Machine and Deep Learning with Python

Education

Tutorials and courses

•  - Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.

Pyplot

Material Databases

•  - Natural language Understanding Toolkit
•  and  - Multi-algorithm ensemble learning packages.
•  - Bolt Online Learning Toolbox
•  - The Shogun Machine Learning Toolbox

Algorithms

•  - Boruta: A wrapper algorithm for all-relevant feature selection

Cheatsheets

Theory and Use Cases

Astronomy

•  - Machine Learning and Data Mining for Astronomy.

Law

Fraud Detection

Chat

Business and money

Bullying

Gaming

Recommendations

Text Analysis

Natural Language Processing

•  - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
•  - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.

Sport

Image Recognition

Kaggle Competition

•  - Industrial strength NLP with Python and Cython.
•  - Python interface for converting Penn Treebank trees to Stanford Dependencies.
•  - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle
•  - Kaggle Submission for "Detecting Insults in Social Commentary"
•  - Code for the Kaggle acquire valued shoppers challenge
•  - Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
•  - Deep learning made easy
•  - Code for Accelerometer Biometric Competition at Kaggle
•  - Predicting job salaries from ads - a Kaggle competition
•  - Amazon access control challenge
•  - Code for the Best Buy competition at Kaggle
•  - Code for Kaggle Dovs vs. Cats competition
•  - Winning solution for the Galaxy Challenge on Kaggle
•  - A Kaggle competition: discriminate gender based on handwriting
•  - Merck challenge at Kaggle
•  - Predicting closed questions on Stack Overflow
•  - Code for the Kaggle acquire valued shoppers challenge
•  - Predicting wine quality

General-Purpose Machine Learning

•  - Topic Modelling for Humans.
•  -Restricted Boltzmann Machines in Python.
•  - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
•  - Machine learning for NeuroImaging in Python
•  - A wrapper around scikit-learn that makes it simpler to conduct experiments.
•  - 
•  - Python Environment for Bayesian Learning
•  - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
•  - Deep Learning In Python

