 22:16:04 | PyQuant News | Finance>Quant

• 2020-09-04 07:18:05 | Accounting for Finance and Investing | Finance>Courses

• 2020-09-02 20:39:26 | pippi: music with Python | Python>AV>audio-music

• 2020-09-02 07:27:15 | [Book] Machine Learning from Scratch | MSCE>ML

• 2020-09-01 12:02:21 | Information Visualization · FH Potsdam · Summer 2020 | Python>Vis

• 2020-09-01 11:27:13 | Getting Started With CircuitPython On Compatible Microcontroller Boards - Woolsey Workshop | Python>Lang>tutorials-resources

• 2020-08-31 21:30:06 | NLTK Book | Python>ML>nlp-llm

• 2020-08-28 07:19:00 | Pull requests made easy | fastai | Tech>VersionControl

• 2020-08-27 11:47:43 | Time-Series Forecasting With TensorFlow 2.0 | Python>ML>time-series

• 2020-08-19 13:36:07 | Mini Raspberry Pi Boston Dynamics–inspired robot - Raspberry Pi | Python>ML>applications

• 2020-08-18 11:54:49 | Bank Risk Premia Indices: Unbankable? | FactorResearch | Finance>Factors

• 2020-08-18 10:24:45 | Data Version Control With Python and DVC – Real Python | Python>Lang>tutorials-resources

• 2020-08-13 22:13:38 | PyOxidizer: A modern Python application packaging and distribution tool | Python>Lang>packag-docu-distrib

• 2020-08-10 01:32:13 | Audio Data Analysis Using Deep Learning with Python (Part 1) | by Nagesh Singh Chauhan | Level Up Coding | Python>AV>audio-music

• 2020-08-09 00:34:49 | AudioSet | Data>audio-music

• 2020-08-09 00:34:12 | FSDKaggle2019 | Zenodo | Data>audio-music

• 2020-08-07 18:43:16 | How To Learn C++: A Guide For Newcomers to Audio Programming - The Audio Programmer | Tech>C++>audio-music

• 2020-08-06 20:54:34 | Volos: Options Strategies | Finance>General

• 2020-08-06 20:53:23 | Portfolio Visualizer | Finance>Tools>portfolio

• 2020-08-04 12:12:03 | pandera-dev/pandera: A flexible and expressive pandas data validation library | Python>ML>tools-pkgs-exercises

• 2020-08-04 08:31:57 | Python and PDF: A Review of Existing Tools – Johannes Filter | Python>Lang>reporting

• 2020-08-03 08:31:54 | Audio Handling Basics: Process Audio Files In Command-Line or Python | Hacker Noon | Python>AV>audio-music

• 2020-08-02 18:56:30 | eugeneyan/applied-ml: 📚 Curated papers, articles & videos on data science & machine learning applied in production, with results. | MSCE>ML

• 2020-08-01 12:43:43 | cuemacro/tcapy: Open source TCA (transaction cost analysis) Python library for FX spot | Finance>Tools

• 2020-08-01 12:43:32 | cuemacro/finmarketpy: Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians) | Finance>Tools>algo-trading

• 2020-08-01 12:39:17 | cuemacro/findatapy: Python library to download market data via Bloomberg, Quandl, Yahoo etc. | Finance>Tools

• 2020-08-01 09:32:55 | An introduction to audio processing and machine learning using Python | Opensource.com | Python>AV>audio-music

• 2020-08-01 01:05:43 | enzoampil/fastquant: fastquant — Backtest and optimize your trading strategies with only 3 lines of code! | Finance>Quant

• 2020-08-01 00:20:05 | Deep Learning's Most Important Ideas - A Brief Historical Review | MSCE>ML

• 2020-07-30 18:00:21 | Scala Exercises Alternatives - Scala Misc. | LibHunt | Tech>SparkScala

• 2020-07-28 08:26:49 | mrdbourke/machine-learning-roadmap: A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them. | MSCE>ML

• 2020-07-24 22:20:03 | 60+ useful graph visualization libraries | Python>Vis

• 2020-07-24 13:48:30 | floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech! | MSCE>ML

• 2020-07-18 11:20:00 | heidelbergcement/hcrystalball: A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem. | Python>ML>time-series

• 2020-07-18 09:34:37 | plotly/Kaleido: Fast static image export for web-based visualization libraries with zero dependencies | Python>Vis

• 2020-07-16 18:30:47 | Visual Scala Reference | Tech>SparkScala

• 2020-07-16 12:42:35 | Python 101 - Creating Multiple Processes | Python>Lang>multitasking

• 2020-07-16 12:39:21 | NumPy Fundamentals for Data Science and Machine Learning | Python>ML>tools-pkgs-exercises

• 2020-07-16 12:39:07 | NumPy Fundamentals for Data Science and Machine Learning | Python>ML>applications

• 2020-07-15 01:50:13 | A beginner’s guide to robot programming with Python | Python>ML>applications

• 2020-07-15 01:49:04 | A Practical Introduction to Graphs (Network Diagrams) — Andrew Healey | Python>Vis

• 2020-07-15 01:46:15 | luspr/awesome-ml-courses: Awesome free machine learning and AI courses with video lectures. | MSCE>ML

• 2020-07-15 01:45:42 | Full Stack Deep Learning - Full Stack Deep Learning | Python>ML>neural-deep

• 2020-07-13 08:46:06 | One-click install for Scala | The Scala Programming Language | Tech>SparkScala

• 2020-07-13 08:44:52 | Beyond Risk Parity: The Hierarchical Equal Risk Contribution Algorithm - Hudson & Thames | Finance>Quant

• 2020-07-09 22:38:22 | Training GANs - From Theory to Practice | MSCE>ML

• 2020-07-08 10:04:52 | StaticFrame — StaticFrame 0.6.22 documentation | Python>ML>tools-pkgs-exercises

• 2020-07-08 10:01:42 | Time Series Made Easy in Python — darts documentation | Python>ML>time-series

• 2020-07-07 22:50:26 | Paper Projects · Made With ML | MSCE>ML

• 2020-07-07 20:48:20 | Made With ML | MSCE>ML

• 2020-06-30 16:05:40 | Building AI Trading Systems | Finance>Quant

• 2020-06-30 16:02:57 | Part 1: The Matrix Profile | Python>ML>time-series

• 2020-06-25 18:09:46 | TensorFlow, Keras and deep learning, without a PhD | Python>ML>neural-deep

• 2020-06-25 18:08:51 | Hands-On Linear Programming: Optimization With Python | Python>ML>optimization

• 2020-06-25 12:11:36 | Stock Analysis in Python | Finance>Quant

• 2020-06-23 16:22:58 | Factors tools | BlackRock | Finance>Tools>factors

• 2020-06-23 16:22:22 | What is factor investing? | BlackRock | Finance>Factors

• 2020-06-23 16:22:01 | The Factor Box | BlackRock Web Tools | Finance>Tools>factors

• 2020-06-20 16:29:58 | Neural Networks from Scratch with Python Code and Math in Detail— I | Python>ML>neural-deep

• 2020-06-18 11:44:46 | Step-by-step guide to contributing on GitHub | Tech>VersionControl

• 2020-06-16 20:47:08 | Dexplot | Python>Vis

• 2020-06-16 20:45:39 | tslearn’s documentation | Python>ML>time-series

• 2020-06-14 13:15:10 | rshemet/MarkowitzPortfolioOptimization: Computing a solution for the optimal mean-variance tradeoff (maximising Sharpe Ratio) of a portfolio according to MPT. | Finance>Quant

• 2020-06-07 16:51:53 | ritchieng/the-incredible-pytorch: The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch. | Python>ML>neural-deep

• 2020-06-04 15:28:33 | 3.6 million points, 1 GIF — Visualise big data in Python | Python>Vis

• 2020-06-02 12:44:54 | Let’s Code Convolutional Neural Network in plain NumPy | Python>ML>neural-deep

• 2020-06-01 00:20:06 | Active Learning Tutorial with Python | Python>ML>misc-topics

• 2020-05-31 20:23:42 | Electronic Trading in Financial Markets | edX | Finance>Courses

• 2020-05-31 20:23:30 | Introduction to Market Microstructure - Institut Louis Bachelier | Finance>Courses

• 2020-05-29 20:05:22 | practical-python | dabeaz | Python>Lang>tutorials-resources

• 2020-05-28 11:15:59 | Guide to Concurrency in Python with Asyncio | Python>Lang>multitasking

• 2020-05-21 12:13:59 | A Lightning-Fast Introduction to Deep Learning and TensorFlow 2.0 | Python>ML>neural-deep

• 2020-05-19 15:31:17 | amueller/COMS4995-s20: COMS W4995 Applied Machine Learning | MSCE>ML

• 2020-05-18 17:59:16 | CFA Institute Daily Browse | Finance>CFA

• 2020-05-18 01:18:03 | michaelchu/optopsy: A nimble options backtesting library for Python | Finance>Tools>algo-trading

• 2020-05-17 10:50:30 | C/C++ Certification Exams | C++ Institute | Tech>Certifications

• 2020-05-17 10:49:20 | Python Certifications | Python Institute | Tech>Certifications

• 2020-05-17 00:18:05 | mhallsmoore/qstrader: QuantStart.com - QSTrader backtesting simulation engine. | Finance>Tools>algo-trading

• 2020-05-16 22:14:17 | Investment Management with Python and Machine Learning | Coursera | Tech>Certifications

• 2020-05-16 22:12:42 | Machine Learning and Reinforcement Learning in Finance | Coursera | Tech>Certifications

• 2020-05-16 22:12:34 | Machine Learning for Trading | Coursera | Tech>Certifications

• 2020-05-16 22:11:34 | Deep Learning | Coursera | Tech>Certifications

• 2020-05-16 19:33:11 | Plotly Python Graphing Library | Python | Plotly | Python>Vis

• 2020-05-16 16:59:03 | C++ Institute | C/C++ Certification and Training Programs | Tech>C++

• 2020-05-14 13:24:19 | pandas_alive: animated plotting | Python>Vis

• 2020-05-14 08:28:51 | Realtime audio analysis in Python, using PyAudio and Numpy to extract and visualize FFT features from streaming audio. | Python>AV>audio-music

• 2020-05-12 16:56:47 | Effortless Concurrency with Python’s concurrent.futures | Python>Lang>multitasking

• 2020-05-12 12:31:03 | Exploring Bayesian Optimization | Python>ML>bayesian

• 2020-05-09 23:12:43 | Factor investing insights | BlackRock | Finance>Factors

• 2020-05-09 12:07:47 | Natural Language Processing Recipes: Best Practices and Examples | Python>ML>nlp-llm

• 2020-05-08 17:23:52 | How to Embed Interactive Python Visualizations on Your Website with Python and Matplotlib | Python>Vis

• 2020-05-08 17:21:04 | mpld3 — Bringing Matplotlib to the Browser | Python>Vis

• 2020-05-07 21:07:08 | Browse the State-of-the-Art in Machine Learning | Papers With Code | MSCE>ML

• 2020-05-07 13:37:01 | Calculating Streaks in Pandas | Python>ML>tools-pkgs-exercises

• 2020-05-07 13:33:52 | hudson-and-thames/mlfinlab: MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools. | Finance>Tools

• 2020-05-07 13:32:45 | How to download fundamentals data with Python | Finance>Quant

• 2020-05-07 13:31:46 | Generating Melodies with LSTM Nets: Series Overview - YouTube | Python>AV>audio-music

• 2020-05-07 13:07:31 | Machine Learning & Deep Learning Fundamentals | Python>ML>neural-deep

• 2020-05-06 13:44:34 | Tactical Allocation Channel | ETF Trends | Finance>ETFs

• 2020-05-06 13:44:16 | Multi-Asset Channel | ETF Trends | Finance>ETFs

• 2020-05-06 13:43:59 | Multi-Factor Channel | ETF Trends | Finance>ETFs

• 2020-05-06 13:43:38 | Smart Beta Channel: ETF Trends | Finance>ETFs

• 2020-05-05 22:35:22 | How to Generate FiveThirtyEight Graphs in Python | Python>Vis

• 2020-05-05 21:24:15 | Stock & Bond Markets Today | Edward Jones | Finance>MarketsReview>Daily

• 2020-05-05 16:36:29 | The Best Medium-Hard Data Analyst SQL Interview Questions | Career>InterviewPrep

• 2020-05-05 16:34:14 | Introduction To Python's Functools Module | Python>Lang>tutorials-resources

• 2020-05-04 21:43:22 | Market Commentary | Charles Schwab | Finance>MarketsReview>Daily

• 2020-05-04 21:41:41 | Market analysis and commentary - RBC Wealth Management | Finance>MarketsReview>Daily

• 2020-05-03 21:20:21 | Market Commentary | Northwestern Mutual | Finance>MarketsReview>Weekly

• 2020-05-03 21:19:55 | Economic and Market Commentary | PIMCO | Finance>MarketsReview>Daily

• 2020-05-03 21:18:53 | Market Commentary | Wells Fargo Investment Institute | Finance>MarketsReview>Daily

• 2020-05-03 21:16:23 | Global Weekly Commentary - Insights | BlackRock | Finance>MarketsReview>Weekly

• 2020-05-03 17:39:18 | Full Stack Pandas - memory and styling | Python>ML>tools-pkgs-exercises

• 2020-05-03 17:34:25 | How To Create Auto-Updating Data Visualizations in Python with IEX Cloud, Matplotlib, and AWS | Python>Vis

• 2020-04-30 11:01:56 | InterviewBrainTeasers | Career>InterviewPrep

• 2020-04-29 08:46:59 | The Super Duper NLP Repo | Python>ML>nlp-llm

• 2020-04-25 23:55:28 | hoanhan101/algo: 101+ coding interview problems with detailed solutions, test cases, and program analysis | Career>InterviewPrep

• 2020-04-25 15:37:37 | Python for Finance: A Guide to Quantitative Trading | Finance>Quant

• 2020-04-25 10:53:43 | C++ For Programmers | Tech>C++

• 2020-04-24 14:23:31 | Recreating a Shiny App with Flask | Python>Web>flask

• 2020-04-23 22:12:59 | Scala Exercises | Tech>SparkScala

• 2020-04-23 12:47:20 | The Curious Case of Python’s Context Manager | Red’s Digressions | Python>Lang>tutorials-resources

• 2020-04-23 12:44:20 | Demystifying Python’s Descriptor Protocol - DeepSource | Python>Lang>tutorials-resources

• 2020-04-23 12:42:52 | Ploomber | Robust Jupyter report generation using static analysis | Python>Lang>reporting

• 2020-04-22 16:48:13 | List of Online Courses to Learn Algorithmic Trading and Quantitative Finance | Learn Algorithmic Trading From Experts | Finance>Courses

• 2020-04-14 17:11:07 | lazyprogrammer/machine_learning_examples: A collection of machine learning examples and tutorials. | Python>ML>many-methods

• 2020-04-14 17:02:32 | Example Gallery — Altair 4.1.0 documentation | Python>Vis

• 2020-04-08 18:24:20 | Things I Wish They Told Me About Multiprocessing in Python | Python>Lang>multitasking

• 2020-04-08 18:19:41 | avehtari/BDA_course_Aalto: Bayesian Data Analysis course at Aalto | MSCE>ML

• 2020-04-08 18:18:51 | justmarkham/scikit-learn-tips: Daily scikit-learn tips | Python>ML>tools-pkgs-exercises

• 2020-04-08 18:18:08 | microsoft/forecasting: Time Series Forecasting Best Practices & Examples | Python>ML>time-series

• 2020-04-02 22:50:52 | Building a Neural Network From Scratch Using Python (Part 1) | Python>ML>neural-deep

• 2020-03-31 16:24:33 | How to Calculate Feature Importance With Python | Python>ML>feat-engg-select

• 2020-03-25 11:34:13 | Python Scope & the LEGB Rule: Resolving Names in Your Code | Python>Lang>tutorials-resources

• 2020-03-25 00:12:36 | Generating music in the waveform domain | Python>AV>audio-music

• 2020-03-17 19:16:33 | How to Do a Binary Search in Python | Python>ML>trees-graphs

• 2020-03-13 23:21:17 | ElementsOfDataScience | An introduction to data science in Python, for people with no programming experience. | Python>Lang>tutorials-resources

• 2020-03-05 13:31:39 | Anomaly Detection Using Isolation Forest in Python | Python>ML>trees-graphs

• 2020-03-03 18:08:05 | fastai/fastbook: Deep Learning for Coders with Fastai and PyTorch | MSCE>ML

• 2020-03-03 18:07:35 | ctgk/PRML: PRML algorithms implemented in Python | Python>ML>many-methods

• 2020-02-29 09:42:12 | Audio Data Analysis Using Deep Learning with Python (Part 1) | Python>AV>audio-music

• 2020-02-27 21:44:29 | Overview of Active Learning for Deep Learning | MSCE>ML

• 2020-02-25 16:21:59 | Pycel: Compiling Excel spreadsheets to Python and making pretty pictures | Python>Lang>interop

• 2020-02-20 13:17:56 | Genetic Algorithms Explained : A Python Implementation - By Luiz Rosa | Python>ML>misc-topics

• 2020-02-20 13:15:49 | Tour of python itertools | Python>Lang>tutorials-resources

• 2020-02-18 19:35:35 | Python Tools for Record Linking and Fuzzy Matching | Python>Lang>tutorials-resources

• 2020-02-14 14:37:42 | Documenting Your Project Using Sphinx — an_example_pypi_project v0.0.5 documentation | Python>Lang>packag-docu-distrib

• 2020-02-14 14:37:28 | Python Documentation using Sphinx | Python>Lang>packag-docu-distrib

• 2020-02-06 17:20:39 | Scala for Python developers | Tech>SparkScala

• 2020-02-05 09:52:37 | Audio File Processing: ECG Audio Using Python | Python>AV>audio-music

• 2020-02-04 19:16:48 | 💯 The Big List of Data Science Interview Resources | Career>InterviewPrep

• 2020-02-01 09:16:39 | Async IO in Python: A Complete Walkthrough | Python>Lang>multitasking

• 2020-01-31 22:19:44 | CFA Society New York: Exam Prep | Finance>CFA

• 2020-01-31 22:19:26 | CFA Institute | Finance>CFA

• 2020-01-31 22:19:10 | VividBook.org | Finance>CFA

• 2020-01-31 22:18:58 | AnalystForum | Finance>CFA

• 2020-01-31 22:18:35 | AnalystNotes | Finance>CFA

• 2020-01-31 15:56:10 | Learn Natural Language Processing Tutorials | Kaggle | Python>ML>nlp-llm

• 2020-01-31 06:03:57 | Thinc · A refreshing functional take on deep learning | Python>ML>neural-deep

• 2020-01-30 13:45:55 | Dynamic Programming with Python dataclasses and joblib | Python>Lang>tutorials-resources

• 2020-01-30 11:48:47 | Create Animated Images Using Python | Python>AV>video-movies

• 2020-01-30 11:45:47 | What makes “XGBoost” so Extreme ? | MSCE>ML

• 2020-01-30 11:41:35 | 71 Python Code Snippets for Everyday Problems - The Renegade Coder | Python>Lang>tutorials-resources

• 2020-01-30 09:25:28 | Learn Natural Language Processing with Python and TensorFlow 2.0 – No Machine Learning Experience Required. | Python>ML>nlp-llm

• 2020-01-29 02:20:04 | Dataset Search | Data

• 2020-01-26 07:54:56 | How do Convolutional Neural Networks work? | MSCE>ML

• 2020-01-26 01:11:22 | International Mathematical Olympiad | Career>InterviewPrep

• 2020-01-23 11:57:33 | Scala Cheatsheet | Scala Documentation | Tech>SparkScala

• 2020-01-23 11:16:37 | Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn | Python>ML>misc-topics

• 2020-01-23 11:14:48 | DDSP: Differentiable Digital Signal Processing | MSCE>Engg

• 2020-01-16 11:06:56 | Optimizing Python Code with ctypes | Python>Lang>interop

• 2020-01-16 11:06:26 | From Browser To Django | Python>Web>django

• 2020-01-10 13:42:45 | Scala at Light Speed, Part 3: Functional Programming | Tech>SparkScala

• 2020-01-10 08:51:27 | Parallel programming in Python | Python>Lang>multitasking

• 2020-01-10 08:43:31 | Python 101: iterators, generators, coroutines | Python>Lang>iter-gen-comprehen

• 2020-01-09 19:15:01 | A Practical Guide to Feature Engineering in Python | Tech>SparkScala

• 2020-01-09 19:13:30 | 30 Python Best Practices, Tips, And Tricks | Tech>SparkScala

• 2020-01-09 16:41:50 | Scala 101: a beginner’s guide to the scalable language | Tech>SparkScala

• 2020-01-08 08:37:04 | Mathematical Analysis of Reinforcement Learning — Bellman Optimality Equation | MSCE>ML

• 2020-01-07 18:36:17 | victordibia/anomagram: Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js | Python>Vis

• 2020-01-07 09:54:33 | 3 easy and noninvasive Ways to instantly boost your Python Code Performance | Python>Lang>tutorials-resources

• 2020-01-02 19:10:56 | Making python programs blazingly fast | Python>Lang>tutorials-resources

• 2020-01-02 01:01:26 | AllocateSmartly | Finance>TradingStrategies

• 2019-12-31 15:57:16 | How to use Pandas get_dummies to Create Dummy Variables in Python | Python>ML>tools-pkgs-exercises

• 2019-12-31 15:53:46 | Python Timer Functions: Three Ways to Monitor Your Code | Python>Lang>tutorials-resources

• 2019-12-31 13:42:03 | microsoft/nlp-recipes: Natural Language Processing Best Practices & Examples | Python>ML>nlp-llm

• 2019-12-31 10:08:50 | Using TENSORFLOW 2.0 to Compose Music | Python>AV>audio-music

• 2019-12-26 21:10:29 | A Glossary of Functional Programming | Tech>SparkScala

• 2019-12-26 17:05:28 | 24 Evaluation Metrics for Binary Classification (And When to Use Them) | Python>ML>train-eval-explain-deploy

• 2019-12-24 15:09:08 | Creating Interactive Dashboards from Jupyter Notebooks | Python>Web>apps-dashboards

• 2019-12-24 14:48:20 | How To Make Python Wait | Python>Lang>multitasking

• 2019-12-22 09:35:39 | A small script to get numerical evidence that a function is convex | Python>ML>tools-pkgs-exercises

• 2019-12-19 13:22:07 | MTrajK/coding-problems: Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures | Career>InterviewPrep

• 2019-12-18 09:02:24 | Interpretability: Cracking open the black box, Part 2 | Python>ML>train-eval-explain-deploy

• 2019-12-17 15:17:29 | The Little Book of Python Anti-Patterns — Python Anti-Patterns documentation | Python>Lang>tutorials-resources

• 2019-12-17 15:10:34 | Data Engineer Interview Questions With Python – Real Python | Career>InterviewPrep

• 2019-12-16 15:31:28 | Python: init is not a constructor - DEV Community 👩‍💻👨‍💻 | Python>Lang>tutorials-resources

• 2019-12-16 08:35:15 | Python + Memcached: Efficient Caching in Distributed Applications | Python>Lang>tutorials-resources

• 2019-12-12 19:53:57 | Python Tips and Tricks You Haven't Already Seen, Part 2 | Python>Lang>tutorials-resources

• 2019-12-12 19:52:29 | Python tips and tricks you haven't already seen | Python>Lang>tutorials-resources

• 2019-12-11 17:13:14 | shaypal5/pdpipe: Easy pipelines for pandas DataFrames. | Python>ML>tools-pkgs-exercises

• 2019-12-10 20:40:08 | 8 great pytest plugins | Python>Lang>testing

• 2019-12-10 08:35:08 | Faster Pandas with parallel processing: cuDF vs. Modin | Python>ML>tools-pkgs-exercises

• 2019-12-08 13:21:50 | How to analyse 100 GB of data on your laptop with Python | Python>ML>tools-pkgs-exercises

• 2019-12-08 13:20:43 | Forecasting in Python with Facebook Prophet | Python>ML>time-series

• 2019-12-08 13:17:38 | Property based testing for scientific code in Python | Python>Lang>testing

• 2019-12-08 13:17:15 | A Simple Explanation of the Bag-of-Words Model | Python>ML>nlp-llm

• 2019-12-08 12:53:50 | Evaluating Classification Models, Part 3: Fᵦ and Other Weighted Pythagorean Means of Precision and Recall | Python>ML>train-eval-explain-deploy

• 2019-12-08 12:44:34 | How to document Python code with Sphinx | Python>Lang>packag-docu-distrib

• 2019-12-06 18:41:53 | Testing your python package as installed | Python>Lang>testing

• 2019-12-04 06:15:26 | Insider Monkey | Finance>General

• 2019-12-03 08:36:11 | Dependencies Handling in Python | Python>Lang>packag-docu-distrib

• 2019-12-01 09:07:32 | Profiling Python using cProfile: a concrete case | Python>Lang>tutorials-resources

• 2019-11-30 08:04:13 | Text Encoding: A Review | Python>ML>nlp-llm

• 2019-11-29 07:51:33 | Financial-Models-Numerical-Methods: Collection of notebooks about quantitative finance, with interactive python code. | Finance>Quant

• 2019-11-26 06:18:20 | An Introduction to Confident Learning: Finding and Learning with Label Errors in Datasets | Python>ML>misc-topics

• 2019-11-26 06:14:26 | Pandas GroupBy: Your Guide to Grouping Data in Python | Python>ML>tools-pkgs-exercises

• 2019-11-26 05:12:15 | The definitive guide on how to use static, class or abstract methods in Python | Python>Lang>oo-meta

• 2019-11-23 11:11:32 | How to Speed up Pandas by 4x with one line of code | Python>ML>tools-pkgs-exercises

• 2019-11-22 15:22:24 | 3 Ways to Encode Categorical Variables for Deep Learning | Python>ML>feat-engg-select

• 2019-11-22 12:03:47 | Shape matching with time series data | Python>ML>time-series

• 2019-11-20 08:27:32 | How to apply machine learning and deep learning methods to audio analysis | Python>AV>audio-music

• 2019-11-14 17:31:40 | Overview of Matrix Factorization Techniques using Python | Python>ML>misc-topics

• 2019-11-14 17:30:20 | Dijkstra’s Shortest Path Algorithm in Python | Python>ML>trees-graphs

• 2019-11-14 11:43:50 | wallmine – Finance & Investing | Finance>MarketsLive

• 2019-11-14 11:06:31 | The Options Industry Council (OIC) | Finance>Options

• 2019-11-14 11:05:29 | How and Why to Invest in Bonds: A Morningstar View | Finance>FixedIncome

• 2019-11-14 06:44:20 | Research | TABB Group | Finance>Research

• 2019-11-14 06:43:34 | Performance Measurement & Attribution | FactSet | Finance>General

• 2019-11-14 06:42:06 | EDHEC Risk Institute | Finance>General

• 2019-11-12 15:55:58 | Python & OpenGL for Scientific Visualization | Python>Vis

• 2019-11-10 18:12:16 | ETF Watch | ETF.com | Finance>ETFs

• 2019-11-10 18:12:12 | Journal Of Indexes | ETF.com | Finance>ETFs

• 2019-11-10 18:11:57 | ETF Strategist Corner | ETF.com | Finance>ETFs

• 2019-11-10 18:11:53 | Index Investor Corner | ETF.com | Finance>ETFs

• 2019-11-10 18:10:14 | ETF Education | Finance>ETFs

• 2019-11-10 18:09:56 | ETF News | Finance>ETFs

• 2019-11-10 18:09:02 | The Journal of Index Investing | Finance>Indexing

• 2019-11-10 18:08:34 | Indexology Blog | Finance>Indexing

• 2019-11-10 15:17:37 | FINVIZ.com - Stock Screener | Finance>MarketsLive

• 2019-11-07 06:04:40 | Generative Adversarial Networks  |  Google Developers | Python>ML>misc-topics

• 2019-11-07 06:03:26 | rasbt/stat479-machine-learning-fs19: Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison | Python>ML>many-methods

• 2019-11-07 06:00:17 | stat479-machine-learning-fs19/11-eval4-algo__nested-cv_compact.ipynb at master · rasbt/stat479-machine-learning-fs19 | Python>ML>train-eval-explain-deploy

• 2019-11-06 14:53:01 | Common Data Mistakes to Avoid | MSCE>ML

• 2019-11-06 08:56:58 | Time Series Forecasting as Supervised Learning | Python>ML>time-series

• 2019-11-05 17:54:18 | Understanding UMAP | MSCE>ML

• 2019-11-05 17:41:25 | Build a Mobile Application With the Kivy Python Framework | Python>Lang>gui-dev

• 2019-11-05 08:04:59 | ml-coursera-python-assignments: Python assignments for the machine learning class | Python>ML>many-methods

• 2019-10-31 21:13:08 | Streamlit — the fastest way to build custom ML tools | Python>Web>apps-dashboards

• 2019-10-31 21:11:32 | A Grammar of Graphics for Python — plotnine | Python>Vis

• 2019-10-30 10:11:46 | Intro to Adversarial Machine Learning and Generative Adversarial Networks | MSCE>ML

• 2019-10-30 10:04:00 | Time Series Analysis: A Simple Example with KNIME and Spark | Python>ML>time-series

• 2019-10-29 17:53:59 | Dockerizing Flask with Postgres, Gunicorn, and Nginx | Python>Web>flask

• 2019-10-29 12:49:39 | Introduction to Adversarial Machine Learning | MSCE>ML

• 2019-10-24 16:14:22 | Algorithmic trading based on Technical Analysis in Python | Finance>Quant

• 2019-10-22 15:54:15 | Easy Concurrency in Python | Python>Lang>multitasking

• 2019-10-22 09:03:32 | Time Series Prediction - A short introduction for pragmatists | Python>ML>time-series

• 2019-10-17 18:55:27 | Well-Typed Reflections | Python>Lang>tutorials-resources

• 2019-10-17 18:04:05 | A little bit of Data Science in Scala | Tech>SparkScala

• 2019-10-17 08:20:55 | Big-O Algorithm Complexity Cheat Sheet (Know Thy Complexities!) | Career>InterviewPrep

• 2019-10-15 21:00:21 | sotabench: Benchmarking Every Open Source Model | Python>ML>train-eval-explain-deploy

• 2019-10-14 21:45:55 | Top 10 Algorithms for Coding Interview | Career>InterviewPrep

• 2019-10-14 19:28:43 | HackerRank_solutions: 317 efficient solutions to HackerRank problems | Career>InterviewPrep

• 2019-10-11 14:37:38 | Compiler Explorer | Tech>C++

• 2019-10-11 14:37:11 | Coliru | Tech>C++

• 2019-10-10 19:17:06 | python-ds: data-structures questions | Career>InterviewPrep

• 2019-10-10 19:16:10 | Ahmed BESBES - Data Science Portfolio – Introduction to AutoML with MLBox | Python>ML>misc-topics

• 2019-10-10 19:14:42 | TensorFlow 2.0 + Keras Crash Course.ipynb - Colaboratory | Python>ML>neural-deep

• 2019-10-08 16:30:19 | Simplex algorithm: Maximization problems | Python>ML>misc-topics

• 2019-10-08 13:22:12 | Turn Python Scripts into Beautiful ML Tools | Python>ML>tools-pkgs-exercises

• 2019-10-08 13:15:35 | sktime: A scikit-learn compatible Python toolbox for learning with time series data | Python>ML>time-series

• 2019-10-08 08:35:08 | 21 Best Websites To Get Programming Jobs In 2019 | Career>JobSearch

• 2019-10-07 19:17:34 | 10 Free Top Notch Natural Language Processing Courses | Python>ML>nlp-llm

• 2019-10-06 10:39:43 | 101 Coding Problems and few Tips to Crack Your Next Programming Interviews | Career>InterviewPrep

• 2019-10-05 23:12:52 | 20+ basic Algorithms Problems from Coding Interviews | Career>InterviewPrep

• 2019-10-05 22:20:00 | Coderbyte | Career>InterviewPrep

• 2019-10-05 22:03:18 | Codewars | Career>InterviewPrep

• 2019-10-03 13:41:53 | Don’t Sweat the Solver Stuff | Python>ML>misc-topics

• 2019-10-03 13:39:37 | How To Perform Sentiment Analysis in Python 3 Using the Natural Language Toolkit (NLTK) | Python>ML>nlp-llm

• 2019-10-02 08:25:28 | Natural Language in Python using spaCy: An Introduction | Python>ML>nlp-llm

• 2019-10-01 23:20:44 | Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know | Python>Lang>tutorials-resources

• 2019-09-30 06:03:49 | 101 Data Science Interview Questions | Interview Prep | Career>InterviewPrep

• 2019-09-26 14:26:22 | Automated reports with Jupyter Notebooks (using Jupytext and Papermill) | Python>Lang>reporting

• 2019-09-23 16:49:58 | LeetCode - The World's Leading Online Programming Learning Platform | Career>InterviewPrep

• 2019-09-23 08:09:31 | Cracking the Machine Learning Interview | Career>InterviewPrep

• 2019-09-22 17:23:03 | 101 NumPy Exercises for Data Analysis (Python) | Python>ML>tools-pkgs-exercises

• 2019-09-19 21:06:00 | ml-tooling/ml-workspace: 🛠 All-in-one web-based IDE specialized for machine learning and data science. | Tech>Containers

• 2019-09-19 13:32:02 | Introduction to machine learning in Python with scikit-learn (video series) | Python>ML>many-methods

• 2019-09-16 21:14:33 | Multiprocessing vs. Threading in Python: What Every Data Scientist Needs to Know | Python>Lang>tutorials-resources

• 2019-09-16 21:11:58 | Expert python topics you should know | Python>Lang>tutorials-resources

• 2019-09-16 21:07:09 | Master Python's pandas library with these 60+ tricks | Python>ML>tools-pkgs-exercises

• 2019-09-14 22:51:06 | Python Libraries for Interpretable Machine Learning | Python>ML>train-eval-explain-deploy

• 2019-09-14 16:39:28 | Python Interview Questions | Interview Cake | Career>InterviewPrep

• 2019-09-12 18:31:40 | Getting to your dream job: 10 points in how to beat the HackerRank Challenge. | Career>InterviewPrep

• 2019-09-09 23:46:16 | HackerRank | Career>InterviewPrep

• 2019-09-08 08:25:26 | modAL: A modular active learning framework for Python3 | Python>ML>misc-topics

• 2019-09-08 08:25:07 | Active Learning Tutorial | Python>ML>misc-topics

• 2019-09-08 08:23:44 | ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods. | Python>ML>misc-topics

• 2019-09-08 08:22:25 | Introduction to Active Learning | Python>ML>misc-topics

• 2019-09-07 12:10:44 | Your Guide to the CPython Source Code – Real Python | Python>Lang>tutorials-resources

• 2019-09-06 07:54:57 | C++ for Python Programmers | Tech>C++

• 2019-09-05 19:37:23 | timeseriescv: Scikit-learn style cross-validation classes for time series data | Python>ML>time-series

• 2019-09-05 19:05:57 | Neural Network In Python: Introduction, Structure and Trading Strategies | Python>ML>neural-deep

• 2019-09-05 17:26:59 | google/tf-quant-finance: High-performance TensorFlow library for quantitative finance. | Finance>Quant

• 2019-09-05 17:23:50 | OpenCV - Stream video to web browser/HTML page | Python>AV>video-movies

• 2019-09-05 16:29:53 | Master Python's pandas library with these 50+ tricks | Python>ML>tools-pkgs-exercises

• 2019-09-04 21:03:50 | 4 Use Cases for When to Use Celery in a Flask Application | Python>Lang>multitasking

• 2019-09-04 20:14:56 | Feature extraction and similar image search with OpenCV for newbies | Python>ML>feat-engg-select

• 2019-09-04 08:45:51 | Natural Language Processing With spaCy in Python – Real Python | Python>ML>nlp-llm

• 2019-09-04 08:45:07 | Feature-engine: A Feature Engineering for Machine Learning library — feature-engine 0.3.0 documentation | Python>ML>feat-engg-select

• 2019-09-02 19:56:22 | Stream video to web browser/HTML page with OpenCV | Python>AV>video-movies

• 2019-09-02 10:15:53 | awesome-python-applications | Python>Lang>applications

• 2019-08-29 18:41:35 | Handling Imbalanced Datasets with SMOTE in Python | Python>ML>train-eval-explain-deploy

• 2019-08-29 18:40:50 | Positional-only arguments in Python | Python>Lang>tutorials-resources

• 2019-08-28 17:11:20 | 101 Machine Learning Algorithms for Data Science | Python>ML>many-methods

• 2019-08-22 22:57:09 | Cracking the Box: Interpreting Black Box Machine Learning Models | Python>ML>train-eval-explain-deploy

• 2019-08-22 08:12:55 | uwdata/visualization-curriculum: data visualization with Altair + Python | Python>Vis

• 2019-08-20 17:34:31 | Simple Scene Boundary/Shot Transition Detection with OpenCV | Python>AV>video-movies

• 2019-08-14 08:55:13 | Keras for Beginners: Implementing a Convolutional Neural Network | Python>ML>neural-deep

• 2019-08-14 08:54:49 | Inheritance and Composition: A Python OOP Guide | Python>Lang>oo-meta

• 2019-08-14 08:46:42 | matplotlib-cheatsheet | Python>Vis

• 2019-08-08 17:51:17 | Keras Learning Rate Finder | Python>ML>neural-deep

• 2019-08-07 21:10:31 | handout: Turn Python scripts into handouts with Markdown and figures | Python>Lang>reporting

• 2019-08-07 15:24:43 | First Steps With PySpark and Big Data Processing | Python>Lang>bigdata-processing

• 2019-08-06 18:16:12 | Understanding Decision Trees for Classification (Python) | Python>ML>trees-graphs

• 2019-08-05 08:48:26 | stratx: Python library for A Stratification Approach to Partial Dependence for Codependent Variables | Python>ML>misc-topics

• 2019-08-03 09:35:48 | Tutorial: Amazon price tracker using Python and MongoDB (Part 1) | Python>Web>apps-dashboards

• 2019-08-03 09:31:59 | How and why I got 75Gb of free foreign exchange “Tick” data. | Finance>Quant

• 2019-08-03 09:28:43 | Optimize Python | Python>Lang>tutorials-resources

• 2019-08-03 09:26:29 | Cyclical Learning Rates with Keras and Deep Learning | Python>ML>neural-deep

• 2019-08-02 11:05:30 | Time Series - Machine Learning Mastery | Python>ML>time-series

• 2019-08-02 11:02:24 | Time Series Analysis in Python - A Comprehensive Guide with Examples | Python>ML>time-series

• 2019-08-02 06:28:00 | A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair) | Python>Vis

• 2019-08-01 23:51:34 | ScalaCollider: Sound synthesis and signal processing client for SuperCollider | Tech>SparkScala

• 2019-08-01 19:12:00 | Introducing tf-explain, Interpretability for TensorFlow 2.0 | Python>ML>neural-deep

• 2019-07-31 04:33:37 | Statistical Rethinking with PyMC3 | Python>ML>bayesian

• 2019-07-30 18:54:08 | The Machine Learning Approach for Analysis of Sound Scenes and Events | Python>AV>audio-music

• 2019-07-30 18:33:30 | awesome-production-machine-learning | MSCE>ML

• 2019-07-30 18:25:56 | google-cloud cheat sheet | Tech>Cloud

• 2019-07-30 18:20:07 | Best Python Libraries/Packages for Finance and Financial Data Scientists | Finance>Quant

• 2019-07-30 17:19:49 | Neural Networks From Scratch | Python>ML>neural-deep

• 2019-07-30 17:19:06 | 4 Attempts at Packaging Python as an Executable | Python>Lang>packag-docu-distrib

• 2019-07-29 08:11:07 | Exposing your data science project to the world — Flask with Waitress! | Python>Web>flask

• 2019-07-28 08:42:20 | snoop: python debugging tool | Python>Lang>debug-log-except

• 2019-07-27 08:40:57 | WhaleWisdom: Track Hedge Funds Using 13F Filings | Data>finance>filings

• 2019-07-27 08:40:46 | IAPD - Investment Adviser Public Disclosure - Homepage | Data>finance>filings

• 2019-07-27 08:40:21 | SEC.gov | Company Search Page | Data>finance>filings

• 2019-07-26 15:06:09 | An Introduction to Recurrent Neural Networks for Beginners | Python>ML>neural-deep

• 2019-07-24 19:00:44 | Plotly.py 4.0 is here: Offline Only, Express First, Displayable Anywhere | Python>Vis

• 2019-07-24 18:54:44 | Hands On Bayesian Statistics with Python, PyMC3 & ArviZ | Python>ML>bayesian

• 2019-07-24 08:48:44 | fuzzywuzzy: fuzzy string matching in Python | Python>Lang>applications

• 2019-07-23 23:44:51 | Data School's Top 25 Pandas Tricks (video) | Python>ML>tools-pkgs-exercises

• 2019-07-23 23:44:08 | Video classification with Keras and Deep Learning - PyImageSearch | Python>AV>video-movies

• 2019-07-23 23:43:07 | Spark: Scala UDF vs PySpark UDF vs Pandas UDF | Tech>SparkScala

• 2019-07-23 18:08:42 | 9 Data Visualization Techniques You Should Learn in Python | Python>Vis

• 2019-07-23 17:39:54 | Automated Report Generation with Papermill: Part 1 - Practical Business Python | Python>Lang>reporting

• 2019-07-23 09:01:12 | Python vs. Scala: a comparison of the basic commands | Tech>SparkScala

• 2019-07-22 21:41:02 | The "Python Machine Learning (2nd edition)" book code repository and info resource | Python>ML>many-methods

• 2019-07-22 17:48:47 | Deep Convolutional Q-Learning with Python and TensorFlow 2.0 | Python>ML>neural-deep

• 2019-07-22 08:35:06 | homemade-machine-learning: 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained | Python>ML>many-methods

• 2019-07-22 08:32:15 | Machine learning, in numpy | Python>ML>many-methods

• 2019-07-22 07:56:39 | How to set up automatic updates for Ubuntu Linux 18.04 - nixCraft | Tech>LinuxUbuntu

• 2019-07-20 22:32:38 | Best Math Podcasts (2019) | MSCE>Math

• 2019-07-17 21:08:52 | StanfordNLP 0.2.0 - Python NLP Library for Many Human Languages | StanfordNLP | Python>ML>nlp-llm

• 2019-07-17 12:09:31 | The Python Celery Cookbook: Small Tool, Big Possibilities | Python>Lang>tutorials-resources

• 2019-07-17 11:38:37 | Create a Flask Application With Google Login | Python>Web>flask

• 2019-07-16 17:56:39 | benedekrozemberczki/awesome-gradient-boosting-papers: A curated list of gradient boosting research papers with implementations. | MSCE>ML

• 2019-07-16 17:56:30 | benedekrozemberczki/awesome-decision-tree-papers: A collection of research papers on decision, classification and regression trees with implementations. | MSCE>ML

• 2019-07-16 17:56:22 | benedekrozemberczki/awesome-graph-classification: A collection of important graph embedding, classification and representation learning papers with implementations. | MSCE>ML

• 2019-07-16 12:55:04 | Logistic Regression from Bayes' Theorem | MSCE>ML

• 2019-07-16 12:54:14 | mihail911/nlp-library | MSCE>ML

• 2019-07-15 17:34:20 | Finance and Python | Finance>Quant

• 2019-07-10 08:39:17 | What Is Dynamic Programming With Python Examples | Python>ML>misc-topics

• 2019-07-09 23:06:35 | Classical Time-Series vs Machine Learning Methods | Python>ML>time-series

• 2019-07-09 13:35:55 | Anomaly Detection for Dummies | Python>ML>misc-topics

• 2019-07-09 13:34:11 | [Course]: A Code-First Introduction to Natural Language Processing · fast.ai | MSCE>ML

• 2019-07-03 00:18:21 | realpython/materials: Bonus materials, exercises, and example projects for our Python tutorials | Python>Lang>tutorials-resources

• 2019-07-02 21:53:36 | How to Make a Smart Baby Monitor with Python, Raspberry Pi, Twilio SMS, and Peripheral Sensors | Python>ML>applications

• 2019-07-02 21:52:32 | Machine Learning for Signature Detection | Python>ML>trees-graphs

• 2019-07-02 18:00:27 | [Raspberry Pi] How to Build a Robot: A Step-by-Step Guide for Beginners | Python>ML>applications

• 2019-06-28 23:09:07 | The Flask Mega-Tutorial Part XVII: Deployment on Linux | Python>Web>flask

• 2019-06-28 14:28:49 | Prediction at Scale with scikit-learn and PySpark Pandas UDFs | Python>ML>tools-pkgs-exercises

• 2019-06-26 08:39:28 | ARIMA Model - Complete Guide to Time Series Forecasting in Python | Python>ML>time-series

• 2019-06-26 08:36:01 | Building Standalone Python Applications with PyOxidizer | Python>Lang>packag-docu-distrib

• 2019-06-23 23:42:19 | Understanding Gradient Boosting Machines — using XGBoost and LightGBM parameters | Python>ML>trees-graphs

• 2019-06-20 23:37:01 | Smile - Statistical Machine Intelligence and Learning Engine | Tech>SparkScala

• 2019-06-20 17:49:35 | Long Short-Term Memory: From Zero to Hero with PyTorch | Python>ML>time-series

• 2019-06-18 17:55:27 | Dynamic Programming with Python | Python>ML>applications

• 2019-06-11 18:22:23 | rasbt/deeplearning-models: A collection of various deep learning architectures, models, and tips | Python>ML>neural-deep

• 2019-06-10 02:21:45 | How I made top 0.3% on a Kaggle competition | Python>ML>misc-topics

• 2019-06-08 10:36:46 | A Step by Step Backpropagation Example | MSCE>ML

• 2019-06-06 21:52:21 | Github Topic: options-trading | Finance>Quant

• 2019-06-06 20:50:30 | Quickstart — MLflow 1.0.0 documentation | Python>ML>tools-pkgs-exercises

• 2019-06-06 19:06:12 | PyViz: Simplifying the Data Visualisation Process in Python | Python>Vis

• 2019-06-06 14:10:32 | Production Recipes: Flask App | Python>Web>flask

• 2019-06-06 06:14:47 | MelNet - Audio Samples | Python>AV>audio-music

• 2019-06-05 21:58:18 | AI cheatsheets | Python>ML>many-methods

• 2019-06-05 21:57:23 | A high-level app and dashboarding solution for Python | Python>Vis

• 2019-06-04 19:41:47 | Accuracy: from classification to clustering evaluation | Python>ML>train-eval-explain-deploy

• 2019-06-04 06:37:16 | 7 Steps to Mastering Intermediate Machine Learning with Python | Python>ML>many-methods

• 2019-05-31 08:27:52 | Machine Learning Course with Python | Python>ML>many-methods

• 2019-05-18 20:02:32 | PyTorch internals : Inside 245-5D | Python>ML>tools-pkgs-exercises

• 2019-05-18 08:45:15 | Extreme Rare Event Classification using Autoencoders in Keras | Python>ML>misc-topics

• 2019-05-17 08:37:43 | Exploring Stock Price Movements After Major Events | Finance>Quant

• 2019-05-14 17:54:56 | Stylin’ with Pandas | Python>ML>tools-pkgs-exercises

• 2019-05-14 17:54:02 | Things you're probably not using in Python 3 - but should | Python>Lang>tutorials-resources

• 2019-05-14 17:49:58 | Playing and Recording Sound in Python – Real Python | Python>AV>audio-music

• 2019-05-03 08:57:44 | Python for NLP: Introduction to the Pattern Library | Python>ML>nlp-llm

• 2019-05-02 08:35:21 | The little gems of Scala standard library | Tech>SparkScala

• 2019-04-27 18:58:38 | Machine Learning Explainability | Python>ML>train-eval-explain-deploy

• 2019-04-24 18:45:37 | Hamiltonian Monte Carlo from scratch | Python>ML>misc-topics

• 2019-04-24 18:42:40 | Advanced NLP with spaCy · A free online course | Python>ML>nlp-llm

• 2019-04-24 18:31:26 | Python Learning Paths – Real Python | Python>Lang>tutorials-resources

• 2019-04-20 15:27:58 | Python resources for data science. | Python>ML>tools-pkgs-exercises

• 2019-04-20 15:00:48 | GitHub - vaexio/vaex: Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second. | Python>ML>tools-pkgs-exercises

• 2019-04-20 13:12:15 | A graphical introduction to dynamic programming | MSCE>Stat

• 2019-04-09 17:47:38 | Getting Python and wxPython apps into the Ubuntu app store | Python>Lang>gui-dev

• 2019-04-09 11:27:37 | Comprehensive Python Cheatsheet | Python>Lang>tutorials-resources

• 2019-04-05 12:15:58 | Probabilistic Graphical Models cs228 Stanford course notes | MSCE>Stat

• 2019-04-02 17:30:39 | Sorting Algorithms in Python | Python>Lang>tutorials-resources

• 2019-03-31 12:46:52 | Random Forest Algorithm In Trading Using Python | Finance>Quant

• 2019-03-30 23:02:30 | Open Machine Learning Course mlcourse.ai • mlcourse.ai | Python>AV>audio-music

• 2019-03-28 12:40:54 | Generate Piano Instrumental Music by Using Deep Learning | Python>AV>audio-music

• 2019-03-21 04:35:01 | Algorithmic Trading Strategies, Paradigms and Modelling Ideas | Finance>Quant

• 2019-03-20 13:14:15 | Viewing Matrices & Probability as Graphs | MSCE>Stat

• 2019-03-19 23:31:41 | How to Build a Python GUI Application With wxPython | Python>Lang>gui-dev

• 2019-03-18 22:23:42 | DBnomics | Data>finance>economic

• 2019-03-16 22:48:10 | A gentle introduction to multithreading | MSCE>CS

• 2019-03-10 23:44:04 | Super Crash Course in Full Stack Web Development with Python and Django | Python>Web>django

• 2019-03-10 11:15:06 | RNN, LSTM, GRU For Trading | Finance>Quant

• 2019-03-09 10:58:40 | Machine Learning for Beginners: An Introduction to Neural Networks | MSCE>ML

• 2019-03-06 20:48:16 | [Book] Dive into Deep Learning: An Interactive Book with Math, Code, and Discussions | MSCE>ML

• 2019-02-27 17:53:03 | What the mock? - A cheatsheet for mocking in Python | Python>Lang>testing