Data Analysis / Data Visualization

•  Pandas on PySpark (POPS)
•  - ahaz: Regularization for semiparametric additive hazards regression
•  - arules: Mining Association Rules and Frequent Itemsets
•  - bigrf: Big Random Forests: Classification and Regression Forests for Large Data Sets
•  - bst: Gradient Boosting
•  - C50: C5.0 Decision Trees and Rule-Based Models
•  - CORElearn: Classification, regression, feature evaluation and ordinal evaluation
•  - CoxBoost: Cox models by likelihood based boosting for a single survival endpoint or competing risks
•  - Cubist: Rule- and Instance-Based Regression Modeling
•  - e1071: Misc Functions of the Department of Statistics (e1071), TU Wien
•  - earth: Multivariate Adaptive Regression Spline Models
•  - elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA
•  - ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
•  - evtree: Evolutionary Learning of Globally Optimal Trees
•  - fpc: Flexible procedures for clustering
•  - frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks
•  - GAMBoost: Generalized linear and additive models by likelihood based boosting
•  - gamboostLSS: Boosting Methods for GAMLSS
•  - gbm: Generalized Boosted Regression Models
•  - glmnet: Lasso and elastic-net regularized generalized linear models
•  - glmpath: L1 Regularization Path for Generalized Linear Models and Cox Proportional Hazards Model
•  - GMMBoost: Likelihood-based Boosting for Generalized mixed models
•  - grplasso: Fitting user specified models with Group Lasso penalty
•  - grpreg: Regularization paths for regression models with grouped covariates
•  - hda: Heteroscedastic Discriminant Analysis
•  - ipred: Improved Predictors
•  - kernlab: Kernel-based Machine Learning Lab
•  - klaR: Classification and visualization
•  - lars: Least Angle Regression, Lasso and Forward Stagewise
•  - lasso2: L1 constrained estimation aka ‘lasso’
•  - LogicReg: Logic Regression
•  - maptree: Mapping, pruning, and graphing tree models
•  - mboost: Model-Based Boosting
•  - medley: Blending regression models, using a greedy stepwise approach
•  - mvpart: Multivariate partitioning
•  - ncvreg: Regularization paths for SCAD- and MCP-penalized regression models
•  - nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models
•  - oblique.tree: Oblique Trees for Classification Data
•  - pamr: Pam: prediction analysis for microarrays
•  - party: A Laboratory for Recursive Partytioning
•  - partykit: A Toolkit for Recursive Partytioning
•  - penalized: L1 (lasso and fused lasso) and L2 (ridge) penalized estimation in GLMs and in the Cox model
•  - penalizedLDA: Penalized classification using Fisher's linear discriminant
•  - penalizedSVM: Feature Selection SVM using penalty functions
•  - quantregForest: Quantile Regression Forests
•  - randomForest: Breiman and Cutler's random forests for classification and regression
•  - randomForestSRC: Random Forests for Survival, Regression and Classification (RF-SRC)
•  - rattle: Graphical user interface for data mining in R
•  - rda: Shrunken Centroids Regularized Discriminant Analysis
•  - rdetools: Relevant Dimension Estimation (RDE) in Feature Spaces
•  - REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data
•  - relaxo: Relaxed Lasso
•  - rgenoud: R version of GENetic Optimization Using Derivatives
•  - Rmalschains: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R
•  - rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression
•  - ROCR: Visualizing the performance of scoring classifiers
•  - RoughSets: Data Analysis Using Rough Set and Fuzzy Rough Set Theories
•  - rpart: Recursive Partitioning and Regression Trees
•  - RPMM: Recursively Partitioned Mixture Model
•  - RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
•  - RWeka: R/Weka interface
•  - RXshrink: Maximum Likelihood Shrinkage via Generalized Ridge or Least Angle Regression
•  - sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection
•  - SDDA: Stepwise Diagonal Discriminant Analysis
•  - svmpath: svmpath: the SVM Path algorithm
•  - tgp: Bayesian treed Gaussian process models
•  - tree: Classification and regression trees
•  - varSelRF: Variable selection using random forests

Video Streaming

Time

Audio

Python & Machine Learning

•  ###Generic and unclassified

Misc Scripts / iPython Notebooks / Codebases

•  - Biologically-Inspired and Machine Learning Algorithms in Python.
•  - Topic Modeling the Sarah Palin emails.
•  - A collection of image segmentation algorithms based on diffusion methods
•  - SciPy tutorials. This is outdated, check out scipy-lecture-notes
•  - A recommendation engine library for Python
•  - Bayesian Inference Tools in Python
•  - Series of notebooks for learning scikit-learn
•  - Tweets Sentiment Analyzer
•  - Sentiment classifier using word sense disambiguation.
•  - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model
•  - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python.
•  - IPython notebooks for EEG/MEG data processing using mne-python
•  - Recipes for using Python's pandas library
•  - Book/iPython notebooks on Probabilistic Programming in Python

Tools

Deep Learning Frameworks

•  - Evolutionary algorithm framework.
•  - Genetic algorithm framework.
•  - A deep learning framework developed with cleanliness, readability, and speed in mind.
•  - A suite of ML tools designed to be easy to imbed in other applications
•  - A fast out-of-core learning system.
•  - Suite of fast incremental algorithms.
•  - The Shogun Machine Learning Toolbox
•  - A deep learning framework developed with cleanliness, readability, and speed in mind. [DEEP LEARNING]
•  - Yet another deep learning framework with less than 1000 lines core code [DEEP LEARNING]
•  - A parallelized optimized general purpose gradient boosting library.
•  - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling
•  - A simple Multi-armed Bandit library.

Libraries

•  A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

•  - A Python module for machine learning built on top of SciPy.
•  Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.
•  - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
•  - A library that contacts external servers.
•  - Web mining module for Python.
•  - Numenta Platform for Intelligent Computing.