• 2019-02-12 22:01:49 | Python Itertools: For a faster and memory efficient code | Python>Lang>iter-gen-comprehen

• 2019-02-12 21:32:58 | Problem Solving with Algorithms and Data Structures using Python | Python>Lang>tutorials-resources

• 2019-02-10 08:25:08 | MIT Deep Learning Basics: Introduction and Overview with TensorFlow | MSCE>ML

• 2019-02-10 02:07:54 | Python For Finance: Algorithmic Trading | Finance>Quant

• 2019-02-07 18:41:15 | HFT-like Trading Algorithm in 300 Lines of Code You Can Run Now | Finance>Quant

• 2019-02-02 16:50:33 | PyViz: Simplifying the Data Visualisation process in Python. | Python>Vis

• 2019-02-02 07:29:07 | Papers With Code : the latest in machine learning | MSCE>ML

• 2019-01-31 22:37:10 | Stacks and Queues in Python | Python>Lang>tutorials-resources

• 2019-01-29 10:58:25 | The Most Intuitive and Easiest Guide for CNN | MSCE>ML

• 2019-01-24 18:19:33 | Tutorial: Time Series Analysis with Pandas | Python>ML>time-series

• 2019-01-23 17:57:35 | Using the latest advancements in deep learning to predict stock price movements | Python>ML>applications

• 2019-01-19 08:51:13 | 10 Audio Processing Projects to start with Deep Learning Applications | MSCE>ML

• 2019-01-12 12:44:27 | zziz/pwc: Papers with code. Sorted by stars. Updated weekly. | MSCE>ML

• 2019-01-09 12:56:40 | Setting up a Spark machine learning project with Scala, sbt and MLlib | Tech>SparkScala

• 2019-01-09 12:33:53 | Scala Best Practices - Foreword | Tech>SparkScala

• 2018-12-25 10:42:36 | TestDriven.io - Developing a Single Page App with Flask and Vue.js | Python>Web>apps-dashboards

• 2018-12-04 18:12:08 | wtfpython: A collection of surprising Python snippets and lesser-known features. | Python>Lang>tutorials-resources

• 2018-12-04 18:11:26 | Python interview questions. Part I. Junior | Python>Lang>tutorials-resources

• 2018-11-29 18:13:19 | Best Practices for Using Functional Programming in Python | Python>Lang>func-prog

• 2018-11-22 23:13:04 | Scikit-learn Tutorial: Machine Learning in Python | Python>ML>tools-pkgs-exercises

• 2018-11-14 08:38:17 | [BookRepo] Grokking-Deep-Learning: repository for book "Grokking Deep Learning" | MSCE>ML

• 2018-11-14 08:34:17 | Model evaluation, model selection, and algorithm selection in machine learning | Python>ML>train-eval-explain-deploy

• 2018-11-14 08:32:16 | ML Resources | MSCE>ML

• 2018-11-10 10:13:08 | Getting started with functional programming in Python using the toolz library | Python>Lang>func-prog

• 2018-11-07 02:02:09 | Diving into Pandas is Faster than Reinventing it | Python>ML>tools-pkgs-exercises

• 2018-11-01 18:34:14 | Parallel Processing in Python - A Practical Guide with Examples | Python>Lang>multitasking

• 2018-10-21 12:52:18 | A gentle introduction to reinforcement learning or what to do when you don't know what to do | Python>ML>misc-topics

• 2018-10-19 09:50:54 | TensorFlow-Course: Simple and ready-to-use tutorials for TensorFlow | MSCE>ML

• 2018-10-19 09:49:37 | How to Become an NLP-Expert | MSCE>ML

• 2018-10-16 18:47:16 | Camelot: PDF Table Extraction for Humans | Python>Lang>interop

• 2018-10-12 03:39:15 | How to visualize decision trees | Python>Vis

• 2018-10-02 08:12:25 | Apertio: find open datasets | Data

• 2018-09-30 09:21:54 | Forecasting at Uber: An Introduction | MSCE>ML

• 2018-09-26 19:04:47 | UCR Matrix Profile Page | MSCE>ML

• 2018-09-19 08:51:31 | notation: rendering music notation in python | Python>AV>audio-music

• 2018-09-13 13:36:39 | Project Python | Python>Lang>tutorials-resources

• 2018-09-13 13:35:19 | Deep learning Tutorial for Video Classification using Python | Python>AV>video-movies

• 2018-09-12 16:17:13 | A Short Summary of Smoothing Algorithms - Open Data Science - Your News Source for AI, Machine Learning & more | MSCE>Stat

• 2018-09-05 17:40:04 | Making Music: When Simple Probabilities Outperform Deep Learning | Python>AV>audio-music

• 2018-09-04 18:34:52 | kennethreitz/pytheory: Music Theory for Humans. | Python>AV>audio-music

• 2018-09-04 18:34:03 | Python Pandas: Tricks & Features You May Not Know | Python>Lang>tutorials-resources

• 2018-09-04 18:26:01 | An A-Z of useful Python tricks | Python>Lang>tutorials-resources

• 2018-09-02 12:12:31 | 21 Steps to Get Started with Apache Spark using Scala | Tech>SparkScala

• 2018-08-30 16:48:50 | trekhleb/learn-python: 📚 Playground and cheatsheet for learning Python | Python>Lang>tutorials-resources

• 2018-08-30 08:59:51 | The 10 Neural Network Architectures Machine Learning Researchers Need To Learn | MSCE>ML

• 2018-08-30 03:13:23 | Foundations of Machine Learning | MSCE>ML

• 2018-08-29 16:12:00 | Parallel Programming with Python | Python>Lang>tutorials-resources

• 2018-08-26 08:38:08 | Machine Learning Cheatsheet | MSCE>ML

• 2018-08-25 15:56:16 | Primer on Python Decorators | Python>Lang>tutorials-resources

• 2018-08-18 12:07:10 | kalealex/jobs-report-hops: This repository contains supplemental materials for the IEEE InfoVis 2018 submission "Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data". | Python>Lang>tutorials-resources

• 2018-08-14 19:05:28 | Python Lists in Depth | Python>Lang>tutorials-resources

• 2018-08-14 19:02:15 | Deep-Learning-World | MSCE>ML

• 2018-08-09 17:52:10 | Awesome Python features explained using the world of Harry Potter | Python>Lang>tutorials-resources

• 2018-07-29 07:47:29 | Genetic Algorithm Implementation in Python | Python>ML>misc-topics

• 2018-07-29 07:46:56 | A Beginner's Guide to Python Testing | Python>Lang>testing

• 2018-07-27 14:00:24 | learn-python3: Jupyter notebooks for teaching/learning Python 3 | Python>Lang>tutorials-resources

• 2018-07-27 13:59:07 | The Sheer Joy of Packaging | Python>Lang>packag-docu-distrib

• 2018-07-17 18:18:59 | Seedbank: machine learning examples | MSCE>ML

• 2018-07-10 15:58:46 | Microsoft Research Open Data | Data

• 2018-07-10 15:56:25 | Data Science Glossary on Kaggle | MSCE>ML

• 2018-07-04 18:26:51 | A Comprehensive Guide to Ensemble Learning (with Python codes) | Python>ML>trees-graphs

• 2018-07-03 15:41:11 | Tensorflow: The Confusing Parts (1) | Python>ML>tools-pkgs-exercises

• 2018-06-28 11:51:56 | Convolutional Neural Networks from the ground up | MSCE>ML

• 2018-06-28 08:56:28 | Python Cheatsheet | Python>Lang>tutorials-resources

• 2018-06-25 19:32:30 | awesome-public-datasets: A topic-centric list of high-quality open datasets in public domains. | Data

• 2018-06-24 16:12:11 | Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks | MSCE>ML

• 2018-06-21 05:38:22 | handson-ml: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow. | Python>ML>tools-pkgs-exercises

• 2018-06-19 17:09:32 | The 50 Best Free Datasets for Machine Learning | Data>ml-datascience

• 2018-06-12 16:50:57 | Beyond Numpy Arrays in Python | Python>ML>tools-pkgs-exercises

• 2018-06-12 08:04:32 | Reinforcement Q-Learning from Scratch in Python with OpenAI Gym | Python>ML>misc-topics

• 2018-06-08 19:35:13 | Temporal Difference Learning in Python | Python>ML>misc-topics

• 2018-06-08 19:29:08 | 101 Pandas Exercises for Data Analysis | Python>ML>tools-pkgs-exercises

• 2018-06-07 14:29:04 | Automated Feature Engineering in Python | Python>ML>feat-engg-select

• 2018-05-31 11:13:14 | Itertools in Python 3, By Example | Python>Lang>iter-gen-comprehen

• 2018-05-30 22:20:46 | CNN Markets | Finance>MarketsLive

• 2018-05-30 22:20:02 | CNBC Markets | Finance>MarketsLive

• 2018-05-30 22:19:19 | MarketWatch | Finance

• 2018-05-28 13:20:19 | Intermediate Python — Python Tips 0.1 documentation | Python>Lang>tutorials-resources

• 2018-05-23 08:08:41 | easy-tensorflow: Simple and comprehensive tutorials in TensorFlow | Python>ML>tools-pkgs-exercises

• 2018-05-09 09:21:56 | Building Bullet Graphs and Waterfall Charts with Bokeh | Python>Vis

• 2018-05-09 09:16:23 | Exporting Data from PDFs with Python | Python>Lang>tutorials-resources

• 2018-05-05 09:41:11 | Interpretable Machine Learning with Python | Python>ML>train-eval-explain-deploy

• 2018-05-02 17:06:31 | Finding out which features contributed to each row's prediction | Python>ML>train-eval-explain-deploy

• 2018-04-30 13:01:27 | BenLangmead/c-cpp-notes: Lecture notes and example code for teaching C & C++ | Tech>C++

• 2018-04-25 14:17:59 | Pipenv: A Guide to the New Python Packaging Tool | Python>Lang>packag-docu-distrib

• 2018-04-25 14:17:23 | Python Modules and Packages – An Introduction | Python>Lang>packag-docu-distrib

• 2018-04-25 14:16:46 | Getting started with Python testing | Python>Lang>testing

• 2018-04-18 13:17:10 | Assertions and Exceptions | Python>Lang>debug-log-except

• 2018-04-18 05:57:42 | Earnings Calendar - Zacks | Finance

• 2018-04-13 13:58:13 | Visualizing Beethoven’s Oeuvre, Part I: Scraping and cleaning data from IMSLP | Python>AV>audio-music

• 2018-03-30 18:05:17 | The definitive guide to Python exceptions | Python>Lang>debug-log-except

• 2018-03-29 14:11:20 | Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian F | Python>ML>misc-topics

• 2018-03-28 05:11:19 | Featuretools | An open source framework for automated feature engineering | Python>ML>tools-pkgs-exercises

• 2018-03-27 18:10:41 | An Introduction to Altair | Python>Vis

• 2018-03-27 18:08:49 | Monte Carlo Tree Search - beginners guide | MSCE>ML

• 2018-03-27 18:07:41 | Fast-Pandas: Benchmark for different operations in pandas against various dataframe sizes. | Python>ML>tools-pkgs-exercises

• 2018-03-27 18:03:30 | Machine Learning for Diabetes with Python | Python>ML>many-methods

• 2018-03-22 11:55:52 | MusicVAE: Creating a palette for musical scores with machine learning. | Python>AV>audio-music

• 2018-03-22 11:55:07 | The Ultimate Guide To Speech Recognition With Python | Python>AV>audio-music

• 2018-03-20 17:24:02 | Plain python implementations of basic machine learning algorithms | Python>ML>many-methods

• 2018-03-20 17:22:42 | Asyncio basics in python | Python>Lang>multitasking

• 2018-03-18 21:50:58 | EnricoBilla/MusicTag: MusicTag allows you to download from YouTube all the music you want and automatically set the ID3 tags. | Python>AV>audio-music

• 2018-03-16 05:15:46 | A Practical Introduction to Blockchain with Python | Finance>Quant

• 2018-03-14 08:35:36 | Keras: Regression-Based Neural Networks with Python | Python>ML>neural-deep

• 2018-03-13 16:01:43 | Documents on ML / Stats | MSCE>ML

• 2018-03-08 14:00:32 | Python Plotting With Matplotlib (Guide) | Python>Vis

• 2018-03-08 05:19:17 | Neural Nets and How They Learn | MSCE>ML

• 2018-03-07 06:24:11 | Thinking in Long/Short Portfolios | Finance>TradingStrategies

• 2018-03-05 11:14:26 | Neural Networks in Python: MLP Classifiers | Python>ML>applications

• 2018-03-05 11:13:48 | Logistic Regression Modelling in Python | Python>ML>applications

• 2018-03-03 13:45:56 | Line breaking algorithms in python | Python>ML>applications

• 2018-03-01 19:49:37 | 101 NumPy Exercises for Data Analysis (Python) | Python>ML>tools-pkgs-exercises

• 2018-02-26 09:45:25 | Training Neural Networks For Stock Price Prediction | Python>ML>neural-deep

• 2018-02-26 01:23:26 | Accountability, Generalizability, and Rigor in Finance Research: Machine Learning in Markets (Part II) | MSCE>ML

• 2018-02-24 15:01:14 | MovieSentimentClassification/MovieReviewClassification.ipynb at master · kodiaklabs/MovieSentimentClassification | Python>ML>applications

• 2018-02-24 14:58:40 | How to think in graphs: an illustrative introduction to Graph Theory and its applications | MSCE>Stat

• 2018-02-23 07:13:15 | 2017's Deep Learning Papers on Investing | MSCE>ML

• 2018-02-23 07:10:43 | Beginning Functional Programming in Scala | Tech>SparkScala

• 2018-02-22 17:15:45 | The one-stop guide to (easy) cross-platform Python freezing: Part 1 | Python>Lang>tutorials-resources

• 2018-02-21 19:54:11 | Credit Modeling with Dask | Finance>Quant

• 2018-02-21 03:03:58 | colour-science/colour: Colour Science for Python | Python>Lang>applications

• 2018-02-21 02:59:28 | 15 minute (small) desktop apps built with PyQt | Python>Lang>gui-dev

• 2018-02-20 15:01:19 | PyViz 0.0.1 documentation | Python>Vis

• 2018-02-15 21:30:13 | Comonads for scientific and statistical computing in Scala | Tech>SparkScala

• 2018-02-14 17:32:00 | Reinforcement learning | MSCE>ML

• 2018-02-13 18:28:01 | How Numba and Cython speed up Python code | Python>Lang>tutorials-resources

• 2018-02-13 14:49:53 | Introduction to Learning to Trade with Reinforcement Learning | MSCE>ML

• 2018-02-12 08:28:28 | Credit Modeling with Dask | Python>ML>applications

• 2018-02-12 08:25:52 | A Python Book: Beginning Python, Advanced Python, and Python Exercises | Python>Lang>tutorials-resources

• 2018-02-09 18:29:48 | MCMC Samplers demo | Python>ML>bayesian

• 2018-02-07 18:22:35 | Deep Learning Trading and Hedge Funds | Finance>Quant

• 2018-02-07 18:18:56 | Introduction to LSTMs with TensorFlow | Python>ML>applications

• 2018-02-07 15:45:53 | NumPy Tutorial Part 1 - Intro to Arrays in Python | Python>ML>tools-pkgs-exercises

• 2018-02-07 14:24:11 | Managing Cron Jobs Using Python | Python>Lang>applications

• 2018-02-07 13:09:09 | PdVega: Interactive Vega-Lite Plots for Pandas | Python>Vis

• 2018-02-07 07:57:58 | The Unconventional Guide To The Best Websites For Quants | Finance>General

• 2018-02-06 18:36:35 | Datastream.io : Open Source Anomaly Detection | Python>ML>applications

• 2018-02-06 18:33:49 | Matrix calculus for deep learning | MSCE>ML

• 2018-02-06 18:30:18 | Modern Web Automation With Python and Selenium | Python>Web>frameworks-webservers

• 2018-02-04 18:07:41 | A Brief Tour of Grouping and Aggregating in Pandas | Python>ML>tools-pkgs-exercises

• 2018-02-03 18:40:27 | Supervised Machine Learning Algorithms in Python | Python>ML>many-methods

• 2018-02-03 18:37:17 | Moviepy: Video editing with Python | Python>AV>video-movies

• 2018-02-01 19:26:11 | Deep Learning in Scala Part 2: Hello, Neural Net! | Tech>SparkScala

• 2018-02-01 19:23:05 | How Machines Make Predictions: Finding Correlations in Complex Data | Python>ML>misc-topics

• 2018-01-28 16:16:07 | Git in Practice | An opinionated, intermediate/advanced-level Git book by Mike McQuaid. | Tech>VersionControl

• 2018-01-27 22:21:58 | Start Learning Quant Finance | Finance>Courses

• 2018-01-27 13:39:22 | Distributed Pandas on a Cluster with Dask DataFrames | Python>Lang>bigdata-processing

• 2018-01-26 09:21:10 | Introducing RLlib: A composable and scalable reinforcement learning library - O'Reilly Media | Tech>SparkScala

• 2018-01-26 08:56:16 | Top 15 Scala Libraries for Data Science in 2018 | Tech>SparkScala

• 2018-01-25 18:23:05 | Practical Introduction to Web Scraping in Python | Python>Web>web-scrape

• 2018-01-25 18:21:51 | Linux System Mining with Python | Python>Lang>applications

• 2018-01-25 18:12:03 | What can 311 noise complaints in Gowanus tell us about gentrification? | Python>ML>applications

• 2018-01-25 03:03:30 | Data Science at the Command Line | Tech>CmdTools

• 2018-01-23 13:25:29 | Spiking Neural Networks, the Next Generation of Machine Learning | MSCE>ML

• 2018-01-23 07:25:44 | Python GUI examples (Tkinter Tutorial) | Python>Lang>gui-dev

• 2018-01-23 04:56:07 | pyo: Python DSP module for audio | Python>AV>audio-music

• 2018-01-22 18:08:17 | adornes/spark_scala_ml_examples: Spark 2.0 Scala Machine Learning examples | Tech>SparkScala

• 2018-01-22 18:07:14 | Spark Machine Learning Pipeline by Example - Hortonworks | Tech>SparkScala

• 2018-01-22 18:05:22 | apache/spark mllib examples | Tech>SparkScala

• 2018-01-22 18:02:34 | Apache Spark Machine Learning Tutorial | Tech>SparkScala

• 2018-01-20 16:15:46 | Normalizing Flows Tutorial, Part 1: Distributions and Determinants | Python>ML>neural-deep

• 2018-01-18 15:46:35 | Understanding and building Generative Adversarial Networks(GANs)- Deep Learning with PyTorch. | Python>ML>misc-topics

• 2018-01-18 15:46:17 | Time Series Analysis in Python: An Introduction – Towards Data Science | Python>ML>time-series

• 2018-01-18 15:45:33 | Some Applications of Markov Chain in Python | Python>ML>misc-topics

• 2018-01-18 15:08:21 | Introduction to LSTMs with TensorFlow | Python>ML>time-series

• 2018-01-17 08:55:36 | calclavia/DeepJ: A deep learning model for style-specific music generation. | Python>AV>audio-music

• 2018-01-17 08:42:15 | A short guide on features of Python 3 | Python>Lang>tutorials-resources

• 2018-01-16 16:34:47 | How to Scrape a Website with Beautiful Soup | Python>Web>web-scrape

• 2018-01-13 18:18:27 | K-Means Clustering with Scikit-Learn | Python>ML>clustering

• 2018-01-13 18:09:49 | Introduction to Python Ensembles | Python>ML>trees-graphs

• 2018-01-11 18:15:55 | Improving the Random Forest in Python Part 1 | Python>ML>trees-graphs

• 2018-01-11 18:09:53 | Python Notes for Professionals book | Python>Lang>tutorials-resources

• 2018-01-11 08:55:36 | Plotting Volatility Surface for Options | Finance>Quant

• 2018-01-09 18:34:09 | Magenta: Music and Art Generation with Machine Intelligence | Python>AV>audio-music

• 2018-01-09 09:54:46 | Measuring Memory Consumption of a Python App | Python>Lang>tutorials-resources

• 2018-01-06 16:04:59 | Recognizing Handwritten digits with TensorFlow | Python>ML>neural-deep

• 2018-01-06 08:20:36 | How to Send an Email With Python | Python>Lang>applications

• 2018-01-04 19:47:17 | Learning Curves for Machine Learning | Python>ML>train-eval-explain-deploy

• 2018-01-04 19:45:22 | Taking screenshots with OpenCV and Python | Python>Lang>applications

• 2018-01-04 19:42:12 | Deep Learning & Art: Neural Style Transfer – An Implementation with Tensorflow in Python | Python>ML>applications

• 2018-01-04 19:40:03 | Interactive Visualization of Australian Wine Ratings | Python>Vis

• 2018-01-04 19:37:46 | awesome-scala-native: Compilation of Scala Native resources and libraries | Tech>SparkScala

• 2018-01-04 07:24:31 | Streaming Dataframes | Python>Lang>tutorials-resources

• 2018-01-02 14:05:22 | What is the difference between Bagging and Boosting? | MSCE>ML

• 2018-01-01 08:20:46 | The NSynth Dataset: annotated musical notes | Data>audio-music

• 2017-12-31 18:56:39 | Queues in Python | Python>Lang>tutorials-resources

• 2017-12-31 18:53:59 | Ahmed BESBES - DataSentiment analysis on Twitter using word2vec and keras | Python>ML>nlp-llm

• 2017-12-31 18:52:16 | Learning to rank with Python scikit-learn | Python>ML>misc-topics

• 2017-12-31 18:51:36 | How To Use the Python Debugger | Python>Lang>debug-log-except

• 2017-12-31 18:50:16 | Asyncio Coroutine Patterns: Beyond await | Python>Lang>multitasking

• 2017-12-31 18:49:23 | Machine Learning with TensorFlow | Python>ML>tools-pkgs-exercises

• 2017-12-31 18:17:41 | Image Processing in Python with Pillow | Python>ML>applications

• 2017-12-31 18:16:17 | Keras Cheat Sheet: Neural Networks in Python (article) | Python>ML>tools-pkgs-exercises

• 2017-12-31 18:15:00 | Dictionaries, Maps, and Hash Tables in Python | Python>Lang>tutorials-resources

• 2017-12-31 18:14:05 | Handling Missing Values in Pandas DataFrames: the Hard Way, and the Easy Way | Python>ML>tools-pkgs-exercises

• 2017-12-31 18:13:12 | Minimal examples of data structures and algorithms in Python | Python>Lang>tutorials-resources

• 2017-12-31 18:10:55 | Neural Networks Tutorial - A Pathway to Deep Learning | Python>ML>neural-deep

• 2017-12-31 18:10:12 | NumPy Cheat Sheet | Python>ML>tools-pkgs-exercises

• 2017-12-31 18:09:59 | Asynchronous Optimization Algorithms with Dask | Python>Lang>multitasking

• 2017-12-31 18:08:28 | Recursive Neural Networks with PyTorch | Python>ML>neural-deep

• 2017-12-31 18:07:38 | Advanced web scraping in Python | Python>Web>web-scrape

• 2017-12-31 18:06:50 | Asynchronous Programming in Python | Asyncio (Guide) | Python>Lang>multitasking

• 2017-12-31 18:06:23 | How to Write a Decorator with an Optional Argument? | Python>Lang>func-prog

• 2017-12-31 18:05:51 | Classifying Text with Neural Networks and TensorFlow | Python>ML>applications

• 2017-12-31 18:05:07 | Python TensorFlow Tutorial - Build a Neural Network | Python>ML>neural-deep

• 2017-12-31 18:03:47 | What you can learn about food by analyzing a million Yelp reviews | Python>ML>applications

• 2017-12-31 18:03:14 | Time Series Forecasting with the Long Short-Term Memory Network in Python | Python>ML>time-series

• 2017-12-31 17:58:52 | GitHub - donnemaInteractive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards. | Python>Lang>tutorials-resources

• 2017-12-31 17:56:04 | Customizing class creation in Python | Python>Lang>oo-meta

• 2017-12-31 17:54:51 | Understanding the Transform Function in Pandas | Python>ML>tools-pkgs-exercises

• 2017-12-31 17:53:43 | Deep Learning with Emojis (not Math) | Python>ML>applications

• 2017-12-31 17:53:21 | Python Decorators: A Step-By-Step Introduction | Python>Lang>func-prog

• 2017-12-31 17:52:49 | scrapy tutorial | Python>Web>web-scrape

• 2017-12-31 17:51:33 | Medical Image Analysis with Deep Learning — I | Python>ML>applications

• 2017-12-31 17:50:41 | Python Classes and Object Oriented Programming | Python>Lang>oo-meta

• 2017-12-31 17:49:51 | List Comprehensions and Generator Expressions | Python>Lang>iter-gen-comprehen

• 2017-12-31 17:48:19 | Object Oriented Programming in Python: Class and Instance Variables | Python>Lang>oo-meta

• 2017-12-31 17:46:23 | Audio Signal Processing for Music Applications | Python>AV>audio-music

• 2017-12-31 17:38:56 | How to Handle Missing Data with Python | Python>ML>tools-pkgs-exercises

• 2017-12-31 17:38:35 | Fantastic GANs and where to find them | Python>ML>misc-topics

• 2017-12-31 17:37:20 | Classifying White Blood Cells With Deep Learning (Code and data included!) | Python>ML>applications

• 2017-12-31 17:36:40 | From iterators to coroutines | Python>Lang>iter-gen-comprehen

• 2017-12-31 17:35:20 | Random-Walk Bayesian Deep Networks: Dealing with Non-Stationary Data | Python>ML>neural-deep

• 2017-12-31 17:34:24 | Profiling and optimizing your Python code | Python>Lang>tutorials-resources

• 2017-12-31 17:31:48 | Visualization in TensorFlow: Summary and TensorBoard | Python>ML>tools-pkgs-exercises

• 2017-12-31 17:29:49 | Memoization and Decorators with Python | Python>Lang>func-prog

• 2017-12-31 17:25:40 | DRY Your Python Code With Decorators | Python>Lang>func-prog

• 2017-12-31 17:24:58 | k nearest neighbors | Python>ML>misc-topics

• 2017-12-31 17:15:06 | Automatic Red Eye Remover using OpenCV (C++ / Python) | Python>ML>applications

• 2017-12-31 17:14:46 | Getting Started with Mocking in Python | Python>Lang>testing

• 2017-12-31 17:13:21 | Forecasting Website Traffic Using Facebook’s Prophet Library | Python>ML>applications

• 2017-12-31 17:11:01 | Introducing Python Fire, a library for automatically generating command line interfaces | Python>Lang>applications

• 2017-12-31 17:08:51 | GitHub - WZBSociapdftabextract: A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents. | Python>Lang>interop

• 2017-12-31 17:07:13 | Beginner's Guide to Customer Segmentation | Python>ML>clustering

• 2017-12-31 17:04:35 | Feature Extraction from Text | Python>ML>nlp-llm

• 2017-12-31 16:59:19 | Python 3 – Unpacking Generalizations | Python>Lang>tutorials-resources

• 2017-12-31 16:58:02 | Python type annotations | Python>Lang>tutorials-resources

• 2017-12-31 15:48:16 | How to root out corruption in your image folders | Python>ML>applications

• 2017-12-31 15:47:24 | Quick-Start Guide to the Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit and Azure GPU VMs | Python>ML>applications

• 2017-12-31 15:46:46 | 5 Python libraries to lighten your machine learning load | Python>ML>tools-pkgs-exercises

• 2017-12-31 15:46:20 | Data Mining OCR PDFs — Using pdftabextract to liberate tabular data from scanned documents | Python>Lang>interop

• 2017-12-31 15:45:16 | A Simple Guide for Python Packaging | Python>Lang>packag-docu-distrib

• 2017-12-31 15:44:49 | Closures bind late | Python>Lang>func-prog

• 2017-12-31 15:43:44 | Designing Modules in Python [ebook] | Python>Lang>oo-meta

• 2017-12-31 15:42:03 | Using Google Spreadsheets and Python | Python>Lang>interop

• 2017-12-31 15:41:09 | Introduction to Hidden Markov Models with Python Networkx and Sklearn — BLACKARBS LLC | Python>ML>misc-topics

• 2017-12-31 15:39:16 | Descriptors: The magic behind attribute access in Python | Python>Lang>oo-meta

• 2017-12-30 23:55:30 | Python - C++ bindings | Python>Lang>interop

• 2017-12-28 12:15:16 | Random Forest in Python | Python>ML>trees-graphs

• 2017-12-28 12:13:30 | Advanced numpy techniques | Python>ML>tools-pkgs-exercises

• 2017-12-28 11:36:11 | Parallel Python with Numba and ParallelAccelerator | Python>Lang>tutorials-resources

• 2017-12-26 22:12:23 | Enhancing Photos with Python | Python>ML>applications

• 2017-12-24 09:33:52 | Poodle, Pug, or Wiener Dog? Deploy a Dog Identification TensorFlow Model Using Python and Flask | Python>ML>applications

• 2017-12-24 09:33:19 | Class Imbalance in Credit Card Fraud Detection - Part 1 : Understanding Effect on Model Accuracy | Python>ML>train-eval-explain-deploy

• 2017-12-24 02:01:55 | DeepLearningTutorials | MSCE>ML

• 2017-12-23 16:38:38 | How To Create Charts In Django | Python>Vis

• 2017-12-23 03:44:06 | The Cleaning Hand of Pytest | Python>Lang>testing

• 2017-12-19 21:21:10 | altair: Declarative statistical visualization library for Python | Python>Vis

• 2017-12-19 18:12:38 | The Complete Guide to Building Strings In C++: From "Hello World" Up To Boost Karma | Tech>C++

• 2017-12-19 18:06:41 | Data Science with Python: Exploratory Analysis with Movie-Ratings and Fraud Detection with Credit-Card Transactions | Python>ML>applications

• 2017-12-18 08:09:54 | Video Synthesizer in Python with Pygame - Make Art with Python | Python>AV>video-movies

• 2017-12-12 12:57:42 | SQL Window Functions Tutorial for Business Analysis | Tech>Databases

• 2017-12-10 22:01:31 | Optimizing K-Means Clustering for Time Series Data | Python>ML>clustering

• 2017-12-10 21:00:03 | FoxDot – Live Coding with Python and SuperCollider | Python>AV>audio-music

• 2017-12-09 16:57:51 | Python Data Visualization — Comparing 5 Tools – Elena Kirzhner – Medium | Python>Vis

• 2017-12-09 14:38:53 | Python for Finance, Part I: Yahoo Finance API, pandas, and matplotlib | Finance>Quant

• 2017-12-09 08:18:27 | Downloading YouTube and Soundcloud Audio with Python and Pandas | Python>AV>audio-music

• 2017-12-09 07:32:18 | jiaaro/pydub: Manipulate audio with a simple and easy high level interface | Python>AV>audio-music

• 2017-12-09 07:28:58 | tyiannak/pyAudioAnalysis: Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications | Python>AV>audio-music

• 2017-12-09 06:52:08 | Aquila DSP (Digital Signal Processing) library for C++11 | Tech>C++>audio-music

• 2017-12-09 06:49:37 | micknoise/Maximilian: C++ Audio and Music DSP Library | Tech>C++>audio-music

• 2017-12-09 06:47:26 | The Synthesis ToolKit in C++ (STK) | Tech>C++>audio-music

• 2017-12-09 06:41:58 | librosa/tutorial | Python>AV>audio-music

• 2017-12-09 06:41:17 | LibROSA — librosa 0.5.1 documentation | Python>AV>audio-music

• 2017-12-09 06:40:24 | ipython_audio | Python>AV>audio-music

• 2017-12-09 06:36:22 | Getting Started with Audio Data Analysis (Voice) using Deep Learning | Python>AV>audio-music

• 2017-12-09 06:34:18 | Applications of machine learning in signal processing for audio | Python>AV>audio-music

• 2017-12-09 06:30:30 | Audio processing in TensorFlow – Towards Data Science | Python>AV>audio-music

• 2017-12-09 06:28:00 | How to do Speech Recognition with Deep Learning | Python>AV>audio-music

• 2017-12-07 13:51:25 | Python Decorators From the Ground Up – Pablo Arias – About the Little I Know | Python>Lang>func-prog

• 2017-12-07 13:51:04 | Learning from Imbalanced Classes - Silicon Valley Data Science | Python>ML>train-eval-explain-deploy

• 2017-12-07 13:50:20 | PCA using Python (scikit-learn) – Towards Data Science | Python>ML>misc-topics

• 2017-12-07 13:39:29 | Using Machine Learning to Predict the Weather: Part 3 | Python>ML>applications

• 2017-12-06 21:56:50 | Depth- and Breadth-First Search | Python>Lang>tutorials-resources

• 2017-12-06 21:46:29 | AhmedUnderstanding deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras | MSCE>ML

• 2017-12-06 21:44:25 | Analyzing Browser History Using Python and Pandas | Python>ML>applications

• 2017-12-06 21:41:18 | Neural networks - YouTube - YouTube | MSCE>ML

• 2017-12-06 21:27:46 | GitHub - benjaminwilson/python-clustering-exercises: Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn | Python>ML>tools-pkgs-exercises

• 2017-12-06 21:22:57 | Bayesian-Modelling-in-Python: A python tutorial on bayesian modeling techniques (PyMC3) | Python>ML>bayesian

• 2017-12-06 21:21:44 | TensorFlow 101 · Mubaris NK | Python>ML>tools-pkgs-exercises

• 2017-12-06 21:15:15 | GitHub - vahidk/EffectiveTensorflow: TensorFlow tutorials and best practices. | Python>ML>tools-pkgs-exercises

• 2017-12-06 21:13:22 | Performance gain by writing a C extension in python | Python>Lang>tutorials-resources

• 2017-12-06 20:59:04 | 10 Python Interview Questions You need to know | Python>Lang>tutorials-resources

• 2017-12-06 09:12:02 | ActiveState/code: ActiveState Code Recipes | Tech>Programming

• 2017-12-05 00:23:01 | Tiny-Python-3.6-Notebook/python.rst at master · mattharrison/Tiny-Python-3.6-Notebook | Python>Lang>tutorials-resources

• 2017-12-03 10:01:27 | A collection of interesting, subtle, and tricky Python snippets. | Python>Lang>tutorials-resources

• 2017-11-30 22:12:49 | Pandas in a nutshell – Kanoki | Python>ML>tools-pkgs-exercises

• 2017-11-29 21:23:02 | [Book] Neural networks and deep learning | MSCE>ML

• 2017-11-29 11:24:04 | Comparative Audio Analysis With Wavenet, MFCCs, UMAP, t-SNE and PCA | Python>AV>audio-music

• 2017-11-29 11:20:33 | Using Machine Learning to Predict the Weather: Part 1 | Python>ML>applications

• 2017-11-29 09:26:47 | Implementing a Neural Network from Scratch in Python – An Introduction - Data Science Central | Python>ML>neural-deep

• 2017-11-29 09:05:41 | A friendly Introduction to Backpropagation in Python | Python>ML>neural-deep

• 2017-11-21 20:20:22 | Interactive, Web-Based Dashboards in Python | Python>Web>apps-dashboards

• 2017-11-21 20:19:57 | Analyzing 1000+ Greek Wines With Python | Florents Tselai | Python>ML>applications

• 2017-11-16 07:42:28 | 5 Tips To Write Idiomatic Pandas Code (article) - DataCamp | Python>ML>tools-pkgs-exercises

• 2017-11-16 07:33:31 | Generating product usage data from scratch with Pandas | Python>ML>tools-pkgs-exercises

• 2017-11-14 19:40:16 | How to Learn Pandas – Theodore Petrou – Medium | Python>ML>tools-pkgs-exercises

• 2017-11-14 12:32:38 | A Beginner's Guide to Neural Networks in Python and SciKit Learn 0.18 | Python>ML>neural-deep

• 2017-11-13 07:07:58 | A Bestiary of Python’s Asyncio | Python>Lang>tutorials-resources

• 2017-11-09 14:59:26 | TensorFlow Neural Network Tutorial | Python>ML>neural-deep

• 2017-11-07 18:45:31 | Python Linked Lists | Python>Lang>tutorials-resources

• 2017-11-07 12:36:17 | Options Trading Research | projectoption | Finance>Options

• 2017-11-05 01:53:49 | Exploring United States Policing Data Using Python | Python>ML>applications

• 2017-11-05 01:51:34 | Sorting Algorithms Visualized in Python - Make Art with Python | Python>Lang>tutorials-resources

• 2017-11-01 19:11:32 | A tutorial on packaging up your Python code for PyPI | Python>Lang>packag-docu-distrib

• 2017-11-01 08:55:53 | bounter: counting large number of items | Python>Lang>iter-gen-comprehen

• 2017-10-21 21:45:51 | Neural Nets for Generating Music | Python>AV>audio-music

• 2017-10-17 16:33:11 | The Python Graph Gallery | Python>Vis

• 2017-10-10 18:23:05 | Creating Interactive Visualizations with Plotly’s Dash Framework - Practical Business Python | Python>Vis

• 2017-10-05 11:20:19 | Stock Price Dynamics with Python | Finance>Quant

• 2017-10-03 18:25:14 | Alice in Python projectland | Python>Lang>packag-docu-distrib

• 2017-10-03 18:17:07 | Machine Learning Glossary | MSCE>ML

• 2017-09-30 08:47:56 | Python Exercises | Python>Lang>tutorials-resources

• 2017-09-29 20:52:12 | A Guide to Python Itertools | Python>Lang>iter-gen-comprehen

• 2017-09-16 14:24:03 | Packaging Python software with pbr | Python>Lang>packag-docu-distrib

• 2017-09-16 12:54:58 | Gotchas of using Pandas | Python>ML>tools-pkgs-exercises

• 2017-09-14 20:13:46 | Scalable Machine Learning (Part 1) | Python>ML>train-eval-explain-deploy

• 2017-09-12 18:20:56 | Let me introduce: slots | Python>Lang>tutorials-resources

• 2017-09-07 11:26:57 | Another Keras Tutorial For Neural Network Beginners | Python>ML>tools-pkgs-exercises

• 2017-09-07 08:38:01 | Python gotchas collection | Python>Lang>tutorials-resources

• 2017-09-05 18:06:08 | A programmer’s cleaning guide for messy sensor data | Python>ML>applications

• 2017-08-31 18:32:58 | Python Data Science Handbook | Python>ML>tools-pkgs-exercises

• 2017-08-31 16:17:50 | Understanding datetime in Python: A primer | Python>Lang>tutorials-resources

• 2017-08-30 21:01:41 | Pandas tips and tricks | Python>ML>tools-pkgs-exercises

• 2017-08-29 20:44:42 | Sound Pattern Recognition with Python | Python>AV>audio-music

• 2017-08-24 13:02:39 | Ensemble Learning to Improve Machine Learning Results | MSCE>ML

• 2017-08-18 11:42:08 | SQLZOO | Tech>Databases

• 2017-08-17 07:20:21 | Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data | MSCE>ML

• 2017-08-15 18:11:55 | What does it take to be an expert at python? | Python>Lang>tutorials-resources

• 2017-08-08 20:55:52 | OmkarPathak/pygorithm: A Python module for learning all major algorithms | Python>Lang>tutorials-resources

• 2017-08-08 20:53:36 | The Magic Behind Python Generator Functions – Syed Komail Abbas – Medium | Python>Lang>iter-gen-comprehen

• 2017-08-08 07:06:23 | Python 101 1.0 documentation | Python>Lang>tutorials-resources

• 2017-08-03 08:24:43 | sinuous-violin | Python>AV>audio-music

• 2017-08-03 08:16:06 | A Beginner’s Guide to Optimizing Pandas Code for Speed | Python>ML>tools-pkgs-exercises

• 2017-08-02 18:10:39 | Pandas Grouper and Agg Functions Explained | Python>ML>tools-pkgs-exercises

• 2017-07-25 19:05:38 | Introducing Dash – plotly – Medium | Python>Web>apps-dashboards

• 2017-07-23 22:50:47 | Revisiting Unit Testing and Mocking in Python | Python>Lang>testing

• 2017-07-23 22:49:07 | Parsing in Python: all the tools and libraries you can use | Python>Lang>tutorials-resources

• 2017-07-20 07:23:24 | Pandas in a nutshell | Python>ML>tools-pkgs-exercises

• 2017-07-18 07:15:12 | Python for Finance, Part 3: A Moving Average Trading Strategy | Finance>Quant

• 2017-07-14 12:49:43 | Reducing Dimensionality from Dimensionality Reduction Techniques | MSCE>ML

• 2017-07-13 21:54:43 | Beginner Introduction to Neural Networks - YouTube | MSCE>ML

• 2017-07-11 22:04:46 | How to Reverse a List in Python | Python>Lang>tutorials-resources

• 2017-07-11 01:54:22 | K-means Clustering in Python | Python>ML>clustering

• 2017-07-11 01:53:50 | Principle Component Analysis in Python | Python>ML>misc-topics

• 2017-07-11 01:50:09 | The Many Layers of Packaging | Python>Lang>packag-docu-distrib

• 2017-07-10 06:53:22 | Neural networks for algorithmic trading. Multimodal and multitask deep learning | MSCE>ML

• 2017-07-09 10:43:23 | 100 days of algorithms | Python>Lang>tutorials-resources

• 2017-07-09 10:19:23 | Python Plotting for Exploratory Analysis | Python>Vis

• 2017-07-09 10:15:44 | Python For Finance: Algorithmic Trading | Finance>Quant

• 2017-07-07 10:25:40 | TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow | MSCE>ML

• 2017-07-07 10:25:10 | Probabilistic programming from scratch | Python>ML>bayesian

• 2017-07-06 22:10:16 | A Dive Into Python Closures and Decorators - Part 1 | Codementor | Python>Lang>func-prog

• 2017-07-06 22:05:54 | How to Handle Imbalanced Classes in Machine Learning | Python>ML>train-eval-explain-deploy

• 2017-07-05 19:15:52 | Linked Lists in Python | Python>Lang>tutorials-resources

• 2017-07-04 23:38:34 | Introduction to Market Basket Analysis in Python | Python>ML>misc-topics

• 2017-07-01 16:04:47 | How to build a multi-layered neural network in Python | Python>ML>neural-deep

• 2017-07-01 15:51:22 | How to build a simple neural network in 9 lines of Python code | Python>ML>neural-deep

• 2017-06-30 16:46:17 | Web Scraping with Python and BeautifulSoup | Python>Web>web-scrape

• 2017-06-29 08:37:36 | Essential Cheat Sheets for deep learning and machine learning researchers | MSCE>ML

• 2017-06-25 22:47:53 | PyMovieStudio | Python>AV>video-movies

• 2017-06-23 18:33:11 | foundations_for_deep_learning: Building a scalable foundation for deep learning | MSCE>ML

• 2017-06-19 08:30:18 | Python: Implementing a K-Means Algorithm With sklearn | Python>ML>clustering

• 2017-06-17 07:50:51 | How to scrape websites with Python and BeautifulSoup | Python>Web>web-scrape

• 2017-06-17 07:48:26 | scikit-video/scikit-video | Python>AV>video-movies

• 2017-06-17 07:46:42 | Music genre classifier | Python>AV>audio-music

• 2017-06-17 07:38:16 | It is ridiculously easy to generate audio signal with python | Python>AV>audio-music

• 2017-06-16 14:43:19 | Paradoxes of Probability and Other Statistical Strangeness | Career>InterviewPrep

• 2017-06-14 19:44:50 | 4 Python libraries for building great command-line user interfaces | Python>Lang>applications

• 2017-06-14 08:37:23 | Developing a Pricing Strategy to Maximize Revenue | Python>ML>applications

• 2017-06-14 08:34:58 | Train/Test Split and Cross Validation in Python | Python>ML>tools-pkgs-exercises

• 2017-06-14 08:23:09 | How to Publish Your Package on PyPI | Python>Lang>packag-docu-distrib

• 2017-06-13 19:57:42 | Python for Scientists and Engineers | Python>ML>tools-pkgs-exercises

• 2017-06-12 23:24:13 | Module Import Precedence in Python | Python>Lang>tutorials-resources

• 2017-06-12 23:20:53 | PyFormat: Using % and .format() for great good! | Python>Lang>tutorials-resources

• 2017-06-12 18:13:56 | Python: Iterators | Python>Lang>iter-gen-comprehen

• 2017-06-05 15:26:27 | Exploring LSTMs and Neural networks | MSCE>ML

• 2017-05-24 18:44:56 | tensorflow_cookbook: Code for Tensorflow Machine Learning Cookbook | Python>ML>tools-pkgs-exercises

• 2017-05-22 19:04:01 | Python for Finance, Part 2: Intro to Quantitative Trading Strategies | Finance>Quant

• 2017-04-30 12:29:50 | A gallery of interesting Jupyter Notebooks | Python>ML>tools-pkgs-exercises

• 2017-04-30 12:28:20 | Time Series Forecast Case Study with Python: Monthly Armed Robberies in Boston | Python>ML>time-series

• 2017-04-30 12:23:14 | Self-Organising Maps: In Depth | Python>ML>misc-topics

• 2017-04-28 13:27:35 | Effectively Using Matplotlib | Python>Vis

• 2017-04-21 18:43:22 | Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python" | Python>ML>neural-deep

• 2017-04-18 22:07:21 | WSJ Market Data | Finance

• 2017-04-11 18:34:29 | Neural Turing Machines | MSCE>ML

• 2017-04-09 08:49:30 | Data Manipulation and Visualization with Pandas and Seaborn — A Practical Introduction | Python>Vis

• 2017-04-07 06:12:08 | Data Wrangling 101: Using Python to Fetch, Manipulate & Visualize NBA Data | Python>ML>tools-pkgs-exercises

• 2017-03-29 07:37:11 | A Magical Introduction to Classification Algorithms | Python>ML>many-methods

• 2017-03-28 22:59:14 | ML-From-Scratch: Bare bones Python implementations of some of the fundamental Machine Learning models and algorithms. | Python>ML>many-methods

• 2017-03-27 22:54:38 | Pandas & Seaborn - A guide to handle & visualize data elegantly | Python>ML>tools-pkgs-exercises

• 2017-03-27 22:52:04 | NakedTensor: Bare bone examples of machine learning in TensorFlow | MSCE>ML

• 2017-03-18 16:51:18 | The Black Magic of Deep Learning - Tips and Tricks for the practitioner | MSCE>ML

• 2017-03-12 17:51:59 | ŷhat | Isochrones using the Google Maps Distance Matrix API | Python>Vis

• 2017-03-06 12:28:31 | What's Wrong With My Time Series | MSCE>ML

• 2017-03-06 09:18:05 | Algo + datastructures interview questions | Career>InterviewPrep

• 2017-03-04 10:17:29 | Lesser Known Git Commands | Tech>VersionControl

• 2017-03-04 10:16:54 | GitBook · Documentation made easy | Tech>VersionControl

• 2017-02-28 19:23:05 | A Simple Trending Products Recommendation Engine in Python | Python>ML>applications

• 2017-02-26 05:08:26 | Predicting Housing Prices with Linear Regression using Python, pandas, and statsmodels | Python>ML>misc-topics

• 2017-02-20 00:05:31 | [Book] A Course in Machine Learning | MSCE>ML

• 2017-02-19 09:26:12 | Essential Python Code Optimization Tips and Tricks You Should Know | Python>Lang>tutorials-resources

• 2017-02-13 15:35:03 | Using functional programming in Python like a boss: Generators, Iterators and Decorators | Python>Lang>func-prog

• 2017-02-13 15:34:56 | SciPy Cheat Sheet: Linear Algebra in Python | Python>ML>tools-pkgs-exercises

• 2017-02-13 15:22:13 | Two Easy Ways to Use Scikit Learn and Dask | Python>ML>tools-pkgs-exercises

• 2017-02-13 15:19:17 | Data Exploration with Python, Part 2 | Python>ML>tools-pkgs-exercises

• 2017-02-13 15:18:42 | Python Programming for Finance | Finance>Quant

• 2017-02-12 22:15:28 | Extend Spark ML for your own model/transformer types | Python>Lang>bigdata-processing

• 2017-02-10 16:51:33 | 6 Deep Learning Applications a beginner can build in minutes (using Python) | Python>ML>neural-deep

• 2017-02-09 15:44:33 | Deep Learning for ... Chess | Python>ML>neural-deep

• 2017-02-09 10:06:29 | K-Means & Other Clustering Algorithms: A Quick Intro with Python | Python>ML>clustering

• 2017-02-09 09:55:23 | Deep Learning, Applied. Project #1 | Python>ML>neural-deep

• 2017-02-09 09:52:58 | Python Excel Tutorial: The Definitive Guide | Python>Lang>tutorials-resources

• 2017-02-07 21:10:30 | Plotting IMDb Average Rating | Python>Vis

• 2017-02-07 21:09:48 | Machine Learning with Jupyter using Scala, Spark and Python: The Setup | Python>ML>tools-pkgs-exercises

• 2017-02-07 21:06:13 | Using Apache Spark for Sports Analytics | Python>ML>applications

• 2017-02-07 20:58:32 | Learn TensorFlow and deep learning, without a Ph.D. | MSCE>ML

• 2017-02-06 06:56:01 | GitHub - jakevdp/PythonDataScienceHandbook: Jupyter Notebooks for the Python Data Science Handbook | Python>ML>tools-pkgs-exercises

• 2017-02-03 12:07:03 | Practical PyTorch | Python>ML>tools-pkgs-exercises

• 2017-02-03 12:06:39 | Best Practices Writing Production-Grade PySpark Jobs | Python>Lang>bigdata-processing

• 2017-02-03 12:06:13 | Seam carving with OpenCV, Python, and scikit-image | Python>ML>applications

• 2017-02-03 12:05:59 | Fully Convolutional Networks (FCNs) for Image Segmentation | Python>ML>neural-deep

• 2017-02-03 12:04:42 | The 4 Major Ways to Do String Formatting in Python | Python>Lang>tutorials-resources

• 2017-01-30 05:12:01 | Testing Python Applications with Pytest | Python>Lang>testing

• 2017-01-27 12:30:39 | Python NumPy Tutorial: Array Computing | Python>ML>tools-pkgs-exercises

• 2017-01-27 12:28:58 | 41 Key Machine Learning Interview Questions with Answers | Career>InterviewPrep

• 2017-01-27 06:34:17 | Statistics for Hackers - statistics | Python>ML>misc-topics

• 2017-01-27 06:33:13 | List Comprehensions and Generator Expressions – Medium | Python>Lang>iter-gen-comprehen