Environment Management

•  - Dead Simple Interactive Python Version Management.
•  - Simple Python version management.
•  - A tool to create isolated Python environments.
•  - A set of extensions to virtualenv.
•  - An API for virtualenv and pip.
•  - A set of tools to manage multiple virtual environments.
•  - Run a command in the named virtualenv.
•  - A one-file, no-installation-needed version of Python.

Package Management

•  - The Python package and dependency manager. - Cross-platform, Python-agnostic binary package manager.
•  - Curdling is a command line tool for managing Python packages.
•  - The new standard of Python distribution and are intended to replace eggs.

Package Repositories

•  - Next generation Python Package Repository (PyPI). - PyPI server and packaging/testing/release tool.
•  - PyPI server which mirrors official packages on-demand, and also supports local (private) package uploads.
•  - PyPI mirroring tool provided by Python Packaging Authority (PyPA)

Distribution

•  - Freezes Python scripts (cross-platform).
•  - Freezes Python scripts (Windows).
•  - A tool to build Windows installers, installers bundle Python itself.
•  - Freezes Python scripts (Mac OS X).
•  - Converts Python programs into stand-alone executables (cross-platform).
•  - Build and distribute a virtualenv as a Debian package.
•  - Compile scripts, modules, packages to an executable or extension module.

Build Tools

•  - A build system for creating, assembling and deploying applications from multiple parts, some of which may be non-Python-based.
•  - A software construction tool.
•  - A console tool to build code with different development platforms.
•  - A make-like build tool with the special focus of distributions and packages for embedded Linux.
•  - A build tool that finds dependencies automatically for any language.

Interactive Interpreter

•  - A rich toolkit to help you make the most out of using Python interactively.
•  – A fancy interface to the Python interpreter.
•  - Advanced Python REPL built on top of the .

Files

•  - (Python standard library) Map filenames to MIME types.
•  - (Python standard library) Determine the type of an image.
•  - A Python interface to the libmagic file type identification library.
•  - A module wrapper for .
•  - API and shell utilities to monitor file system events.
•  - An object-oriented approach to file/directory operations.
•  - (Python standard library in Python 3.4+) An cross-platform, object-oriented path library.

Date and Time

•  - Better dates & times for Python.
•  - A Python 3 library for parsing human-written times and dates.
•  - Extensions to the standard Python  module.
•  - A library for clearing up the inconvenient truths that arise dealing with datetimes.
•  - Providing user-friendly functions to help perform common date and time actions.
•  - A Python library for dealing with dates/times. Inspired by .
•  - World timezone definitions, modern and historical. Brings the  into Python.
•  - A easy-use Python module which aims to operate date/time/datetime by string.

Text Processing

•  - Python bindings for eXtreme Gradient Boosting (Tree) Library
  •  - (Python standard library) Helpers for computing deltas.
  •  - Fast computation of Levenshtein distance and string similarity.
  •  - Fuzzy String Matching.
  •  - Regular expression accelerator.
  •  - A generator library for concise, unambiguous and URL-safe UUIDs.
  •  - Makes Unicode text less broken and more consistent automagically.
  •  - ASCII transliterations of Unicode text.
  •  - Python 2/3 compatible character encoding detector.
  •  - A library to translate Chinese hanzi (漢字) to pinyin (拼音).
  •  - Spacing texts for CJK and alphanumerics.
  •  - An implementation of figlet written in Python.
  •  - Print readable chars instead of the escaped string.
• Slugify
  •  - A Python slugify library that can preserve unicode.
  •  - A Python slugify library that translates unicode to ASCII.
  •  - Implementation of lex and yacc parsing tools for Python
  •  - Parsing, formatting, storing and validating international phone numbers.
  •  - Browser user agent parser.
  •  - A non-validating SQL parser.
  •  - A generic syntax highlighter.
  •  - Parsing human names into their individual components.
  •  - A general purpose framework for generating parsers.

Specific Formats Processing

Libraries for parsing and manipulating specific text formats.