• 2017-01-27 06:08:43 | Python 101 by Michael Driscoll [Leanpub PDF/iPad/Kindle] | Python>Lang>tutorials-resources

• 2017-01-27 06:06:26 | Algorithmic trading in less than 100 lines of Python code | Finance>Quant

• 2017-01-27 06:04:07 | Python Quiz | QuizBucket | Python>Lang>tutorials-resources

• 2017-01-27 06:01:26 | Assert Statements in Python | Python>Lang>tutorials-resources

• 2017-01-27 05:58:34 | Reshaping Data in Python | Python>ML>tools-pkgs-exercises

• 2017-01-24 19:22:12 | Why use SVM? | Python>ML>svm

• 2017-01-21 11:52:27 | scikit-learn video series | Python>ML>many-methods

• 2017-01-20 18:45:58 | Pandas cheatsheet | Python>ML>tools-pkgs-exercises

• 2017-01-19 21:22:16 | Applying Gaussian Naïve Bayes Classifier in Python: Part One | Python>ML>naive-bayes

• 2017-01-19 21:19:57 | Understanding the underscore( _ ) of Python | Python>Lang>tutorials-resources

• 2017-01-19 21:17:47 | Scraping for Craft Beers | Python>Web>web-scrape

• 2017-01-12 22:34:20 | tabula-py: Extract table from PDF into Python DataFrame | Python>Lang>interop

• 2017-01-12 22:33:48 | Intro to TensorFlow: Solving a simple regression problem | Python>ML>neural-deep

• 2017-01-12 22:32:03 | Python Machine Learning: Scikit-Learn Tutorial | Python>ML>many-methods

• 2017-01-12 22:31:34 | Hyperparameter optimization for Neural Networks | Python>ML>neural-deep

• 2017-01-10 19:37:07 | The Iterator Protocol: How for Loops Work in Python | Python>Lang>iter-gen-comprehen

• 2017-01-10 10:54:32 | have-fun-with-machine-learning: An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks | Python>ML>many-methods

• 2017-01-07 12:11:34 | Handling Unicode Strings in Python | Python>Lang>tutorials-resources

• 2017-01-07 12:07:52 | What I Learned Implementing a Classifier from Scratch in Python | Python>ML>neural-deep

• 2017-01-07 12:05:32 | Getting started with Machine learning on Linux with Python 3 and Scikit-learn | Python>ML>tools-pkgs-exercises

• 2016-12-31 11:06:19 | Machine Learning Crash Course: Part 1 | MSCE>ML

• 2016-12-31 11:04:39 | A Guide to Deep Learning | Python>ML>neural-deep

• 2016-12-31 11:01:34 | Data Exploration with Python, Part 1 | Python>ML>tools-pkgs-exercises

• 2016-12-26 18:30:30 | A Complete Tutorial to Learn Data Science with Python from Scratch | Python>ML>tools-pkgs-exercises

• 2016-12-23 18:54:00 | A Visual and Interactive Guide to the Basics of Neural Networks | MSCE>ML

• 2016-12-23 18:49:58 | Top 10 Python libraries of 2016 | Python>Lang>tutorials-resources

• 2016-12-23 18:43:09 | [Course] Practical Deep Learning For Coders—18 hours of lessons for free | MSCE>ML

• 2016-12-22 19:54:14 | bowtie: create a dashboard with python! | Python>Web>apps-dashboards

• 2016-12-22 19:51:08 | Building a Financial Model with Pandas - Version 2 | Finance>Quant

• 2016-12-22 13:08:57 | awesome-functional-python | Python>Lang>func-prog

• 2016-12-22 13:08:37 | How To Resample and Interpolate Your Time Series Data With Python | Python>ML>tools-pkgs-exercises

• 2016-12-16 18:17:30 | Numpy exercises | Python>ML>tools-pkgs-exercises

• 2016-12-15 13:30:10 | Implement Algo Trading coded in Python using Interactive Brokers API | Finance>Quant

• 2016-12-15 13:22:48 | How to Normalize and Standardize Time Series Data in Python | Python>ML>tools-pkgs-exercises

• 2016-12-11 14:28:28 | Python code snippets | Python>Lang>tutorials-resources

• 2016-12-08 22:38:06 | Python For Feature Films: Programming Images to Life | Python>AV>video-movies

• 2016-12-08 22:35:48 | Tidy Data in Python | Python>ML>tools-pkgs-exercises

• 2016-12-08 22:33:09 | Python Machine Learning Tutorial, Scikit-Learn | Python>ML>many-methods

• 2016-12-08 22:31:12 | Make your Python code more readable with custom exception classes | Python>Lang>oo-meta

• 2016-12-08 08:44:26 | Jupyter Notebook Tutorial: The Definitive Guide | Python>ML>tools-pkgs-exercises

• 2016-12-06 23:23:26 | Getting started with pytest | Python>Lang>testing

• 2016-12-06 23:22:41 | Asset Pricing using Extreme Liquidity Risk with Python (Part-1) | Finance>Quant

• 2016-12-01 10:21:33 | Python Memory Management | Python>Lang>tutorials-resources

• 2016-12-01 10:21:15 | Virtual Environments | Python>Lang>tutorials-resources

• 2016-12-01 10:17:36 | Python 3 for Computational Science and Engineering | Python>ML>tools-pkgs-exercises

• 2016-11-30 22:22:45 | Pandas Cheat Sheet for Data Science in Python | Python>ML>tools-pkgs-exercises

• 2016-11-30 17:39:21 | 109 Commonly Asked Data Science Interview Questions | Career>InterviewPrep

• 2016-11-30 17:38:31 | deep-learning-papers | MSCE>ML

• 2016-11-26 07:40:54 | An overview of gradient descent optimization algorithms | MSCE>Stat

• 2016-11-25 03:53:10 | Never Write For-Loops Again | Python>Lang>iter-gen-comprehen

• 2016-11-23 18:25:27 | Tensorflow Python Setup on DigitalOcean - Gary Sieling | Python>ML>tools-pkgs-exercises

• 2016-11-23 18:24:17 | Using Python for Research | edX | Python>ML>tools-pkgs-exercises

• 2016-11-23 18:21:43 | Building a Financial Model with Pandas | Finance>Quant

• 2016-11-18 19:59:45 | Python Web Scraping Tutorial using BeautifulSoup | Python>Web>web-scrape

• 2016-11-18 19:58:05 | Introduction to Deep Learning 2016 | MSCE>ML

• 2016-11-17 19:28:01 | An Intro to Integer Programming for Engineers: Simplified Bus Scheduling | Python>ML>misc-topics

• 2016-11-17 14:03:50 | The 10 Algorithms Machine Learning Engineers Need to Know | MSCE>ML

• 2016-11-17 10:09:41 | Structure and Interpretation of Computer Programs, 2e: Top | Tech>Programming

• 2016-11-17 09:48:46 | repl.it - Online REPL, Compiler & IDE | Tech>Programming

• 2016-11-16 14:55:17 | Minimal and clean examples of machine learning algorithms in Python | Python>ML>many-methods

• 2016-11-10 19:02:32 | Welcome to Python cheatsheet! | Python>Lang>tutorials-resources

• 2016-11-10 08:09:49 | Become a pdb power-user | Python>Lang>debug-log-except

• 2016-11-07 17:47:03 | Random Forests in Python | Python>ML>trees-graphs

• 2016-11-04 10:43:38 | Clairvoyant: Software designed to identify and monitor social/historical cues for short term stock movement | Finance>Quant

• 2016-11-03 19:44:27 | I don't understand Python's Asyncio | Armin Ronacher's Thoughts and Writings | Python>Lang>multitasking

• 2016-11-03 19:43:47 | Managing multiple Python projects: Virtual environments | Python>Lang>tutorials-resources

• 2016-11-03 09:31:16 | Pandas Tutorial: DataFrames in Python | Python>ML>tools-pkgs-exercises

• 2016-11-03 09:30:21 | Avoiding being bitten by Python – rmotr.com – Medium | Python>Lang>tutorials-resources

• 2016-11-03 09:29:28 | 6 Quick python debugging tips | Python>Lang>debug-log-except

• 2016-11-03 09:28:13 | predicting_stock_prices: This is the coding challenge for "Predicting Stock Prices" by @Sirajology on Youtube | Finance>Quant

• 2016-10-28 18:31:57 | Pandas Tutorial: Data analysis with Python: Part 1 | Python>ML>tools-pkgs-exercises

• 2016-10-27 22:16:21 | repl.it - Python3 Compiler | Python>Lang>tutorials-resources

• 2016-10-27 22:15:08 | Image Processing with Numpy | Python>ML>applications

• 2016-10-27 10:41:32 | Python iterators and iterables need not be the same! | Python>Lang>iter-gen-comprehen

• 2016-10-27 10:32:30 | ImportPython - Search All Newsletters Issues | Python>Lang>tutorials-resources

• 2016-10-20 19:42:32 | Model evaluation, model selection, and algorithm selection in machine learning | Python>ML>train-eval-explain-deploy

• 2016-10-20 19:37:45 | Asynchronous Scraping with Python | Python>Web>web-scrape

• 2016-10-20 19:34:02 | The stack of iterators pattern | Python>Lang>iter-gen-comprehen

• 2016-10-19 19:20:46 | A Beginner's Guide To Understanding Convolutional Neural Networks | MSCE>ML

• 2016-10-19 19:19:21 | Machine Learning in a Year | MSCE>ML

• 2016-10-18 18:39:33 | Machine learning for software engineers | MSCE>ML

• 2016-10-18 18:24:30 | LightGBM: fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework | MSCE>ML

• 2016-10-08 17:12:04 | TensorFlow in a Nutshell — Part Three: All the Models | Python>ML>neural-deep

• 2016-10-08 17:11:14 | A Dramatic Tour through Python’s Data Visualization Landscape (including ggplot and Altair) | Python>Vis

• 2016-10-08 17:06:14 | Economy simulation | Finance>Quant

• 2016-10-08 17:04:35 | Working with SQLite Databases using Python and Pandas | Python>Lang>database

• 2016-10-08 17:00:51 | Python Adventures: 5 music things | Python>AV>audio-music

• 2016-10-03 21:04:57 | An Introduction to Stock Market Data Analysis with Python (Part 2) | Finance>Quant

• 2016-09-26 19:36:45 | An Introduction to Stock Market Data Analysis with Python (Part 1) | Finance>Quant

• 2016-09-26 19:36:20 | Making publication ready Python Notebooks | Python>Lang>reporting

• 2016-09-26 19:34:24 | The Python Packaging Ecosystem | Python>Lang>packag-docu-distrib

• 2016-09-26 19:34:01 | Image Manipulation in Python | Python>ML>applications

• 2016-09-25 17:44:53 | 2 major reasons why modern C++ is a performance beast | Tech>C++

• 2016-09-15 21:00:51 | Introduction to Python generators | Python>Lang>iter-gen-comprehen

• 2016-09-15 20:57:09 | 17 places to find datasets for data science projects | Data>ml-datascience

• 2016-09-15 20:56:20 | The Neural Network Zoo | MSCE>ML

• 2016-09-08 21:49:56 | 18 Most Common Python List Questions | Learn Python | Python>Lang>iter-gen-comprehen

• 2016-09-08 21:46:33 | Creating Pandas DataFrames from Lists and Dictionaries | Python>ML>tools-pkgs-exercises

• 2016-09-02 19:35:03 | Deep learning for complete beginners: Recognising handwritten digits | Python>ML>neural-deep

• 2016-09-02 19:06:18 | The 7 Best Data Science and Machine Learning Podcasts | MSCE>ML

• 2016-09-02 19:05:38 | Learning from Imbalanced Classes | MSCE>ML

• 2016-09-02 19:04:49 | Infrastructure for Deep Learning | Tech>BigData

• 2016-08-31 06:35:17 | Blog posts on C++ pointers | Tech>C++

• 2016-08-26 13:59:29 | RNNs in Tensorflow, a Practical Guide and Undocumented Features | Python>ML>neural-deep

• 2016-08-26 13:58:50 | Lists vs. Tuples | Python>Lang>tutorials-resources

• 2016-08-26 13:56:06 | Handy Python Libraries for Formatting and Cleaning Data | Python>ML>tools-pkgs-exercises

• 2016-08-26 13:54:14 | An intro to linear classification with Python | Python>ML>svm

• 2016-08-19 19:21:06 | Playing with convolutions in TensorFlow | Python>ML>neural-deep

• 2016-08-19 19:19:21 | Machine Learning Exercises In Python, Part 1 | Python>ML>many-methods

• 2016-08-19 19:17:06 | attrs: The One Python Library Everyone Needs | Python>Lang>tutorials-resources

• 2016-08-16 19:35:16 | Gaussian predictive process models in Stan | Python>ML>bayesian

• 2016-08-16 11:18:45 | How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras | Python>ML>train-eval-explain-deploy

• 2016-08-16 11:18:19 | TFlearn quickstart | Python>ML>tools-pkgs-exercises

• 2016-08-16 11:17:51 | Surviving the NFL - Survival Analysis using Python | Python>ML>misc-topics

• 2016-08-16 11:17:09 | requests vs urllib: What problem does it solve? | Python>Web>web-scrape

• 2016-08-16 11:14:52 | Long-term forecasting with machine learning models | Python>ML>time-series

• 2016-08-16 09:19:29 | algorithm-trading-webapp: Algorithm Trading web application with Python, Django, PyQt5 and Javascript | Finance>Quant

• 2016-08-12 18:24:22 | Using Machine Learning to Predict Out-Of-Sample Performance of Trading Algorithms - DataRobot | MSCE>ML

• 2016-08-12 18:13:56 | Deep Learning Part 1: Comparison of Symbolic Deep Learning Frameworks | MSCE>ML

• 2016-08-10 18:11:36 | Machine Learning over 1M hotel reviews finds interesting insights | MSCE>ML

• 2016-08-06 14:25:21 | 2 great benefits of Python generators (and how they changed me forever) | Python>Lang>iter-gen-comprehen

• 2016-08-05 15:44:10 | keras-rl: Deep Reinforcement Learning for Keras. | Python>ML>naive-bayes

• 2016-08-05 15:41:20 | Practice your pandas skills! | Python>ML>tools-pkgs-exercises

• 2016-08-04 11:56:02 | Please Fix Your Decorators | Python>Lang>func-prog

• 2016-08-04 11:48:44 | Python 201: A multiprocessing tutorial | Python>Lang>multitasking

• 2016-08-04 11:48:19 | Getting Started with Deep Learning using Keras and Python | Python>ML>neural-deep

• 2016-08-04 11:46:17 | Dask and scikit-learn: a 3-Part Tutorial | Python>ML>tools-pkgs-exercises

• 2016-08-02 10:51:52 | Deep Learning with Theano - Part 1: Logistic Regression | Python>ML>neural-deep

• 2016-08-01 08:36:57 | Scikit-Learn Tutorial Series – Data Science Central | Python>ML>many-methods

• 2016-08-01 08:28:50 | 10 Awesome Python Tutorials to Kick-Start your Projects | Python>Lang>tutorials-resources

• 2016-07-29 17:36:57 | DeepHeart: Neural networks for monitoring cardiac data | Python>ML>neural-deep

• 2016-07-29 17:36:40 | How to use Python’s min() and max() with nested lists | Python>Lang>tutorials-resources

• 2016-07-29 17:35:35 | Python: Visualization with Bokeh | Python>Vis

• 2016-07-29 17:34:29 | TheAlgorithms/Python: All Algorithms implemented in Python | Python>Lang>tutorials-resources

• 2016-07-29 12:54:34 | Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning | Python>ML>neural-deep

• 2016-07-29 12:52:56 | Machine Learning Problem Bible (MLPB) | MSCE>ML

• 2016-07-27 22:59:47 | bspaans/python-mingus: Mingus is a music package for Python | Python>AV>audio-music

• 2016-07-27 22:59:18 | Typing keyboard + python = Musical instrument | Python>AV>audio-music

• 2016-07-27 22:58:57 | Music for Geeks and Nerds | Python>AV>audio-music

• 2016-07-27 22:58:16 | Musical Pitch Classification | Python>AV>audio-music

• 2016-07-27 22:57:11 | Programming instrumental music from scratch | Python>AV>audio-music

• 2016-07-27 22:48:05 | BeetBox | Python>AV>audio-music

• 2016-07-22 17:57:31 | Edward – library for probabilistic modeling, inference and criticism | Python>ML>bayesian

• 2016-07-22 17:56:08 | Approaching (Almost) Any Machine Learning Problem | MSCE>ML

• 2016-07-21 20:37:02 | Introduction to Zipline: A Trading Library for Python | Finance>Quant

• 2016-07-21 20:36:25 | Python 201: An Intro to mock | Python>Lang>testing

• 2016-07-20 23:20:33 | Useful Python 3 features for users | Python>Lang>tutorials-resources

• 2016-07-15 18:10:01 | Design Patterns for Deep Learning Architectures : applications | MSCE>ML

• 2016-07-15 18:07:08 | How to Start Learning Deep Learning | MSCE>ML

• 2016-07-14 11:50:19 | How to Deploy a Django Application on DigitalOcean | Python>Web>django

• 2016-07-14 11:49:36 | Wavelet image hash in Python | Python>ML>applications

• 2016-07-14 11:45:54 | Build Your First Python and Django Application | Python>Web>django

• 2016-07-07 19:58:36 | An Introduction to Scientific Python - Pandas | Python>ML>tools-pkgs-exercises

• 2016-07-04 15:05:23 | A curated list of insanely awesome libraries, packages and resources for Quants | Finance>Quant

• 2016-06-30 16:36:09 | Advanced Image Processing with Python | Python>ML>applications

• 2016-06-30 13:40:46 | Parsing PDFs in Python with Tika | Python>Lang>interop

• 2016-06-30 13:39:01 | A Practical Introduction to Deep Learning with Caffe and Python | Python>ML>neural-deep

• 2016-06-30 10:41:35 | Visualizing package performance using Rperform and Grammar of Graphics | Python>Lang>tutorials-resources

• 2016-06-23 21:27:13 | Python wats | Python>Lang>tutorials-resources

• 2016-06-22 18:26:41 | Hello, TensorFlow! | MSCE>ML

• 2016-06-17 20:05:19 | 16 Best Free Machine Learning Books in June 2016 - Hacker Lists | MSCE>ML

• 2016-06-17 19:40:55 | Learn Python online – A detailed list of courses on Python | Python>Lang>tutorials-resources

• 2016-06-16 11:29:14 | Conda revisions: letting you ‘rollback’ to a previous version of your environment | Python>Lang>tutorials-resources

• 2016-06-16 11:22:38 | Writing Python Scripts that Interact with Elasticsearch Plus Useful Examples | Python>Lang>database

• 2016-06-16 11:22:08 | Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks | Python>ML>neural-deep

• 2016-06-16 11:18:17 | Get Django Ready. | Python>Web>django

• 2016-06-12 16:11:45 | A Complete Tutorial to Learn Data Science with Python from Scratch | Python>ML>tools-pkgs-exercises

• 2016-06-12 16:11:28 | Learning Pandas using Workout Data | Python>ML>tools-pkgs-exercises

• 2016-06-12 16:09:01 | SciPy Cookbook documentation | Python>ML>tools-pkgs-exercises

• 2016-06-12 15:59:55 | Python: An Intro to Regular Expressions | Python>Lang>tutorials-resources

• 2016-06-12 15:59:26 | Implementing a Neural Network from Scratch in Python – An Introduction | Python>ML>neural-deep

• 2016-06-12 15:59:07 | Python Class Attributes | Python>Lang>oo-meta

• 2016-06-12 15:53:49 | Ensemble Machine Learning Algorithms in Python with scikit-learn | Python>ML>many-methods

• 2016-06-12 15:53:09 | Building powerful image classification models using very little data | Python>ML>neural-deep

• 2016-06-12 15:51:14 | A Guide to Gradient Boosted Trees with XGBoost in Python | Python>ML>ensemble-methods

• 2016-06-11 09:22:27 | 10 Useful Python Data Visualization Libraries for Any Discipline | Python>Vis

• 2016-06-11 09:22:02 | Python lambda expressions unleashed | Python>Lang>func-prog

• 2016-06-10 20:36:18 | Scientific python cheat sheet by IPGP | Python>ML>tools-pkgs-exercises

• 2016-05-27 20:41:11 | GitHub - smoqadam/python-tips: List of python tips | Python>Lang>tutorials-resources

• 2016-05-27 20:40:17 | Decorated Concurrency - Python multiprocessing made really really easy | Python>Lang>multitasking

• 2016-05-27 15:38:42 | Python 101: An Intro to Benchmarking your code | The Mouse Vs. The Python | Python>Lang>tutorials-resources

• 2016-05-27 15:32:58 | Easier data analysis in Python using the pandas library | Python>ML>tools-pkgs-exercises

• 2016-05-20 14:46:31 | Top 8 resources for learning data analysis with pandas | Python>ML>tools-pkgs-exercises

• 2016-05-20 11:12:05 | A Complete Tutorial to work on Big Data with Amazon Web Services (AWS) | Tech>BigData

• 2016-05-20 11:11:08 | DataSciencePython: common data analysis and machine learning tasks using python | Python>ML>tools-pkgs-exercises

• 2016-05-19 14:38:10 | Instructions for setting up the software on your deep learning machine | Tech>BigData

• 2016-05-19 14:37:31 | Practical Machine Learning Tutorial with Python | Python>ML>many-methods

• 2016-05-19 14:36:43 | Matplotlib tutorial: Plotting tweets mentioning Trump, Clinton & Sanders | Python>Vis

• 2016-05-12 18:32:28 | List, Dict and Set Comprehensions By Example – SmallSureThing | Python>Lang>tutorials-resources

• 2016-05-12 07:57:33 | Generator comprehensions | Python>Lang>iter-gen-comprehen

• 2016-05-12 07:54:41 | Analyzing Last.fm Listening History | Python>ML>applications

• 2016-05-11 19:03:45 | Awesome Tensor Flow | MSCE>ML

• 2016-05-08 09:48:14 | Python Cheat Sheet | Python>Lang>tutorials-resources

• 2016-05-08 09:47:45 | C++ Cheat Sheet | Tech>C++

• 2016-05-07 15:55:51 | 5 reasons you need to learn to write Python decorators | Python>Lang>func-prog

• 2016-05-06 10:51:07 | Introduction to Modern C++ (2016) | Tech>C++

• 2016-05-05 13:23:44 | Extracting data from websites using Scrapy | Python>Web>web-scrape

• 2016-05-05 13:19:31 | News headline analysis | Python>ML>nlp-llm

• 2016-05-05 13:17:23 | Finding Similar Music using Matrix Factorization | Python>AV>audio-music

• 2016-05-01 14:02:45 | Python Sorted Collections | Python Tips | Python>Lang>tutorials-resources

• 2016-05-01 13:58:29 | OpenAI Gym: reinforcement learning | Python>ML>misc-topics

• 2016-04-29 14:33:10 | Making Python on Apache Hadoop Easier with Anaconda and CDH | Python>ML>train-eval-explain-deploy

• 2016-04-29 14:27:47 | What is Hadoop? | Tech>BigData

• 2016-04-29 12:19:39 | Modern Pandas | Python>ML>tools-pkgs-exercises

• 2016-04-28 11:37:41 | Parallel_Processing_in_Python | Python>Lang>tutorials-resources

• 2016-04-28 11:36:06 | How to Loop With Indexes in Python - Trey Hunner | Python>Lang>iter-gen-comprehen

• 2016-04-28 11:34:06 | Python 201: An Intro to itertools | Python>Lang>iter-gen-comprehen

• 2016-04-27 23:21:44 | Dive into scikit-learn | Python>ML>tools-pkgs-exercises

• 2016-04-24 11:47:44 | Dive Into Object-oriented Python | Python>Lang>oo-meta

• 2016-04-24 11:34:21 | Pandas Cookbook | Python>ML>tools-pkgs-exercises

• 2016-04-24 11:33:46 | Pandas Tutorials | Python>ML>tools-pkgs-exercises

• 2016-04-23 16:21:37 | Python Cookbook | Python>Lang>tutorials-resources

• 2016-04-23 14:39:48 | ML for Hackers in Python | Python>ML>many-methods

• 2016-04-21 19:45:51 | 6 Lesser Known Python Data Analysis Libraries | Python>ML>tools-pkgs-exercises

• 2016-04-21 19:44:26 | GitHub - Junnplus/awesome-python-books: Directory of Python books | Python>Lang>tutorials-resources

• 2016-04-20 21:56:03 | Guest Post (Part I): Demystifying Deep Reinforcement Learning - Nervana | MSCE>ML

• 2016-04-17 19:12:27 | Blockchains by analogies and applications | Tech>Databases

• 2016-04-17 19:09:56 | Understanding the Math behind FP: The Monads | Python>Lang>func-prog

• 2016-04-17 19:05:39 | Python 201 – What’s a deque? | The Mouse Vs. The Python | Python>Lang>tutorials-resources

• 2016-04-17 19:04:34 | deepjazz: Deep learning driven jazz generation using Keras & Theano! | Python>ML>neural-deep

• 2016-04-17 19:02:46 | TensorFlow-Examples: TensorFlow tutorials and code examples for beginners | Python>ML>tools-pkgs-exercises

• 2016-04-15 14:07:32 | [Book] Deep Learning | MSCE>ML

• 2016-04-14 21:41:48 | End Point Blog: Learning from data basics II - simple Bayesian Networks | Python>ML>bayesian