• General
  •  - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
• Office
  •  - Reads, queries and modifies Microsoft Word 2007/2008 docx files.
  •  /  - Writing and reading data and formatting information from Excel files.
  •  - A Python module for creating Excel .xlsx files.
  •  - A BSD-licensed library that makes it easy to call Python from Excel and vice versa.
  •  - A library for reading and writing Excel 2010 xlsx/xlsm/xltx/xltm files.
  •  - Takes Python data structures and turns them into spreadsheets.
  •  - Convert between any document format supported by LibreOffice/OpenOffice.
• PDF
  •  - A tool for extracting information from PDF documents.
  •  - A library capable of splitting, merging and transforming PDF pages.
  •  - Allowing Rapid creation of rich PDF documents.
• Markdown
  •  - A Python implementation of John Gruber’s Markdown.
  •  - Fastest and full featured pure Python parsers of Markdown.
• YAML
  •  - YAML implementations for Python.
• CSV
  •  - Utilities for converting to and working with CSV.
• Archive
  •  - A command line tool that can unpack archives easily.

Natural Language Processing

•  - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks.
•  - Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
•  - A leading platform for building Python programs to work with human language data.
•  - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
•  - A python framework to transform natural language questions to queries in a database query language
•  - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora.
•  - Chinese Words Segmentation Utilities.
•  - A library for processing Chinese text.
•  - Another Chinese segmentation library.
•  - A Chinese segment base on Conditional Random Field.
•  - Text processing tools and wrappers (e.g. Vowpal Wabbit)
•  - Python bindings for the BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
•  - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for , but also ARPA language models, Moses phrasetables, GIZA++ alignments.
•  - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages)
•  - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
•  - Python binding to C++ library for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
•  - A leading platform for building Python programs to work with human language data.
•  - A web mining module for the Python. It has tools for natural language processing, machine learning, among others.
•  - Providing a consistent API for diving into common NLP tasks. Stands on the giant shoulders of NLTK and Pattern.
•  - Chinese Words Segmentation Utilities.
•  - A library for processing Chinese text.
•  - Another Chinese segmentation library.
•  - A Chinese segment base on Conditional Random Field.
•  - Stand-alone language identification system.

Documentation

•  - Python Documentation generator. - Markup Syntax and Parser Component of Docutils.
•  - Markdown friendly documentation generator.
•  - The original quick-and-dirty, hundred-line-long, literate-programming-style documentation generator.
•  - Epydoc replacement to auto generate API documentation for Python libraries.

Configuration

•  - (Python standard library) INI file parser.
•  - INI file parser with validation.
•  - Hierarchical config from the author of .
•  - Config from multiple formats with value conversion.

Command-line Tools

• Command-line Application Development
  •  - Cement provides a light-weight and fully featured foundation to build anything from single file scripts to complex and intricately designed applications.
  •  - A package for creating beautiful command line interfaces in a composable way.
  •  - Python Command-line Application Tools.
  •  - A framework for creating command-line programs with multi-level commands.
  •  – Clime lets you convert any module into a multi-command CLI program without any configuration.
  •  - Pythonic command line arguments parser.
  •  - Cross-platform colored terminal text.
  •  - Command-line applications supporting standard command line parsing, logging, unit and functional testing.
  •  - Turn command line programs into a full GUI application with one line
  •  - A Library for building powerful interactive command lines.
• Productivity Tools
  •  - A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.
  •  - A command line HTTP client, a user-friendly cURL replacement.
  •  - Adds flavor of interactive selection to the traditional pipe concept on UNIX.
  •  - Smart and nice Twitter client on terminal.
  •  - Determine what projects are blocking you from porting to Python 3.
  •  - Correcting your previous console command.
  •  - A tool for live presentations in the terminal.
  •  - Select files out of bash output.
  •  - Making basic plots in the terminal. It's a quick way to visualize data without GUI.

Downloader

•  - A command line tool for managing Amazon S3 and CloudFront.
•  - Super S3 command line tool, good for higher performance.
•  - A small command-line program to download videos from YouTube.
•  - A YouTube/Youku/Niconico video downloader written in Python 3.
•  - Script for downloading Coursera.org videos and naming them.
•  - Tools for downloading and preserving wikis.
•  - Library and command line tool to search and download subtitles.

Imagery

•  - Pillow is the friendly  fork.
•  - Python bindings for , C API for ImageMagick.
•  - A smart imaging service. It enables on-demand crop, re-sizing and flipping of images.
•  - A project for searching a collection of images using visual similarity.
•  - A pure Python QR Code generator.
•  - Create barcodes in Python without needing PIL.
•  - Instagram-like image filters.
•  - Computer art based on quadtrees.
•  - Nudity detection.
•  - A Python library for (scientific) image processing.
•  - Image histogram remapping.

OCR

•  - A wrapper class for .
•  - Another wrapper for Google Tesseract OCR.
•  - A wrapper for Tesseract and Cuneiform.

Audio

•  - Expressive Digital Signal Processing (DSP) package for Python.
•  - Cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.
•  - A music library manager and  tagger.
•  - Audio fingerprinting and recognition.
•  - A tool for working with audio files, specifically MP3 files containing ID3 metadata.
•  - A Python module for reading MP3 meta data.
•  - A Python module to handle audio metadata.
•  - Manipulate audio with a simple and easy high level interface.
•  - Python client for the  API.
•  - A Python library for speech/signal processing.
•  - Open web audio processing framework.
•  - A library for reading music meta data of MP3, OGG, FLAC and Wave files.
•  - A module for parsing m3u8 file.
•  - A data visualization package based on the grammar of graphics.

Video

•  - A module for script-based movie editing with many formats, including animated GIFs.
•  - Video summarization.
•  - Video processing routines for SciPy.

Geolocation

•  - Python Geocoding Toolbox.
•  - Pure Python GeoIP API.
•  - Python API for MaxMind GeoIP Legacy Database.
•  - Python bindings and utlities for GeoJSON.

HTTP

•  - HTTP Requests for Humans™.
•  - requests + gevent for asynchronous HTTP requests.
•  - A HTTP library with thread-safe connection pooling, file post support, sanity friendly.
•  - Comprehensive HTTP client library.
•  - Python requests like API built on top of Twisted's HTTP client.

Database

•  - A native object database for Python. A key-value and object graph database.
•  - A simple and lightweight key-value store for Python.
•  - A tiny, document-oriented database.

Database Drivers

• Relational Databases
  •  - The MySQL database connector for Python.
  •  - mysql-python fork supporting Python 3.
  •  - Pure Python MySQL driver compatible to mysql-python.
  •  - A pure Python MySQL driver from Oracle.
  •  - A better MySQL connector with support for native prepared statements and BLOBs.
  •  - The most popular PostgreSQL adapter for Python.
  •  - Twisted based asynchronous driver for PostgreSQL.
  •  - A wrapper of the psycopg2 library for interacting with PostgreSQL.
  •  - Store Python dicts in a database - works with SQLite, MySQL, and PostgreSQL.
  •  - Another Python SQLite wrapper.
• NoSQL Databases
  •  - Python driver for Cassandra.
  •  - Python Thrift driver for Cassandra.
  •  - A developer-friendly library for Apache HBase.
  •  - The official Python client for MongoDB.
  •  - A fast and feature-rich Python interface to LevelDB.
  •  - The Redis Python Client.
  •  - Python wrapper client for Neo4j's restful interface.
  •  - Twisted based client for Cassandra.
  •  - Twisted based client for Redis.

ORM

• Relational Databases
  •  - The Python SQL Toolkit and Object Relational Mapper.
  •  - A small, expressive ORM.
  •  - ORM that provides a generator-oriented interface to SQL.
• NoSQL Databases
  •  - A Python Object-Document-Mapper for working with MongoDB.
  •  - Django MongoDB Backend.
  •  - A Python Library for Simple Models and Containers Persisted in Redis.
  •  - Object mapper for Amazon DynamoDB.
• Others
  •  - A Python ORM for Google Drive Spreadsheets.