• 2016-04-08 20:17:53 | How to Build a GUI in Python 3.5 | Jamal Moir | Python>Lang>gui-dev

• 2016-04-01 06:48:40 | Python Virtual Environments - a primer - Real Python | Python>Lang>tutorials-resources

• 2016-03-19 12:45:15 | Learning Python For Data Science | Python>ML>tools-pkgs-exercises

• 2016-03-19 12:44:34 | Python 101: All about imports | Python>Lang>tutorials-resources

• 2016-03-19 09:21:11 | John Loeber: K-Means Clustering | Python>ML>clustering

• 2016-03-18 18:58:26 | Idiomatic Python: comprehensions | Python>Lang>tutorials-resources

• 2016-03-18 18:57:11 | Adventures in Signal Processing with Python | Python>ML>applications

• 2016-03-18 18:53:56 | concrete probability with python | Python>ML>tools-pkgs-exercises

• 2016-03-18 18:53:13 | Image Processing 101 | Python>ML>applications

• 2016-03-18 11:26:53 | QuantLib Python Tutorials With Examples - G B | Finance>Quant

• 2016-03-18 09:04:34 | Weekly Market Recap | Finance>MarketsReview>Weekly

• 2016-03-08 22:12:35 | C/C++ Open Source Package Manager | Tech>C++

• 2016-02-28 17:05:21 | What is Stackless? | Python>Lang>tutorials-resources

• 2016-02-28 16:59:02 | Complete guide to create a Time Series Forecast (with Codes in Python) | Python>ML>time-series

• 2016-02-28 16:56:05 | elements-of-python-style: A Strunk & White for Python. | Python>Lang>tutorials-resources

• 2016-02-28 16:51:30 | An Introduction to Variable and Feature Selection | Python>ML>feat-engg-select

• 2016-02-25 21:03:37 | The Idiomatic Way to Merge Dictionaries in Python | Python>Lang>tutorials-resources

• 2016-01-27 13:57:31 | Markets - Bloomberg Business | Finance

• 2016-01-27 12:25:24 | Risk Intelligence | GARP | Finance>General

• 2016-01-18 09:00:17 | OpenCV panorama stitching | Python>ML>applications

• 2016-01-12 22:07:27 | Learning How To Code Neural Networks | Python>ML>neural-deep

• 2016-01-12 22:04:30 | Python List Comprehensions: Explained Visually | Python>Lang>iter-gen-comprehen

• 2016-01-12 22:03:44 | Python descriptors made simple | Python>Lang>tutorials-resources

• 2016-01-12 22:02:59 | Python Regular Expressions | Python>Lang>tutorials-resources

• 2016-01-11 09:43:19 | Weekly Market Recap | Russell Investments | Finance>MarketsReview>Weekly

• 2016-01-11 09:42:41 | Week in Review (MFS) | Finance>MarketsReview>Weekly

• 2016-01-11 09:41:46 | Weekly Market Update | Finance>MarketsReview>Weekly

• 2016-01-11 09:33:29 | Briefing.com Weekly Wrap | Finance>MarketsReview>Weekly

• 2015-12-31 13:17:01 | Python regexes - match objects | Python>Lang>tutorials-resources

• 2015-12-29 12:44:28 | Stock Market Symbols - Market Identification Codes (MIC) for Global Exchanges | Finance>Quant

• 2015-12-18 16:27:40 | Today's Markets News | Wall Street Journal | Finance>MarketsLive

• 2015-12-18 12:45:50 | MoneyBeat - WSJ | Finance>MarketsLive

• 2015-12-12 19:01:18 | GUI Programming with Python | Python>Lang>gui-dev

• 2015-11-21 22:07:08 | Comparing 7 Python data visualization tools | Python>Vis

• 2015-11-21 22:06:38 | 15 Essential Python Interview Questions | Python>Lang>tutorials-resources

• 2015-11-21 22:06:23 | Python's Hidden Regular Expression Gems | Python>Lang>tutorials-resources

• 2015-11-21 22:04:39 | The Best Machine Learning Libraries in Python | Python>ML>tools-pkgs-exercises

• 2015-11-21 22:04:06 | Counting Things in Python: A History | Python>Lang>tutorials-resources

• 2015-11-19 19:01:16 | Quant Trading Books | Finance>TradingStrategies

• 2015-11-19 00:46:04 | Python 101: Lambda Basics | Python>Lang>func-prog

• 2015-10-24 08:36:25 | Data Science Interview Questions | Career>InterviewPrep

• 2015-10-22 13:08:11 | Python's objects and classes — a visual guide | Python>Lang>oo-meta

• 2015-10-14 08:59:56 | Economic Calendar - Bloomberg | Finance

• 2015-10-03 20:03:17 | Most Popular Python CookBooks on GitHub | Python>Lang>tutorials-resources

• 2015-10-03 20:03:01 | dabeaz/python-cookbook | Python>Lang>tutorials-resources

• 2015-09-28 12:02:39 | Python Pedia | One Stop for Python Programming Resources. | Python>Lang>tutorials-resources

• 2015-09-28 12:01:09 | Design Patterns Explained - A repository for learning Python from scratch | Python>Lang>tutorials-resources

• 2015-09-22 20:19:23 | ETFreplay: Analysis Tools for ETF Investing | Finance>ETFs

• 2015-09-18 23:30:06 | Adding a Simple GUI to Your Pandas Script | Python>Vis

• 2015-09-11 14:37:27 | Yield Curve Implications for ETF Investors | Finance>ETFs

• 2015-09-09 16:17:57 | Some Important Streaming Algorithms You Should Know About | MSCE>ML

• 2015-08-25 15:51:58 | IntermediatePython | Python>Lang>tutorials-resources

• 2015-08-21 14:00:42 | How a Kalman filter works, in pictures | MSCE>ML

• 2015-08-05 17:36:03 | Profiling in Python | Python>Lang>tutorials-resources

• 2015-08-05 17:35:28 | Scrapy: The Basics | Python>Web>web-scrape

• 2015-07-30 15:16:01 | Why ETF Really Stands for “Efficient Tax Features” | Finance>ETFs

• 2015-07-30 15:15:00 | 101 ETF Lessons Every Financial Advisor Should Learn | Finance>ETFs

• 2015-07-29 13:58:58 | Research Affiliates: Publications | Finance>Research

• 2015-07-29 12:18:47 | Advanced R-Statistics | MSCE>Stat

• 2015-07-29 12:18:16 | Stats the Way I Like It | MSCE>Stat

• 2015-07-28 13:54:12 | ETF Investing Guide: Turning Taxes to Your Advantage | Finance>ETFs

• 2015-07-24 15:09:15 | ETFdb Category Reports | Finance>ETFs

• 2015-07-24 15:07:52 | Exploring the shapes of stories using Python and sentiment APIs | Python>ML>applications

• 2015-07-24 15:06:42 | My Python Code is Slow? Tips for Profiling | Python>Lang>tutorials-resources

• 2015-07-24 15:02:34 | The Cheapest ETF for Every Investment Objective | Finance>ETFs

• 2015-07-24 11:29:41 | Quick Guide To Trading ETFs | Finance>ETFs

• 2015-07-23 15:40:54 | 10 Biggest Risks With ETFs | Finance>ETFs

• 2015-07-23 15:31:15 | ETFdb Portfolios | Finance>ETFs

• 2015-07-23 15:29:15 | The ETF Universe: A Visual Guide | Finance>ETFs

• 2015-07-23 15:28:17 | How Gold ETFs are Taxed | Finance>ETFs

• 2015-07-17 16:07:24 | Random Forest in scikit-learn | Python>ML>trees-graphs

• 2015-07-15 15:12:08 | Introducing Pandas Objects | Python>ML>tools-pkgs-exercises

• 2015-07-07 09:43:59 | Stress testing the EVPPI | MSCE>ML

• 2015-07-06 10:05:23 | Python descriptors made simple | Python>Lang>tutorials-resources

• 2015-06-26 16:32:38 | A Comparison of Proportional Selection Algorithms in Python | Python>ML>misc-topics

• 2015-06-26 16:32:26 | Fast Lomb-Scargle Periodograms in Python | Python>ML>time-series

• 2015-06-24 17:50:18 | Pandas Categoricals | Python>ML>tools-pkgs-exercises

• 2015-06-24 17:49:47 | 5 Simple Rules For Building Great Python Packages | Python>Lang>packag-docu-distrib

• 2015-06-24 17:49:28 | Timezones and Python | Python>ML>tools-pkgs-exercises

• 2015-06-17 03:58:15 | PyQt/PySide and QtDesigner tutorial | Python>Lang>gui-dev

• 2015-06-17 03:56:59 | Computational Statistics in Python | Python>ML>misc-topics

• 2015-06-16 17:15:39 | An illustrated introduction to the t-SNE algorithm | MSCE>ML

• 2015-06-12 12:48:37 | Optimizing Python - A Case Study | Python>Lang>tutorials-resources

• 2015-06-12 12:44:08 | Classifying and Visualizing Musical Pitch with K-means Clustering | Python>AV>audio-music

• 2015-06-05 12:52:05 | Guide For Data Exploration In Python Using NumPy, Matplotlib, Pandas | Python>ML>tools-pkgs-exercises

• 2015-06-03 17:08:01 | Introduction to Support Vector Machines | MSCE>ML

• 2015-06-02 17:02:30 | Top 10 data mining algorithms in plain English | MSCE>ML

• 2015-05-26 15:46:04 | Running Python in a Browser Is More Awesome Than You Think | Python>Lang>tutorials-resources

• 2015-05-26 15:41:36 | Let’s Build A Web Server. Part 3. | Python>Web>frameworks-webservers

• 2015-05-26 11:31:21 | Data Sources on the Web | Data

• 2015-05-26 07:56:35 | regexr : online tool for regular expressions | Tech>WebTools

• 2015-05-19 18:10:22 | Visualizing Summer Travels | Python>Vis

• 2015-05-19 18:08:45 | Creating a face detection API with Python and OpenCV (in just 5 minutes) | Python>ML>applications

• 2015-05-19 18:08:14 | Finding Topics in Harry Potter using K-Means Clustering | Python>ML>clustering

• 2015-05-19 18:06:20 | A simple example of Python OOP development (with TDD) - Part 1 | Python>Lang>oo-meta

• 2015-05-15 12:27:57 | d3-financial-components | Tech>WebTools

• 2015-05-15 10:20:35 | Picking The Best Growth/Value ETFs | Finance>ETFs

• 2015-05-12 17:22:38 | Optimize Python with Closures | Python>Lang>func-prog

• 2015-05-04 10:06:36 | 40 Key Computer Science Concepts Explained In Layman’s Terms | MSCE>CS

• 2015-05-01 13:28:13 | Group and Count with Dictionaries | Python>Lang>tutorials-resources

• 2015-04-27 09:56:27 | Pirates use Flask, the Navy uses Django | Python>Web>flask

• 2015-04-24 15:54:46 | Python decorators: metaprogramming with style | Python>Lang>func-prog

• 2015-04-24 15:53:59 | The Little Book of Python Anti-Patterns | Python>Lang>tutorials-resources

• 2015-04-19 21:27:11 | C++ Samples | Tech>C++

• 2015-04-19 21:16:16 | The Boost C++ Libraries | Tech>C++

• 2015-04-17 14:45:42 | Making Python 3 more attractive | Python>Lang>tutorials-resources

• 2015-04-17 14:44:52 | The Deceptive Anagram Question | Python>Lang>tutorials-resources

• 2015-04-15 15:12:42 | Amazon Machine Learning – Make Data-Driven Decisions at Scale | MSCE>ML

• 2015-04-13 09:31:45 | Random walks down Wall Street - Stochastic Processes in Python | Python>ML>misc-topics

• 2015-04-13 09:20:13 | boltons — boltons 0.5.0 documentation | Python>Lang>tutorials-resources

• 2015-04-06 07:40:50 | An introduction to functional programming | Python>Lang>func-prog

• 2015-04-06 07:40:11 | Moving data between databases | Python>Lang>database

• 2015-04-06 07:39:42 | Simple & Profound Python Tricks | Python>Lang>tutorials-resources

• 2015-04-01 16:43:39 | Artificial Neurons | MSCE>ML

• 2015-03-21 09:07:51 | Mapping Your Music Collection | Python>AV>audio-music

• 2015-03-20 19:37:50 | Mining Twitter Data with Python (Part 1: Collecting data) | Python>Web>web-scrape

• 2015-03-20 19:37:28 | Threading and Multiprocessing Tutorial for Python | Python>Lang>multitasking

• 2015-03-13 14:28:32 | Deploying Python Applications with Docker | Python>Lang>packag-docu-distrib

• 2015-03-13 14:27:20 | Markowitz portfolio optimization | Finance>Quant

• 2015-03-13 14:25:04 | Debugging your Python code | Python>Lang>debug-log-except

• 2015-03-13 14:24:38 | Stop the “Works on My Machine” Syndrome | Python>Lang>tutorials-resources

• 2015-03-13 14:23:34 | Let’s Build A Web Server. Part 1 | Python>Web>frameworks-webservers

• 2015-03-06 11:23:53 | Beginning deep learning with 500 lines of Julia | Tech>Julia

• 2015-03-06 11:22:47 | Circles Sines and Signals - Introduction to DSP | MSCE>Engg

• 2015-03-04 13:57:09 | Swedroe: Avoid The Loser’s Game (active Value investing) | Finance>Factors

• 2015-03-04 12:38:01 | 10 Funds, 10 Asset Allocation Profiles | Finance>TradingStrategies

• 2015-03-02 11:21:14 | Optimizing Python in the Real World: NumPy, Numba, and the NUFFT | Python>ML>tools-pkgs-exercises

• 2015-02-28 10:51:53 | Processing frameworks for Hadoop | Tech>BigData

• 2015-02-28 09:42:36 | A Tour through the Visualization Zoo | Tech>DataViz

• 2015-02-23 10:28:35 | Ultimate Stock-Pickers' Top 10 High-Conviction Purchases | Finance>TradingStrategies

• 2015-02-23 10:20:55 | A New Exercise in Industry Rotation | Finance>TradingStrategies

• 2015-02-22 22:40:02 | A simple method for rendering templates with Python | Python>Web>templates

• 2015-02-22 22:39:55 | Underscores in Python | Python>Lang>tutorials-resources

• 2015-02-22 22:39:36 | How to use PIPE in python subprocess.Popen objects | Python>Lang>tutorials-resources

• 2015-02-22 22:39:19 | Creating PDF Reports with Pandas, Jinja and WeasyPrint | Python>Lang>reporting

• 2015-02-22 22:38:13 | zzzeek : Asynchronous Python and Databases | Python>Lang>multitasking

• 2015-02-22 22:38:01 | Python Decorator Cheatsheet | Python>Lang>func-prog

• 2015-02-18 14:18:56 | Unsupervised Feature Learning and Deep Learning Tutorial | MSCE>ML

• 2015-02-17 16:28:38 | An algorithm to extract looping GIFs from videos | Python>AV>video-movies

• 2015-02-17 16:28:20 | Understanding Python metaclasses | Python>Lang>oo-meta

• 2015-02-17 16:28:11 | Linear Regression Implementation in Python | Python>ML>misc-topics

• 2015-02-17 16:27:54 | Cleaner Code Through Partial Function Application | Python>Lang>func-prog

• 2015-02-17 16:27:07 | Accept Functions for Simple Interfaces Instead of Classes | Python>Lang>tutorials-resources

• 2015-02-17 16:26:50 | Python: Getting Started with Data Analysis | Python>ML>tools-pkgs-exercises

• 2015-02-17 16:26:28 | Default arguments in Python | Python>Lang>tutorials-resources

• 2015-02-17 15:09:37 | 19 Best Finance and Investment Tools for Faster Research | Finance>Tools

• 2015-02-13 13:00:32 | Naive Bayes Classification.ipynb | Python>ML>naive-bayes

• 2015-02-13 12:55:44 | Getting Started with Spark (in Python) | Python>ML>tools-pkgs-exercises

• 2015-02-06 16:56:45 | A Machine Learning Result | MSCE>ML

• 2015-02-06 16:54:46 | Generating Excel Reports from a Pandas Pivot Table | Python>Lang>reporting

• 2015-02-06 16:54:33 | Advanced Concepts in Flask | Python>Web>flask

• 2015-02-06 16:52:40 | Practical Data Science in Python | Python>ML>tools-pkgs-exercises

• 2015-02-02 14:08:53 | Finding The Right ‘Smart Beta’ ETF | Finance>ETFs

• 2015-02-02 11:49:22 | List of ETFs | Finance>ETFs

• 2015-01-30 15:25:57 | The Function II: Python Function Decorators | Python>Lang>func-prog

• 2015-01-30 15:25:47 | Multi-scale Template Matching using Python and OpenCV | Python>ML>applications

• 2015-01-30 15:25:05 | A practical introduction to functional programming | Python>Lang>func-prog

• 2015-01-30 15:24:52 | Python: Tips, Tricks and Idioms | Python>Lang>tutorials-resources

• 2015-01-30 15:24:10 | Type hinting in Python: focus on readability | Python>Lang>tutorials-resources

• 2015-01-29 11:16:15 | If you don't use "with", when does Python close files? The answer is: It depends. | Python>Lang>tutorials-resources

• 2015-01-29 11:16:05 | The Function | Python>Lang>func-prog

• 2015-01-29 11:15:42 | Using Celery With Flask | Python>Web>flask

• 2015-01-29 11:15:07 | Python Performance Tips | Python>Lang>tutorials-resources

• 2015-01-16 08:44:06 | iShares launches US real estate ETF | Finance>ETFs

• 2015-01-13 14:07:27 | String tokenization | Python>Lang>tutorials-resources

• 2015-01-13 14:06:54 | Ultimate guide for scraping JavaScript rendered web pages | Python>Web>web-scrape

• 2015-01-13 14:06:30 | Django Development Mistakes in 2014 | Python>Web>django

• 2015-01-13 14:05:39 | KnapsackProblem: The Knapsack Problem | Python>ML>applications

• 2015-01-05 09:24:25 | Python 3: threat or menace? | Python>Lang>tutorials-resources

• 2014-12-29 15:38:59 | Revisiting 60/40 Asset Allocation And The 4% Rule - SPDR S&P 500 Trust ETF (NYSEARCA:SPY) | Finance>TradingStrategies

• 2014-12-29 15:38:27 | ModernGraham Quarterly Valuation Of Analog Devices - Analog Devices Inc. (NASDAQ:ADI) | Finance>General

• 2014-12-29 15:36:45 | history of low vol | Finance>General

• 2014-12-29 12:26:30 | Quant Model Year End Update: Top 10 Long Ideas | Finance>TradingStrategies

• 2014-12-26 17:45:25 | Principal Component Analysis on Imaging | MSCE>Stat

• 2014-12-26 17:36:18 | The Geometry of Classifiers | MSCE>ML

• 2014-12-19 15:13:11 | Using convolutional neural nets to detect facial keypoints tutorial | Python>ML>neural-deep

• 2014-12-19 15:03:18 | Python’s NotImplemented Type | Python>Lang>tutorials-resources

• 2014-12-17 18:10:42 | Data animations with Python and MoviePy | Python>AV>video-movies

• 2014-12-17 18:10:17 | Naive Bayes in Python | Python>ML>naive-bayes

• 2014-12-17 18:09:44 | The Top Mistakes Developers Make When Using Python for Big Data Analytics | Python>Lang>bigdata-processing

• 2014-12-07 15:02:49 | More on Prediction From Log-Linear Regressions | MSCE>Stat

• 2014-12-02 12:10:43 | Top 10 Python idioms I wish I'd learned earlier | Python>Lang>tutorials-resources

• 2014-11-24 17:27:02 | A modern guide to getting started with Data Science and Python | Python>ML>tools-pkgs-exercises

• 2014-11-24 17:23:20 | Python Comprehension Syntax | Python>Lang>iter-gen-comprehen

• 2014-11-04 17:06:06 | Kickstarting Flask on Ubuntu - setup and deployment | Python>Web>flask

• 2014-11-04 17:05:45 | Django vs Flask vs Pyramid: Choosing a Python Web Framework | Python>Web>django

• 2014-11-04 17:05:00 | Encrypted SQLite Databases with Python and SQLCipher | Python>Lang>database

• 2014-10-29 17:04:46 | GoldDigger, A Genetic Algorithm-based Approach to Market Event Discovery | Finance>TradingStrategies

• 2014-10-28 16:21:35 | High performance Python extensions | Python>Lang>tutorials-resources

• 2014-10-28 16:17:45 | Video Streaming with Flask | Python>Web>flask

• 2014-10-17 18:20:42 | In Python, it's all about the attributes | Python>Lang>tutorials-resources

• 2014-10-17 18:20:24 | Advanced use of Python decorators and metaclasses | Python>Lang>oo-meta

• 2014-10-15 16:17:20 | Five mini programming projects for the Python beginner | Python>Lang>tutorials-resources

• 2014-10-15 16:17:07 | Django vs Flask vs Pyramid: Choosing a Python Web Framework | Python>Web>django

• 2014-10-15 16:16:29 | Embedding Interactive Maps into an IPython Notebook | Python>Vis

• 2014-10-03 14:08:33 | Building an Analytics App with Flask | Python>Web>flask

• 2014-10-01 18:31:49 | 20 Free Big Data Sources Everyone Should Know | Data>ml-datascience

• 2014-10-01 10:10:49 | Hedge Fund Return Predictability under the Magnifying Glass | Finance>HedgeFunds

• 2014-10-01 10:10:41 | Commonality in Hedge Fund Returns: Driving Factors and Implications | Finance>HedgeFunds

• 2014-10-01 10:10:32 | Factor-Based Approach Gains Momentum | Finance>Factors

• 2014-10-01 10:10:22 | The Joint Dynamics of Equity Market Factors | Finance>Factors

• 2014-10-01 10:09:58 | Size, Value, and Momentum in Developed Country Equity Returns: Macroeconomic and Liquidity Exposure | Finance>Factors

• 2014-10-01 10:04:52 | Ten C++11 Features Every C++ Developer Should Use | Tech>C++

• 2014-09-19 14:25:19 | Python bad practice, a concrete case | Python>Lang>tutorials-resources

• 2014-09-16 17:21:36 | Welcome Back to C++ (Modern C++) | Tech>C++

• 2014-09-15 12:06:47 | Beyond the For-Loop: Higher Order Functions and List Comprehensions in Python | Python>Lang>iter-gen-comprehen

• 2014-09-15 12:05:32 | how I learned to love Python's str.format, and gave up on % | Python>Lang>tutorials-resources

• 2014-09-11 11:13:08 | Trading Webinars, Futures Day Trading Videos - Big Mike Trading Forum | Finance>Courses

• 2014-09-05 15:28:30 | Performing exploratory analysis in Python (using Pandas) | Python>ML>tools-pkgs-exercises

• 2014-09-05 15:27:45 | Web Scraping with Scrapy - first steps | Python>Web>web-scrape

• 2014-09-05 15:26:27 | How to Build a Kick-Ass Mobile Document Scanner in Just 5 Minutes | Python>Lang>applications

• 2014-09-04 09:03:35 | How to make beautiful data visualizations in Python with matplotlib | Python>Vis

• 2014-08-29 14:28:49 | Bayesian Testing of Conversion Rate | Python>ML>bayesian

• 2014-08-27 10:17:36 | Standard C++ | Tech>C++

• 2014-08-25 11:07:49 | Python 3 OOP Part 1 - Objects and types | Python>Lang>oo-meta

• 2014-08-25 11:05:44 | Latexify your matplotlib plots for publishing | Python>Vis

• 2014-08-11 11:23:56 | Basic Market Theory And Its Application | Finance>General

• 2014-08-08 17:03:37 | Fool.com: Stock Investing Advice | Finance>General

• 2014-08-01 14:43:29 | Python Argparse Cookbook | Python>Lang>tutorials-resources

• 2014-08-01 14:42:13 | Data Science With Python: Part 1 | Python>ML>tools-pkgs-exercises

• 2014-08-01 14:41:16 | Simple Python Parallelism | Python>Lang>tutorials-resources

• 2014-07-31 09:39:59 | How to build and run your first deep learning network | Python>ML>neural-deep

• 2014-07-18 12:56:04 | A simple way to generate snippets in python | Python>Web>templates

• 2014-07-03 12:37:59 | A Tour of Machine Learning Algorithms | MSCE>ML

• 2014-07-02 10:03:17 | miguelgrinberg/flask-webcast | Python>Web>flask

• 2014-06-27 14:48:51 | DrSkippy/Data-Science-45min-Intros | Python>ML>tools-pkgs-exercises

• 2014-06-27 14:48:19 | Python Classes and Object Oriented Programming | Python>Lang>oo-meta

• 2014-06-27 14:47:50 | Applying deep learning and a RBM to MNIST using Python | Python>ML>neural-deep

• 2014-06-27 14:46:54 | Python Data Processing | Python>ML>tools-pkgs-exercises

• 2014-06-27 14:45:58 | Python packaging pitfalls | Python>Lang>packag-docu-distrib

• 2014-06-26 07:53:23 | Web Starter Kit | Tech>WebTools

• 2014-06-24 10:09:59 | Building Python wheels for Windows | Python>Lang>packag-docu-distrib

• 2014-06-24 10:08:57 | Frequentism and Bayesianism IV: How to be a Bayesian in Python | Python>ML>bayesian