Computer Vision

•  - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
•  - Python bindings for the VIGRA C++ computer vision library.

Web Frameworks

•  - The most popular web framework in Python.
•  - A microframework for Python. - A fast, simple and lightweight WSGI micro web-framework.
•  - A small, fast, down-to-earth, open source Python web framework. - A full stack web framework and platform focused in the ease of use.
•  - A web framework for Python that is as simple as it is powerful.
•  - The Web Framework that starts as a microframework and scales up to a full stack solution.
•  - A Minimalist Python Web Framework, HTTP/1.1-compliant and WSGI thread-pooled.
•  - A framework built on the existing Zope 3 libraries.
•  - An open-source web application server, framework and library, formerly known as Zope 3.
•  - A lightweight and high performance web framework for Python written in C.

Permissions

•  - Implementation of per object permissions for Django 1.2+
•  - A tiny but powerful app providing object-level permissions to Django, without requiring a database.
•  - Module to align code with thoughts of users and designers. Also magically handles navigation and permissions.

CMS

•  - An Open source enterprise CMS based on the Django.
•  - A lightweight but yet powerful Django CMS with plugins, inline editing and performance in mind.
•  - One of the most advanced Content Management Systems built on Django.
•  - A high-level, Pythonic web application framework built on Pyramid.
•  - A powerful, consistent, and flexible content management platform.
•  - A Django-based CMS for magazines, newspapers websites and portals with high-traffic.
•  - A CMS built on top of the open source application server Zope.
•  - Flexible, extensible, small CMS powered by Flask and MongoDB.
•  - A Django content management system.
•  - Last CMS framework, based on Django.

E-commerce

•  - An open-source e-commerce framework for Django.
•  - A Django based shop system.
•  - A Django app to accept payments from various payment processors.
•  - Money class with optional CLDR-backed locale-aware formatting and an extensible currency exchange solution.
•  - Display money format and its filthy currencies.
•  - Unofficial Alipay API for Python.

RESTful API

•  - A REST framework for Pyramid.
•  - A powerful and flexible toolkit that makes it easy to build Web APIs.
•  - Creating delicious APIs for Django apps.
•  - Create JSON APIs with HMAC authentication and Django form-validation.
•  - An implementation of the same web browsable APIs that django-rest-framework provides.
•  - An extension for Flask that adds support for quickly building REST APIs.
•  - A Flask extension for generating ReSTful APIs for database models defined with SQLAlchemy (or Flask-SQLAlchemy).
•  - Flask extension that takes care of API representation and authentication.
•  - A high-performance Python framework for building cloud APIs and web app backends.
•  - REST API framework powered by Flask, MongoDB and good intentions.
•  - Automated REST APIs for existing database-driven systems.
•  - Framework agnostic REST framework based on lessons learned from TastyPie.
•  - REST API building library (django, and others)
•  - A tool for quickly creating REST/HATEOAS/Hypermedia APIs with extensions for Flask and Django.

Authentication

• OAuth
  •  - Simple but powerful framework agnostic authentication/authorization client package.
  •  - A generic, spec-compliant, thorough implementation of the OAuth request-signing logic.
  •  - A Python library for OAuth 1.0/a, 2.0, and Ofly.
  •  - A fully tested, abstract interface to creating OAuth clients and servers.
  •  - An easy-to-setup social authentication mechanism.
  •  - OAuth2 goodies for the Djangonauts.
  •  - Providing OAuth2 access to Django app.
  •  - Authentication app for Django that "just works."
  •  - OAuth 1.0/a, 2.0 implementation of client and provider for Flask.
  •  - A dead simple OAuth2 client implementation.
• Others
  •  - Implementation of the JSON Web Token draft 01.
  •  - Module for generating and verifying JSON Web Tokens.
  •  - Implementation of JSON Web Signatures draft 02.

Template Engine

•  - A modern and designer friendly templating language.
•  - Python templating toolkit for generation of web-aware output.
•  - Hyperfast and lightweight templating for the Python platform.
•  - An HTML/XML template engine. Modeled after ZPT, optimized for speed.
•  - A very fast Python template compiler.

Queue

•  - An asynchronous task queue/job queue based on distributed message passing.
•  - Little multi-threaded task queue.
•  - Mr. Queue - A distributed worker task queue in Python using Redis & gevent.
•  - Simple job queues for Python.
•  - A simple, infinitely scalable, Amazon SQS based queue.

Search

•  - Modular search for Django.
•  - The official low-level Python client for .
•  - The official high-level Python client for Elasticsearch.
•  - A Python client for .
•  - A fast, pure Python search engine library.

News Feed

•  - A library to build newsfeed and notification systems using Cassandra and Redis.
•  - Generate generic activity streams from the actions on your site.

Asset Management

•  - A Jinja extension to compile and compress your assets.
•  - Bundles, optimizes, and manages unique cache-busting URLs for static resources.
•  - Packages, optimizes, and serves static file dependencies as Python packages.
•  - Monitors changes, processes, and transports assets to CDNs and file storage systems.
•  - A collection of custom storage back ends for Django.
•  - Glue is a simple command line tool to generate CSS sprites.
•  - A Python binding of , the reference implementation of SASS/SCSS.
•  - Helps you integrate webassets into your Flask app.

Caching

•  - A library for caching and sessions for use with web applications and stand-alone Python scripts and applications.
•  - dogpile.cache is next generation replacement for Beaker made by same authors.
•  - Python caching library with tag-based invalidation and dogpile effect prevention.
•  - Automatic caching and invalidation for Django models through the ORM.
•  - A slick ORM cache with automatic granular event-driven invalidation.
•  - A caching framework for django applications.
•  - Render template parts with extended cache control.
•  - A Python wrapper around the  interface.

Email

•  - Python SMTP Server for Humans.
•  - Python IMAP for Humans.
•  - The open source email toolkit.
•  - Pythonic SMTP Application Server.
•  - A email address and Mime parsing library.
•  - High-performance extensible mail delivery framework.
•  - Django email back end with AWS SES and Celery.
•  - A mail hosting and management platform including a modern and simplified Web UI.
•  - Mailing for human beings.
•  - Mailjet API implementation for batch mailing, statistics and more.
•  - Mailgun library to extract message quotations and signatures.
•  - Compose, send and parse emails.

Internationalization

•  - An internationalization library for Python.
•  - A library for  morphology.

URL Manipulation

•  - A small Python library that makes manipulating URLs simple.
•  - A simple, immutable URL class with a clean API for interrogation and manipulation.
•  - A pure Python URL shortening lib.
•  - Python implementation for generating Tiny URL and bit.ly-like URLs.
•  - A friendly library for parsing HTTP request arguments, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, and Pyramid.

HTML Manipulation

•  - Providing Pythonic idioms for iterating, searching, and modifying HTML or XML.
•  - A very fast, easy-to-use and versatile library for handling HTML and XML.
•  - A standards-compliant library for parsing and serializing HTML documents and fragments.
•  - A jQuery-like library for parsing HTML.
•  - A CSS library for Python.
•  - Implements a XML/HTML/XHTML Markup safe string for Python.
•  - A whitelist-based HTML sanitization and text linkification library.
•  - Working with XML feel like you are working with JSON.
•  - HTML/CSS to PDF converter.
•  - Converts XML documents to Python objects for easy access.

Web Crawling

•  - A fast high-level screen scraping and web crawling framework.
•  - Visual scraping for Scrapy.
•  - Universal feed parser.
•  - A simple, Pythonic library for browsing the web without a standalone web browser.
•  - A Python library for automating interaction with websites.
•  - Stateful programmatic web browsing.
•  - PyQuery-based scraping micro-framework.
•  - A distributed crawling framework.
•  - A powerful spider system.
•  - Site scraping framework.