• 2014-06-24 10:08:45 | Parallel Programming in Python | Python>Lang>tutorials-resources

• 2014-06-24 10:07:27 | Finding the Best Ticket Price - Simple Web Scraping with Python | Python>Web>web-scrape

• 2014-06-24 10:07:10 | Videogrep: Automatic Supercuts with Python | Python>AV>video-movies

• 2014-06-16 11:29:36 | Python, Pitch shifting, and the Pianoputer | Python>AV>audio-music

• 2014-06-16 11:27:32 | Explore Flask (book) | Python>Web>flask

• 2014-06-09 11:56:27 | Key differences between Python 2 and 3 | Python>Lang>tutorials-resources

• 2014-06-09 11:54:11 | Using Mocks in Python | Python>Lang>testing

• 2014-06-09 11:52:40 | Why Python is a Great First Language | Python>Lang>tutorials-resources

• 2014-06-09 11:50:15 | Is Crossbar.io the Future of Python Web Apps? | Python>Web>apps-dashboards

• 2014-06-06 17:12:21 | Tutorial: How to detect spurious correlations, and how to find the real ones | MSCE>Stat

• 2014-06-06 16:23:51 | ETFs - Fidelity Investments | Finance>ETFs

• 2014-06-02 09:47:14 | Be a kernel hacker | Linux Voice | Tech>LinuxUbuntu

• 2014-05-20 19:05:44 | Why Python is Slow: Looking Under the Hood | Python>Lang>tutorials-resources

• 2014-05-20 19:05:27 | Everything you did not want to know about Unicode in Python 3 | Python>Lang>tutorials-resources

• 2014-05-20 19:01:04 | Dynamic Programming with Python | Python>ML>tools-pkgs-exercises

• 2014-05-20 19:00:50 | The Light and Dark sides of Python name binding | Python>Lang>tutorials-resources

• 2014-05-20 19:00:39 | 10 Most Common Python Mistakes | Python>Lang>tutorials-resources

• 2014-05-20 19:00:15 | Creating Volcano Maps with Pandas and the Matplotlib Basemap Toolkit | Python>Vis

• 2014-05-20 18:59:59 | Python Partials are Fun! | Python>Lang>func-prog

• 2014-05-08 15:14:27 | Flask by Example - Part 2 - Postgres, SQLAlchemy, and Alembic | Python>Web>flask

• 2014-05-08 15:14:18 | Python Data Structures are Fast | Python>ML>tools-pkgs-exercises

• 2014-05-08 15:12:05 | a little note-taking app with Flask | Python>Web>flask

• 2014-05-08 10:31:18 | The Five Best Libraries For Building Data Visualizations | Tech>WebTools

• 2014-05-01 17:51:06 | Template:Unix commands | Tech>CmdTools

• 2014-04-30 17:45:57 | A Come-to-Buffett Moment | Finance>Factors

• 2014-04-30 13:24:19 | How To Get An (Almost) Free ETF Portfolio | Finance>ETFs

• 2014-04-29 12:10:58 | Smart Beta 4: Factor Exposure's Curveball | Finance>Factors

• 2014-04-29 12:09:31 | Risk Economics, Inc. | Finance>General

• 2014-04-29 12:09:31 | AIMA | Finance>HedgeFunds

• 2014-04-29 12:09:31 | The Journal of Alternative Investments | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Risk.net | Finance>General

• 2014-04-29 12:09:31 | The Hedge Fund Journal | Finance>HedgeFunds

• 2014-04-29 12:09:31 | HedgeWorld | Finance>HedgeFunds

• 2014-04-29 12:09:31 | FINalternatives | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Hedgeweek | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Investopedia | Finance>General

• 2014-04-29 12:09:31 | Asset Allocation for Muppets with a 401(k) | 25iq | Finance>General

• 2014-04-29 12:09:31 | International Association of Financial Engineers | Finance>General

• 2014-04-29 12:09:31 | Bank for International Settlements | Finance>General

• 2014-04-29 12:09:31 | AllAboutAlpha: Alternative Investment Analysis | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Morningstar | Finance>General

• 2014-04-29 12:09:31 | The Hedge Fund Journal | Finance>HedgeFunds

• 2014-04-29 12:09:31 | SeekingAlpha | Finance>General

• 2014-04-29 12:09:31 | Hedge Fund Matrix | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Hedge Fund Standards Board | Finance>HedgeFunds

• 2014-04-29 12:09:31 | New York Hedge Fund Roundtable | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Opalesque | Alternative Investments | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Hedge Fund Blogger | Finance>HedgeFunds

• 2014-04-29 12:09:31 | The Attain Alternative Investing Crash Course | Finance>HedgeFunds

• 2014-04-29 12:09:31 | CISDM : Hedge Funds | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Hedge Fund Consistency Index | Finance>HedgeFunds

• 2014-04-29 12:09:31 | Hedge Funds Review | Finance>HedgeFunds

• 2014-04-25 15:35:54 | Flask by Example - Part 1 | Python>Web>flask

• 2014-04-23 12:28:38 | CSS Vocabulary | Tech>WebTools

• 2014-04-21 15:52:00 | Writing Purposeful Unit Tests | Python>Lang>testing

• 2014-04-21 15:51:08 | OOP concepts in Python 2.x - Part 1 | Python>Lang>oo-meta

• 2014-04-21 15:44:10 | Lightweight Virtual Environments in Python 3.4 | Python>Lang>tutorials-resources

• 2014-04-21 15:38:52 | Overview — SimPy 3.0.4 documentation | Python>Lang>tutorials-resources

• 2014-04-21 15:36:30 | GitBook | Tech>WebTools

• 2014-04-11 14:19:28 | Speaking JavaScript | Tech>WebTools

• 2014-04-07 10:43:50 | Releasing a Python Project as open-source | Python>Lang>tutorials-resources

• 2014-04-07 10:43:27 | Dynamically generating Python test cases | Python>Lang>testing

• 2014-04-07 10:43:22 | Why Tests Are Useful | Python>Lang>testing

• 2014-04-07 10:42:31 | Detecting duplicate images using Python | Python>ML>applications

• 2014-04-07 10:40:57 | 20 Good Functions in Python | Captain DeadBones Cronicles | Python>Lang>tutorials-resources

• 2014-04-01 16:17:53 | MyFlaskTutorial | Python>Web>flask

• 2014-04-01 12:10:59 | An Introduction to Python's Flask Framework | Python>Web>flask

• 2014-04-01 12:10:41 | Tutorial — Flask 0.11-dev documentation | Python>Web>flask

• 2014-04-01 12:10:20 | Flask Mega Meta Tutorial for Data Scientists | Python>Web>flask

• 2014-03-28 14:32:34 | Python Property | Python>Lang>oo-meta

• 2014-03-28 14:13:51 | Meta programming with python | Python>Lang>oo-meta

• 2014-03-28 14:08:40 | How to Make Python Faster Without Trying That Much | Python>Lang>tutorials-resources

• 2014-03-28 14:04:40 | Fast scraping in python with asyncio | Python>Web>web-scrape

• 2014-03-28 13:48:59 | An Introduction to Python’s Debugger | Python>Lang>debug-log-except

• 2014-03-28 13:48:46 | What Is A Web Server Part 2: Headers And Cookies | Python>Web>frameworks-webservers

• 2014-03-21 12:26:25 | Tkinter Wiki | Python>Lang>gui-dev

• 2014-03-21 12:16:07 | Tkinter 8.5 reference: a GUI for Python | Python>Lang>gui-dev

• 2014-03-21 11:58:20 | Matplotlib tutorial | Python>Vis

• 2014-03-21 11:51:37 | matplotlib, pylab and pyplot | Python>Vis

• 2014-03-20 17:07:18 | Graphical User Interfaces with Tk — Python v2.7.6 documentation | Python>Lang>gui-dev

• 2014-03-20 17:00:21 | Thinking in Tkinter | Python>Lang>gui-dev

• 2014-03-20 15:30:08 | Tkinter tutorial | Python>Lang>gui-dev

• 2014-03-20 15:29:20 | wxPython tutorial | Python>Lang>gui-dev

• 2014-03-20 14:48:07 | A simple Paint App — Kivy | Python>Lang>applications

• 2014-03-17 14:25:08 | What Is A Web Server? | Python>Web>frameworks-webservers

• 2014-03-17 14:24:53 | What is a Web Framework? | Python>Web>frameworks-webservers

• 2014-03-13 17:52:52 | reStructuredText Primer (sphinx) | Python>Lang>packag-docu-distrib

• 2014-03-13 17:51:55 | A ReStructuredText Primer (docutils) | Python>Lang>tutorials-resources

• 2014-03-13 17:51:46 | Quick reStructuredText | Python>Lang>packag-docu-distrib

• 2014-03-13 17:48:34 | First Steps with Sphinx | Python>Lang>packag-docu-distrib

• 2014-03-13 17:41:45 | sphinx tutorial | Python>Lang>packag-docu-distrib

• 2014-03-05 16:19:24 | Learning Pandas through payroll taxes and paystubs | Python>ML>tools-pkgs-exercises

• 2014-03-05 16:18:50 | Performance overhead when applying decorators to methods | Python>Lang>tutorials-resources

• 2014-03-05 16:17:49 | Programmatically populating a Django database | Python>Web>django

• 2014-03-05 16:17:21 | Using Django for (mostly) static sites | Python>Web>django

• 2014-03-05 16:13:49 | Using threads in Python | Python>Lang>multitasking

• 2014-03-05 16:12:39 | Python Concurrency: An Intro to Threads | Python>Lang>multitasking

• 2014-03-05 16:10:31 | Create a Python 3 environment using Docker | Python>Lang>tutorials-resources

• 2014-03-05 16:10:02 | How to expose a Flask local development server to the public using SSH remote port forwarding | Python>Web>flask

• 2014-03-05 16:09:42 | How to Create a Python Library | Python>Lang>packag-docu-distrib

• 2014-03-04 15:59:09 | Settings — Pelican 3.3.0 documentation | Python>Web>static-websites

• 2014-02-28 17:18:47 | Comp-Engine Time Series | Tech>Databases

• 2014-02-14 12:17:38 | You-Dont-Know-JS | Tech>WebTools

• 2014-02-07 16:36:55 | Full Stack Python | Python>Lang>applications

• 2014-02-07 16:36:20 | pytest fixtures nuts and bolts | Python>Lang>testing

• 2014-02-07 16:35:52 | Starting A Python Project The Right Way | Python>Lang>packag-docu-distrib

• 2014-02-07 16:33:41 | How to Create “Immutable” Classes in Python | Python>Lang>oo-meta

• 2014-02-07 16:31:57 | Python and Flask Are Ridiculously Powerful | Python>Web>flask

• 2014-02-07 16:29:48 | Python 101: Writing a cleanup script | Python>Lang>tutorials-resources

• 2014-02-07 16:29:21 | JelteF/PyLaTeX | Python>Lang>interop

• 2014-02-07 16:27:02 | Parallelism in one line | Python>Lang>tutorials-resources

• 2014-02-07 16:26:42 | The open function explained | Python>Lang>tutorials-resources

• 2014-02-07 16:26:05 | pytest: no-boilerplate testing (part 2) | Python>Lang>testing

• 2014-02-07 16:14:13 | Why Are There So Many Pythons? From Bytecode to JIT (with code) | Python>Lang>tutorials-resources

• 2014-02-03 10:08:18 | Static Site Generators | Tech>WebTools

• 2014-02-03 09:58:19 | Online LaTeX Editor ShareLaTeX | Tech>WebTools

• 2014-02-03 09:47:21 | explainshell.com - match command-line arguments to their help text | Tech>CmdTools

• 2014-02-03 09:44:53 | All commands | commandlinefu.com | Tech>CmdTools

• 2014-01-30 09:14:54 | CSS Font Stack :: A complete collection of web safe CSS font stacks | Tech>WebTools

• 2014-01-24 11:39:23 | poole : simple websites using markdown | Tech>WebTools

• 2014-01-17 14:58:16 | Bootstrap 3: the new grid system, for starters | Tech>WebTools

• 2014-01-17 11:20:34 | Twitter Bootstrap Tutorial – Up and running with Twitter Bootstrap in 20 Minutes | Tech>WebTools

• 2014-01-10 14:44:11 | How you implemented your Python decorator is wrong | Python>Lang>func-prog

• 2014-01-10 14:42:21 | Guide to Mocking in Python for Better Unit Tests | Python>Lang>testing

• 2014-01-10 14:41:56 | Must-have Django packages. | Python>Web>django

• 2014-01-10 14:38:32 | Django-Unchained by NahimNasser | Python>Web>django

• 2014-01-06 10:26:44 | KompoZer - Easy web authoring | Tech>WebTools

• 2013-12-28 19:25:11 | Understanding Twitter Bootstrap 3 | Tech>WebTools

• 2013-12-28 19:24:52 | Getting Started with Bootstrap 3 | Tech>WebTools

• 2013-12-24 12:43:38 | Responsive CSS Framework Comparison | Tech>WebTools

• 2013-12-24 12:06:23 | Useful Python Functions and Features You Need to Know | Python>Lang>tutorials-resources

• 2013-12-24 12:03:52 | D3 Viewer for Matplotlib Visualizations | Python>Vis

• 2013-12-24 12:01:39 | graph-tool: Efficent network analysis with python | Python>Vis

• 2013-12-24 10:25:57 | Can I use... Support tables for HTML5, CSS3, etc | Tech>WebTools

• 2013-12-24 09:46:49 | Flask Testing with Mock and Nose | Python>Lang>testing

• 2013-12-24 09:43:40 | Advanced Regular Expression Tips and Techniques | Python>Lang>tutorials-resources

• 2013-12-24 09:38:07 | Understanding Unit Testing | Python>Lang>testing

• 2013-12-24 09:37:52 | Natural Language Processing in the kitchen | Python>ML>nlp-llm

• 2013-12-24 09:37:23 | Making Django Fasssst | Python>Web>django

• 2013-12-13 19:11:32 | Dependencies with Python: a bit of history | Python>Lang>packag-docu-distrib

• 2013-12-13 19:11:11 | Realtime websites with Flask, Gevent and Server-Sent Events | Python>Web>flask

• 2013-12-13 19:10:41 | Profiling Python Like a Boss | Python>Lang>tutorials-resources

• 2013-12-13 19:10:31 | Kernel Density Estimation in Python | Python>ML>misc-topics

• 2013-12-13 19:09:27 | Improve Your Python: Decorators Explained | Python>Lang>func-prog

• 2013-12-13 19:08:06 | Parallelism and Serialization | Python>Lang>tutorials-resources

• 2013-12-13 19:07:45 | Sound in Python | Python>AV>audio-music

• 2013-12-04 11:01:27 | Weighted Interval Scheduling: a dynamic programming exercise | Python>ML>misc-topics

• 2013-12-04 11:00:08 | When to use assert | Python>Lang>tutorials-resources

• 2013-12-04 10:59:19 | Introduction to the Python Interpreter, Part 1: Function Objects | Python>Lang>func-prog

• 2013-12-04 10:59:01 | Debugging Python Like a Boss | Python>Lang>debug-log-except

• 2013-12-04 10:55:25 | Python Yields are Fun! | Python>Lang>iter-gen-comprehen

• 2013-12-04 10:55:16 | Extract text from Word files (docx) simply | Python>Lang>interop

• 2013-12-04 10:51:53 | robot game | Python>Lang>applications

• 2013-11-25 21:01:33 | Quantopian - $GLD/$IAU Pairs trading template | Finance>TradingStrategies

• 2013-11-19 11:51:35 | The homogenization of scientific computing, or why Python is steadily eating other languages’ lunch | Python>ML>tools-pkgs-exercises

• 2013-11-18 10:44:54 | The story of None, True and False (and an explanation of literals, keywords and builtins thrown in) | Python>Lang>tutorials-resources

• 2013-11-18 10:40:42 | Painless Streaming Plots with Bokeh | Python>Vis

• 2013-11-18 10:06:23 | dygraphs.com | Tech>WebTools

• 2013-11-11 15:33:38 | Aggregating & plotting time series in python | Python>Vis

• 2013-11-11 15:31:00 | wxPython 101: Using Frame Styles | Python>Lang>gui-dev

• 2013-10-25 15:42:50 | Argument binding in python | Python>Lang>tutorials-resources

• 2013-10-25 15:42:14 | Why Python uses 0-based indexing | Python>Lang>tutorials-resources

• 2013-10-25 15:40:39 | So You’d Like To Make a Map Using Python | Python>Vis

• 2013-10-25 15:40:21 | Dawn Of The Thread | Python>Lang>multitasking

• 2013-10-21 15:13:30 | Night Of The Living Thread | Python>Lang>multitasking

• 2013-10-21 14:54:18 | Training Random Forests in Python using the GPU | Python>ML>trees-graphs

• 2013-10-21 14:51:53 | ggplot python | Python>Vis

• 2013-10-11 16:30:19 | Read and write video frames in Python using FFMPEG | Python>AV>video-movies

• 2013-10-11 16:29:35 | Mapping Data in Python with Pandas and Vincent | Python>Vis

• 2013-10-09 15:25:49 | using Python Virtual Environments | Python>Lang>tutorials-resources

• 2013-10-04 16:34:45 | Introduction to Pandas and Vincent | Python>ML>tools-pkgs-exercises

• 2013-09-25 11:04:56 | Understanding Threads in Python | Python>Lang>multitasking

• 2013-09-24 10:19:32 | BeautifulSoup 4 Python. Web Scraping. Python Tutorials. | Python>Web>web-scrape

• 2013-09-13 17:09:10 | I/O performance in Python | Python>Lang>tutorials-resources

• 2013-09-13 16:57:45 | A Quick Primer on Writing Readable Python Code for New Developers | Python>Lang>tutorials-resources

• 2013-09-13 16:56:10 | Of solving the rubik's from scratch | Python>Lang>applications

• 2013-09-09 13:13:12 | Brilliant or insane code? | Python>Lang>tutorials-resources

• 2013-09-09 13:08:46 | Four Tricks for Comprehensions in Python | Python>Lang>iter-gen-comprehen

• 2013-09-09 13:06:22 | Python, scoping, and closures | Python>Lang>func-prog

• 2013-09-09 12:10:42 | First impressions of the IPython Notebook | Python>Lang>tutorials-resources

• 2013-09-03 09:36:01 | MoviePy | Python>AV>video-movies

• 2013-09-03 09:33:13 | Long running processes in Python | Python>Lang>tutorials-resources

• 2013-08-27 15:54:42 | Using python to generate awesome linux desktop themes | Python>Lang>applications

• 2013-08-27 15:54:20 | Open Sourcing a Python Project the Right Way | Python>Lang>tutorials-resources

• 2013-08-27 15:54:07 | Processing Video with Python | Python>AV>video-movies

• 2013-08-27 15:53:54 | Python Web Applications With Flask - Part II (app creation) | Python>Web>flask

• 2013-08-19 09:52:42 | Optimizing Cython code | Python>Lang>tutorials-resources

• 2013-08-09 16:11:42 | Exploring Python’s new Enum type | Python>Lang>tutorials-resources

• 2013-08-09 16:11:07 | Pythonic sensibilities | Python>Lang>tutorials-resources

• 2013-08-09 16:10:35 | Analyzing Python C Extensions With CPyChecker | Python>Lang>interop

• 2013-08-09 16:10:20 | Functional linked lists in Python | Python>Lang>func-prog

• 2013-07-22 18:19:23 | Python style guide (Khan academy) | Python>Lang>tutorials-resources

• 2013-07-22 18:19:01 | lambda functions | Python>Lang>func-prog

• 2013-07-15 10:12:27 | Reducers explained (through Python) | Python>Lang>func-prog

• 2013-07-15 10:12:09 | Navigating the Postmodern Python World | Python>Lang>tutorials-resources

• 2013-07-15 10:11:22 | Common Newbie Mistakes, Part 1 | Python>Lang>tutorials-resources

• 2013-07-15 09:55:32 | Facts and myths about Python names and values | Python>Lang>tutorials-resources

• 2013-07-08 09:24:32 | Basic JavaScript: an introduction to the language | Tech>WebTools

• 2013-07-08 09:24:10 | AngularJS: an Overview | Tech>WebTools

• 2013-07-08 09:21:33 | Pandas and Python: Top 10 | Python>ML>tools-pkgs-exercises

• 2013-07-08 09:21:03 | hash, id and Dictionary Order | Python>Lang>tutorials-resources

• 2013-07-08 09:20:06 | The Updated Guide to Unicode on Python | Python>Lang>tutorials-resources

• 2013-07-08 09:19:28 | Python's Hardest Problem, Revisited | Python>Lang>tutorials-resources

• 2013-07-08 09:18:53 | You Should Be Using Nginx + UWSGI | Python>Web>frameworks-webservers

• 2013-06-26 16:17:57 | The Definitive C++ Book Guide and List | Tech>C++

• 2013-06-24 10:03:44 | Sharing Code Across Applications with Python | Python>Lang>tutorials-resources

• 2013-06-24 09:57:50 | Python Descriptors Demystified | Python>Lang>tutorials-resources

• 2013-06-20 15:13:15 | The Dark Side of Decorators | Python>Lang>func-prog

• 2013-06-20 15:12:51 | OpenCV Face Detection For Cropping Faces | Python>ML>applications

• 2013-06-20 15:09:59 | Creating an Application In Kivy: Part 2 | Python>Lang>gui-dev

• 2013-06-20 14:50:54 | Numba vs. Cython: Take 2 | Python>ML>tools-pkgs-exercises

• 2013-06-19 10:22:08 | Turn an Old Computer into a Networked Backup, Streaming, or Torrenting Machine with Ubuntu | Tech>LinuxUbuntu

• 2013-06-19 03:53:14 | Installing R on Ubuntu 12.04 | Notes on Ubuntu (Linux) computing | Tech>LinuxUbuntu

• 2013-06-14 19:07:09 | PPA for Netflix Desktop App | iheartubuntu | Tech>LinuxUbuntu

• 2013-06-14 16:27:44 | Content-based image classification in Python | Python>ML>applications

• 2013-06-14 16:23:28 | Pydoop: Writing Hadoop Programs in Python | Python>Lang>bigdata-processing

• 2013-06-14 16:22:51 | Using SQL, pandas, and Python to Work With Data | Python>ML>tools-pkgs-exercises

• 2013-06-14 16:22:42 | Python debugging tools | Python>Lang>debug-log-except

• 2013-06-14 16:21:15 | mher/chartkick.py · GitHub | Python>Web>apps-dashboards

• 2013-06-07 09:17:44 | Exploring Open Data with Pandas and IPython at the Berkeley I School | Python>ML>tools-pkgs-exercises

• 2013-06-07 09:15:06 | Python Decorators | Python>Lang>func-prog

• 2013-06-07 09:14:37 | Binary Integer Programming With Python | Python>ML>misc-topics

• 2013-06-07 09:13:40 | Linux System Mining with Python | Python>Lang>tutorials-resources

• 2013-05-31 09:57:45 | A look at some of Python's useful itertools | Python>Lang>iter-gen-comprehen

• 2013-05-31 09:57:33 | Accelerating Python Libraries with Numba (Part 2) | Python>ML>tools-pkgs-exercises

• 2013-05-24 15:52:23 | Using Python's gzip and StringIO to compress data in memory | Python>Lang>tutorials-resources

• 2013-05-24 14:24:19 | Numerical optimizers for Logistic Regression | Python>ML>misc-topics

• 2013-05-24 14:22:42 | TDS, MSSQL, and Python | Python>Lang>database

• 2013-05-24 14:21:18 | Realtime Data Plotting in Python | Python>Vis

• 2013-05-24 14:18:05 | A Python Developer's Guide to PowerShell | Python>Lang>tutorials-resources

• 2013-05-14 11:07:44 | Week 6: Fractals - The Pi-Cubed Programming Challenge | Python>Lang>tutorials-resources

• 2013-05-14 11:06:57 | Greg Reda | More web scraping with Python (and a map) | Python>Web>web-scrape

• 2013-05-14 11:06:13 | Creating Map Visualizations in <10 lines of Python | Python>Vis

• 2013-05-14 11:02:46 | The Dynamics of Catching Exceptions in Python | Python>Lang>debug-log-except

• 2013-05-14 10:43:33 | Accelerating Python Libraries with Numba (Part 1) | Python>ML>tools-pkgs-exercises

• 2013-05-14 10:43:08 | Using dict() Instead of {} in CPython 2.7 | Python>Lang>tutorials-resources

• 2013-05-02 14:03:34 | Benchmarking Nearest Neighbor Searches in Python | Python>ML>train-eval-explain-deploy

• 2013-04-27 19:46:56 | Small parts of Python builtins functionality you might overlook | Python>Lang>tutorials-resources

• 2013-04-27 19:45:07 | Compressive Sampling | Python>ML>misc-topics

• 2013-04-27 19:41:09 | Plotting Time Series with Pandas DatetimeIndex and Vincent | Python>Vis

• 2013-04-27 19:40:34 | Multithreaded Python Tutorial | Python>Lang>multitasking

• 2013-04-22 09:17:20 | A non-magical introduction to Pip and Virtualenv for Python beginners | Python>Lang>tutorials-resources

• 2013-04-18 13:24:30 | 11 Things I Wish I Knew About Django Development Before I Started My Company | Python>Web>django

• 2013-04-18 13:24:05 | Python Gotchas | Python>Lang>tutorials-resources

• 2013-04-18 13:21:19 | pandas & google analytics | Python>ML>tools-pkgs-exercises

• 2013-04-18 13:19:31 | How to Build an API with Python and Flask | Python>Web>flask

• 2013-04-18 13:18:54 | Generating Music Algorithmically | Python>AV>audio-music

• 2013-04-12 15:52:43 | Python's Magical Self | Python>Lang>oo-meta

• 2013-04-12 15:52:26 | Parameter Optimization with Zipline, PiCloud, StarCluster, and IPython Parallel | Finance>Quant

• 2013-04-12 15:51:56 | Scipy lecture notes | Python>ML>tools-pkgs-exercises

• 2013-04-12 15:51:45 | Monte Carlo Option Pricer | Finance>Quant

• 2013-04-11 12:45:55 | Improve Your Python: 'yield' and Generators Explained | Python>Lang>iter-gen-comprehen

• 2013-04-11 12:45:46 | Real world Pandas: Binning and Grouping | Python>ML>tools-pkgs-exercises

• 2013-04-11 12:45:00 | SymPy and Theano -- Code Generation | Python>Lang>bigdata-processing

• 2013-04-11 12:43:11 | smoothing time series in python. Part II: wiener filter and smoothing splines | Python>ML>time-series

• 2013-04-11 12:42:58 | Python, Catastrophic Regular Expressions and the GIL | Python>Lang>tutorials-resources

• 2013-04-11 12:42:47 | Declaring dependencies in Python | Python>Lang>tutorials-resources

• 2013-04-11 12:38:59 | proycon/pynlpl · GitHub | Python>ML>nlp-llm

• 2013-04-11 12:36:41 | smoothing time series in python. Part I: filtering theory | Python>ML>time-series

• 2013-04-04 18:17:41 | Core Concepts of Django Forms | Python>Web>django

• 2013-04-04 18:17:11 | Easy and Practical Web scraping in Python | Python>Web>web-scrape

• 2013-04-01 09:48:37 | Python data tools just keep getting better | Python>ML>tools-pkgs-exercises

• 2013-04-01 09:48:14 | Scaling Machine Learning in Python | Python>ML>train-eval-explain-deploy

• 2013-04-01 09:46:35 | Effective Django | Python>Web>django

• 2013-04-01 09:38:44 | Matplotlib and the Future of Visualization in Python | Python>Vis

• 2013-04-01 09:38:16 | The Flask Mega-Tutorial | Python>Web>flask

• 2013-04-01 09:38:05 | Speeding Up Your Python Code | Python>Lang>tutorials-resources

• 2013-03-27 09:33:02 | Getting Started with Python for Data Scientists | Python>ML>tools-pkgs-exercises

• 2013-03-27 09:20:33 | Adding Empty Set Literals to Python | Python>Lang>tutorials-resources

• 2013-03-27 09:20:20 | Stateful testing with hypothesis | Python>Lang>tutorials-resources

• 2013-03-18 09:30:28 | Expanding, Unpacking, or ... Splatting? | Python>Lang>tutorials-resources

• 2013-03-14 20:52:37 | TypeScript | Tech>WebTools

• 2013-03-14 20:52:37 | Django Best Practices | Python>Web>django

• 2013-03-14 20:52:37 | MongoDB for Developers (online course) | Tech>Databases

• 2013-03-14 20:52:37 | Dart: Structured web apps | Tech>WebTools

• 2013-03-14 20:52:37 | Pandas and Python: Top 10 | Python>ML>tools-pkgs-exercises

• 2013-03-14 13:05:38 | Let's Scrape the Web with Python 3 | Python>Web>web-scrape

• 2013-03-13 22:05:29 | Twitter Bootstrap Tutorial | Tech>WebTools

• 2013-03-12 17:13:05 | jsFiddle | Tech>WebTools

• 2013-03-11 11:03:33 | Threading in Python | Python>Lang>multitasking

• 2013-03-11 10:32:30 | Chrome Developer Tools | Tech>WebTools

• 2013-03-11 10:29:13 | WebInspector – WebKit | Tech>WebTools

• 2013-03-11 10:27:37 | albertosantini/node-conpa · GitHub | Tech>WebTools

• 2013-03-11 10:27:16 | Learning JavaScript Design Patterns | Tech>WebTools

• 2013-03-11 10:26:41 | Large-Scale JavaScript Application Patterns | Tech>WebTools

• 2013-03-08 21:46:04 | jQuery Fundamentals :: A guide to the basics of jQuery | Tech>WebTools

• 2013-03-08 13:37:33 | Creating a Site (Not a Blog) with Nikola | Python>Web>static-websites

• 2013-03-08 13:37:33 | Why python, ruby and javascript are slow | Python>Lang>tutorials-resources

• 2013-03-08 13:37:33 | web2py book | Python>Web>frameworks-webservers

• 2013-03-08 13:37:33 | Logistic Regression in Python | Python>ML>misc-topics

• 2013-03-08 11:58:24 | R and pandas | Python>ML>tools-pkgs-exercises

• 2013-03-08 11:52:08 | Timing and Profiling in IPython | Python>Lang>tutorials-resources

• 2013-03-08 11:51:00 | Web Scraping 101 with Python | Python>Web>web-scrape

• 2013-03-08 11:34:15 | The controller pattern is awful (and other OO heresy) - fuzzy notepad | Python>Lang>oo-meta

• 2013-03-04 10:32:15 | javascript_refererence.pdf | Tech>WebTools

• 2013-03-04 10:31:20 | JavaScript Tutorial | Tech>WebTools

• 2013-03-04 10:28:09 | JavaScript Cheat Sheet by Dave Child | Tech>WebTools

• 2013-03-04 10:27:55 | D3 for Mere Mortals | Tech>WebTools

• 2013-03-04 10:18:26 | Path of a PyQt-er | Python>Lang>gui-dev

• 2013-03-04 10:18:26 | Iterables, Iterators and Generators | Python>Lang>iter-gen-comprehen

• 2013-03-04 09:16:03 | Gevent Tutorial (concurrency library) | Python>Lang>multitasking

• 2013-02-25 11:25:45 | Beginning Test-Driven Development in Python | Python>Lang>tutorials-resources

• 2013-02-25 11:25:45 | Documenting python code using sphinx and github | Python>Lang>packag-docu-distrib

• 2013-02-25 11:23:28 | Getting Started with Django | Python>Web>django

• 2013-02-25 11:15:28 | pudb 2012.3 : Python debugger, full-screen console-based | Python>Lang>debug-log-except

• 2013-02-25 11:15:28 | Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | Python>ML>bayesian

• 2013-02-15 19:17:04 | Drastically Improve Your Python: Understanding Python's Execution Model | Python>Lang>tutorials-resources

• 2013-02-15 19:16:24 | Better typography for IPython notebooks | Python>Lang>debug-log-except

• 2013-02-15 17:16:30 | Django-Unchained : intro to python and django | Python>Web>django

• 2013-02-15 17:14:41 | Using IPython to access your libraries easily | Black Aura Tech Blog | Python>Lang>tutorials-resources

• 2013-02-15 17:04:37 | Start Writing More Classes | Python>Lang>oo-meta

• 2013-02-15 17:04:06 | Build rapid and lightweight static websites with Hyde | Python>Web>static-websites

• 2013-02-15 17:00:16 | Write Cleaner Python: Use Exceptions | Python>Lang>debug-log-except

• 2013-02-13 16:53:01 | The Hitchhiker’s Guide to Packaging — The Hitchhiker's Guide to Packaging 1.0 documentation | Python>Lang>packag-docu-distrib

• 2013-02-13 16:45:01 | Sphinx documentation generator | Python>Lang>packag-docu-distrib

• 2013-02-12 18:34:50 | TKTL / Algorithm Libraries | Tech>C++

• 2013-02-12 18:34:44 | Learn C++ | Tech>C++

• 2013-02-12 18:34:42 | C++ Annotations Version 9.6.0 | Tech>C++

• 2013-02-12 18:34:17 | cplusplus.com | Tech>C++

• 2013-02-12 18:33:59 | cppreference.com | Tech>C++

• 2013-02-08 10:33:30 | The Story of None | Python>Lang>tutorials-resources

• 2013-02-08 10:32:22 | Typing keyboard + python = Musical instrument ! | Python>AV>audio-music

• 2013-02-08 10:20:30 | Of being lazy – Paul Masurel | Python>Lang>tutorials-resources

• 2013-02-04 11:57:46 | Program Arcade Games and Learn Computer Science | Python>Lang>applications

• 2013-02-04 11:54:41 | Peekaboo: pystruct: more structured prediction with python | Python>ML>tools-pkgs-exercises

• 2013-02-04 11:52:33 | Decorators, Scrapers and Generators | Python>Lang>iter-gen-comprehen

• 2013-02-04 11:50:12 | Artificial Intelligence in Motion: Machine learning and Data Mining - Association Analysis with Python | Python>ML>misc-topics

• 2013-02-04 11:49:06 | Fast Non-Standard Data Structures for Python | Python>Lang>tutorials-resources

• 2013-02-04 11:40:29 | nose introduction - Python Testing | Python>Lang>testing

• 2013-02-04 11:39:50 | Python Packages and Environments with conda | Python>Lang>tutorials-resources

• 2013-02-04 11:38:36 | Python Shortcuts for the Python Beginner | Python>Lang>tutorials-resources

• 2013-01-29 11:18:16 | Tutorials · mbostock/d3 Wiki | Tech>WebTools

• 2013-01-29 10:28:19 | Python cheat sheets - Imgur | Python>Lang>tutorials-resources

• 2013-01-29 10:23:36 | Breaking the MintEye image CAPTCHA in 23 lines of Python | Python>ML>applications

• 2013-01-29 10:21:55 | Various Technique of Debugging for Python | Python>Lang>debug-log-except

• 2013-01-29 10:21:11 | Depth- and Breadth-First Search | Python>ML>trees-graphs

• 2013-01-29 10:20:01 | Getting Started with Django | Python>Web>django

• 2013-01-29 10:19:22 | Getting Started with Pandas – Predicting SAT Scores for New York City Schools | no free hunch | Python>ML>tools-pkgs-exercises

• 2013-01-29 10:18:49 | From Instapaper and Pythonista To Dropbox and Evernote As PDF | Python>Lang>applications

• 2013-01-22 10:01:50 | pytest introduction - Python Testing | Python>Lang>testing

• 2013-01-22 10:01:42 | simpleai-team/simpleai · GitHub | Python>ML>many-methods

• 2013-01-22 10:01:06 | kachayev/fn.py · GitHub | Python>Lang>func-prog

• 2013-01-17 18:44:17 | gleitz/howdoi · GitHub | Python>Lang>tutorials-resources

• 2013-01-17 18:44:17 | A Guide to Python Frameworks for Hadoop | Python>Lang>tutorials-resources

• 2013-01-17 18:44:17 | Decorators and Functional Python | Python>Lang>func-prog

• 2013-01-17 18:44:17 | Python: The Dictionary Playbook | Python>Lang>tutorials-resources

• 2013-01-17 18:44:17 | An Introduction to Python’s Flask Framework | Python>Web>flask

• 2013-01-17 12:59:37 | Messing around with Strings and Colors in Python Command Line | Python>Lang>tutorials-resources

• 2013-01-17 12:55:30 | How to speed up Python code 114000 timjes | Python>Lang>tutorials-resources

• 2012-12-31 11:57:19 | vinyguitar/pygchart | Python>Vis

• 2012-12-31 11:57:07 | Regular Expressions Will Stab You in the Back | Python>Lang>tutorials-resources

• 2012-12-31 11:53:07 | Customize matplotlib plots | Python>Vis

• 2012-12-31 11:52:16 | Quick Tips on Making Your Code Python 3 Ready | Python>Lang>tutorials-resources

• 2012-12-31 11:51:18 | Pweave - reports from data with Python | Python>Lang>reporting

• 2012-12-31 11:49:47 | List Comprehensions for Fun and Profit | Python>Lang>iter-gen-comprehen

• 2012-12-31 11:16:36 | ContinuumIO/blaze | Python>ML>tools-pkgs-exercises

• 2012-12-31 11:10:56 | Why PyPy is the future of Python | Python>Lang>tutorials-resources

• 2012-12-28 14:40:55 | Gallery · mbostock/d3 Wiki | Tech>WebTools

• 2012-12-28 12:09:12 | web2py: Learn Web Development | Python>Web>frameworks-webservers

• 2012-12-28 12:08:15 | web2py Examples | Python>Web>frameworks-webservers

• 2012-12-28 12:07:18 | mdipierro/web2py-appliances | Python>Web>frameworks-webservers

• 2012-12-20 16:52:16 | javaguirre/gramophone · GitHub | Python>AV>audio-music

• 2012-12-14 21:47:50 | Python 3 Wall of Superpowers | Python>Lang>tutorials-resources

• 2012-12-14 21:47:50 | Mapping Twitter’s Python and Data Science Communities | Python>Vis

• 2012-12-14 14:14:59 | Better Python APIs | Python>Lang>tutorials-resources

• 2012-12-13 22:14:41 | Visual Inspection of Random Numbers | Python>Vis

• 2012-12-13 22:14:41 | jedi | Python>Lang>tutorials-resources

• 2012-12-13 22:14:41 | Python tricks: making sure a function is only called once | Python>Lang>tutorials-resources

• 2012-12-13 22:14:41 | Minesweeper in Matplotlib | Python>Lang>applications

• 2012-12-13 22:14:41 | Singular Value Decomposition in SciPy | Python>ML>misc-topics

• 2012-12-13 22:14:40 | Intro to web2py | Python>Web>frameworks-webservers

• 2012-12-13 11:32:29 | PyML - machine learning in Python | Python>ML>tools-pkgs-exercises

• 2012-12-07 16:54:22 | Codecademy: HTML & CSS for Beginners | Tech>WebTools

• 2012-12-07 16:52:10 | A Beginner's Guide to HTML & CSS | Tech>WebTools

• 2012-12-07 16:51:30 | Skeleton: Beautiful Boilerplate for Responsive, Mobile-Friendly Development | Tech>WebTools

• 2012-12-07 16:51:01 | w3schools: CSS Tutorial | Tech>WebTools

• 2012-12-07 16:35:13 | Pelican: a static blog generator for Pythonistas | Python>Web>static-websites

• 2012-12-07 16:22:05 | HTML5 Boilerplate | Tech>WebTools

• 2012-12-07 16:18:20 | PyT | Python>Web>templates

• 2012-12-06 11:24:46 | fbone | Python>Web>frameworks-webservers

• 2012-12-06 11:23:09 | koenbok/Cactus | Python>Web>static-websites

• 2012-12-06 11:19:55 | PyPy: Dynamic Language Compilation Framework | Python>Lang>tutorials-resources

• 2012-12-06 11:17:47 | Improving Your Python Productivity | Python>Lang>tutorials-resources

• 2012-12-06 11:17:09 | Python Scientific Lecture Notes | Python>ML>tools-pkgs-exercises

• 2012-12-06 11:15:56 | A Primer on Python Metaclasses | Python>Lang>oo-meta

• 2012-12-06 11:15:13 | Introducing forever.fm | Python>Lang>applications

• 2012-11-30 15:08:40 | Learning Python the pragmatic way | Python>Lang>tutorials-resources

• 2012-11-29 21:13:12 | Kivy: Crossplatform GUI Framework | Python>Lang>gui-dev

• 2012-11-29 21:13:12 | pymc-devs/pymc | Python>ML>bayesian

• 2012-11-29 12:25:49 | Text Classification for Sentiment Analysis – NLTK + Scikit-Learn | StreamHacker | Python>ML>nlp-llm

• 2012-11-23 14:41:08 | arrow | Python>Lang>tutorials-resources

• 2012-11-23 14:40:29 | loving python | Python>Lang>tutorials-resources

• 2012-11-23 14:40:17 | A Guide to Python's Magic Methods | Python>Lang>tutorials-resources

• 2012-11-23 12:01:22 | Chronology Of Packaging | Python>Lang>packag-docu-distrib

• 2012-11-23 12:00:16 | Understanding decorators | Python>Lang>func-prog

• 2012-11-23 12:00:07 | Traps for the Unwary in Python’s Import System | Python>Lang>tutorials-resources

• 2012-11-23 10:53:48 | Programming AI Bots for Zombie Dice | Python>Lang>applications

• 2012-11-23 10:53:47 | How To Write A Calculator in 50 Python Lines (Without Eval) | Python>Lang>applications

• 2012-11-23 10:52:18 | How To Package Your Python Code | Python>Lang>packag-docu-distrib

• 2012-11-16 16:37:20 | Is Python call-by-value or call-by-reference? Neither. | Python>Lang>tutorials-resources

• 2012-11-16 16:37:11 | pyScss | Python>Lang>tutorials-resources

• 2012-11-16 16:34:11 | 7 Python Libraries you should know about | Python>Lang>tutorials-resources

• 2012-11-16 16:17:10 | CodernityDB pure python, NoSQL, fast database | Python>Lang>database

• 2012-11-15 11:11:43 | mingus - Music package for Python - Google Project Hosting | Python>AV>audio-music

• 2012-11-15 11:10:53 | The Performance Impact of Using dict() Instead of {} in CPython 2.7 | Python>Lang>tutorials-resources

• 2012-11-15 11:10:34 | Visualizing Adjacency Matrices in Python | The Sociograph | Python>Vis

• 2012-11-08 20:37:02 | Peekaboo: A Wordcloud in Python | Python>Lang>applications

• 2012-11-08 14:27:37 | astroML: Python Datamining for Astronomy | Python>ML>tools-pkgs-exercises

• 2012-11-08 14:23:31 | Vim & Python: Making yourself at home | Python>Lang>tutorials-resources

• 2012-11-04 16:29:41 | albertz/music-player | Python>AV>audio-music

• 2012-11-04 16:29:41 | Multiple inheritance is hard | Python>Lang>oo-meta

• 2012-11-02 14:57:29 | How to extract just the text from html page articles | Python>Web>web-scrape

• 2012-11-02 14:39:57 | Functional Programming with Python | Python>Lang>func-prog

• 2012-11-02 14:38:04 | Make a game on Raspberry Pi | Python>Lang>applications

• 2012-11-02 14:32:24 | PyOpenGL -- The Python OpenGL Binding | Python>Lang>gui-dev

• 2012-10-31 10:41:20 | Starting a Django 1.4 Project the Right Way | Python>Web>django

• 2012-10-25 20:00:17 | Using python and k-means to find the dominant colors in images | Python>ML>clustering

• 2012-10-25 20:00:17 | Matplotlib and the Dark Sky API | Python>Vis

• 2012-10-25 20:00:17 | Python Templates Benchmark | Python>Web>templates

• 2012-10-25 20:00:17 | Learning to rank with scikit-learn: the pairwise transform | Python>ML>tools-pkgs-exercises

• 2012-10-25 13:14:18 | Efficient Overlapping Windows with Numpy | Python>ML>tools-pkgs-exercises

• 2012-10-19 18:15:25 | Python Extension Packages for Windows | Python>Lang>packag-docu-distrib

• 2012-10-18 12:22:52 | XKCD-style plots in Matplotlib | Python>Vis

• 2012-10-18 12:22:00 | Pyramid web framework : pyramid_blogr’s documentation | Python>Web>frameworks-webservers

• 2012-10-18 12:17:23 | Bundling Python files into a stand-alone executable | Python>Lang>packag-docu-distrib

• 2012-10-18 12:15:14 | PyCX Project : complex systems | Python>ML>misc-topics

• 2012-10-12 14:50:34 | Building websites in Python with Flask | Python>Web>flask

• 2012-10-11 20:44:23 | Explore Python, machine learning, and the NLTK library | Python>ML>nlp-llm

• 2012-10-11 20:44:23 | clize | Python>Lang>applications

• 2012-10-11 12:03:21 | Things you didn't know about Python | Python>Lang>tutorials-resources

• 2012-10-05 15:28:20 | pep8online.com | Python>Lang>tutorials-resources

• 2012-10-05 15:19:25 | Idiomatic Python | Python>Lang>tutorials-resources

• 2012-10-04 21:02:47 | Getting started with Python in HPC | Python>Lang>bigdata-processing

• 2012-10-04 11:10:15 | Working with the Sunlight Labs APIs | Python>ML>tools-pkgs-exercises

• 2012-09-28 11:38:51 | Getting started with Django on AWS Elastic Beanstalk | Python>Web>django

• 2012-09-28 11:35:27 | algorithms | Python>Lang>tutorials-resources

• 2012-09-20 11:52:58 | An approach to computational spatial hearing | Python>ML>applications

• 2012-09-20 11:41:24 | PyMob: Mobile apps in Python | Python>Lang>applications

• 2012-09-20 11:40:43 | Reconstructing Images Using Damaged Copies (in Python) | Python>ML>applications

• 2012-09-20 11:38:15 | Python for Bash scripters | Python>Lang>tutorials-resources

• 2012-09-20 11:36:50 | Python 101: Exception Handling | Python>Lang>debug-log-except

• 2012-09-19 11:52:22 | NumPy User Guide | Python>ML>tools-pkgs-exercises

• 2012-09-16 23:29:35 | Python Fast Fourier Transform | Python>ML>misc-topics

• 2012-09-16 23:29:35 | Performance "Tuning": running in 1/100th the time | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Distribution fitting with scipy | Python>ML>misc-topics

• 2012-09-16 23:29:35 | Matplotlib Animation Tutorial | Python>Vis

• 2012-09-16 23:29:35 | Numba vs Cython | Python>ML>tools-pkgs-exercises

• 2012-09-16 23:29:35 | What else is there in Python? | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Statistical analysis made easy in Python with pandas and scipy | Python>ML>misc-topics

• 2012-09-16 23:29:35 | C++ objects in cppyy, part 1: Data Members | Python>Lang>interop

• 2012-09-16 23:29:35 | StatsModels: Statistics in Python | Python>ML>misc-topics

• 2012-09-16 23:29:35 | What the heck does "pythonic" mean? | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Building Maya Interfaces with Python | Python>Lang>gui-dev

• 2012-09-16 23:29:35 | SciPy Cookbook | Python>ML>tools-pkgs-exercises

• 2012-09-16 23:29:35 | What’s New In Python 3.3 | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Using IPython Notebook for manual computations | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Python built-in functions are awesome. Use them! | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Python Debugging Techniques | Python>Lang>debug-log-except

• 2012-09-16 23:29:35 | Build Windows Applications with Python | Python>Lang>applications

• 2012-09-16 23:29:35 | Easy tracing of nested function calls in Python | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Explore Linux as a scientific computing platform | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Getting Started With Django | Python>Web>django

• 2012-09-16 23:29:35 | Expensive lessons in Python performance tuning | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Code Like a Pythonista: Idiomatic Python | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Python from Scratch – Functions and Modules | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Python from Scratch | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Building Dynamic Web Forms in Web2Py | Python>Web>frameworks-webservers

• 2012-09-16 23:29:35 | Argparse Tutorial | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | K-means color quantization | Python>ML>clustering

• 2012-09-16 23:29:35 | A guide to analyzing Python performance | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | A few things to remember while coding in Python. | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Understanding Python Decorators in 12 Easy Steps! | Python>Lang>func-prog

• 2012-09-16 23:29:35 | Understanding '', 'args', '' and 'kwargs' | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Python’s Innards | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Multicore Programming in PyPy and CPython | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Under the hood of Python class definitions | Python>Lang>oo-meta

• 2012-09-16 23:29:35 | Experimenting with an analytics web-service using python and cassandra | Python>Lang>database

• 2012-09-16 23:29:35 | Python Tricks That You Can't Live Without | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | scikit-learn: machine learning in Python | Python>ML>many-methods

• 2012-09-16 23:29:35 | Large-scale Array-oriented Computing with Python | Python>Lang>bigdata-processing

• 2012-09-16 23:29:35 | PythonForMATLABUsers - CVPR 2012 Turorial | Python>Lang>tutorials-resources

• 2012-09-16 23:29:35 | Python cheat sheet | Python>Lang>tutorials-resources

• 2012-08-30 13:09:23 | Using bottle.py in production | Python>Web>frameworks-webservers

• 2012-08-23 15:39:33 | breezypythongui: Easy GUI in Python | Python>Lang>gui-dev

• 2012-08-23 15:36:36 | Amazon EC2 Deployment with Boto | Python>Lang>bigdata-processing

• 2012-08-17 16:08:41 | Multi-Armed Bandit: A Primer | Python>ML>misc-topics

• 2012-08-16 11:19:13 | Vim as your IDE | Python>Lang>tutorials-resources

• 2012-08-14 10:07:56 | Python "compile-time" type checking | Python>Lang>tutorials-resources

• 2012-08-14 10:05:30 | Attaching custom exceptions to functions and classes | Python>Lang>debug-log-except

• 2012-08-14 10:04:03 | An Intro to logging | Python>Lang>debug-log-except

• 2012-08-02 11:34:29 | Theano v0.5 | Python>Lang>bigdata-processing

• 2012-07-12 12:36:56 | 16 Common Python Runtime Errors Beginners Find | Python>Lang>tutorials-resources

• 2012-06-25 10:29:29 | Numpy: Array manipulation routines | Python>ML>tools-pkgs-exercises

• 2012-06-14 11:12:12 | PyLint: Analyzing Python Code | Python>Lang>tutorials-resources

• 2012-06-12 16:00:12 | Planet Python | Python>Lang>tutorials-resources