Web Content Extracting

•  - News extraction, article extraction and content curation in Python.
•  - Convert HTML to Markdown-formatted text.
•  - HTML Content/Article Extractor.
•  - Web Content Retrieval for Humans.
•  - A small library for extracting rich content from URLs.
•  - A module for automatic summarization of text documents and HTML pages.
•  - An Extensible Image Crawler.
•  - Fast Python port of arc90's readability tool.
•  - A Python module to parse the Open Graph Protocol
•  - Extract text from any document, Word, PowerPoint, PDFs, etc.
•  - Bringing sanity to world of messed-up data.

Forms

•  - A flexible forms validation and rendering library.
•  - A WTForms extension for JSON data handling.
•  - Python HTML form generation library influenced by the formish form generation library.
•  - Bootstrap 3 integration with Django.
•  - A Django app which lets you create beautiful forms in a very elegant and DRY way.
•  - A platform independent Django form serializer.

Data Validation

•  - A mappings-validator with a variety of rules, normalization-features and simple customization that uses a pythonic schema-definition.
•  - A Python data validation library. It is primarily intended for validating data coming into Python as JSON, YAML, etc.
•  - A system for validating and deserializing data obtained via XML, JSON, an HTML form post or any other equally simple data serialization.
•  - A library for validating Python data structures.
•  - Data Structure Validation.
•  - A language for matching/validating/filtering Python dictionaries.
•  - Lightweight extensible data validation and adaptation library.

Anti-spam

•  - Simple spam blocker for Django.
•  - A simple and highly customizable Django app to add captcha images to any Django form.

Tagging

•  - Simple tagging for Django.

Admin Panels

•  - The admin panel your servers deserve.
•  – A jazzy skin for the Django Admin-Interface.
•  - Alternative Django Admin-Interface (free only for Non-commercial use).
•  - Drop-in replacement of Django admin comes with lots of goodies.
•  - Simple and extensible administrative interface framework for Flask.
•  - Real-time monitor and web admin for Celery.

Static Site Generator

•  - Uses Markdown or ReST for content and Jinja 2 for themes. Supports DVCS, Disqus. AGPL.
•  – Static site generator for designers.
•  - Jinja2-based static web site generator.
•  - A static website and blog generator.
•  - Tinkerer is a blogging engine/.static website generator powered by Sphinx.

Processes and Threads

•  - (Python standard library) Process-based "threading" interface.
•  - (Python standard library) Higher-level threading interface.
•  - Python Subprocesses for Humans™.
•  - A full-fledged  replacement for Python.
•  - A wrapper for subprocess.

Competition and Networking

•  - (Python standard library in Python 3.4+) Asynchronous I/O, event loop, coroutines and tasks.
•  - A coroutine-based Python networking library that uses .
•  - An event-driven networking engine.
•  - A Web framework and asynchronous networking library.
•  - Event-driven concurrent framework for Python.
•  - Greenlet-based event I/O Framework for Python.
•  - Asynchronous framework with WSGI support.
•  - A Python wrapper for the 0MQ message library.
•  - Twisted based wrapper for the 0MQ message library.
•  - Open-source Unified Application Router (Websocket & WAMP for Python on Autobahn).

WebSocket

•  - WebSocket & WAMP for Python on Twisted and .
•  - WebSocket client and server library for Python 2 and 3 as well as PyPy.

WSGI Servers

•  - A project aims at developing a full stack for building hosting services, written in C.
•  - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.
•  - Multi-threaded, stable, tried and tested.
•  - Multi-threaded.
•  - Multi-threaded, poweres Pyramid.
•  - Asynchronous, very fast.
•  - Pre-forked, partly written in C.
•  - Asynchronous (network side only), written in C.
•  - Asynchronous, partly written in C.
•  - Asynchronous, very fast and written in C.

RPC Servers

•  - (Python standard library) Simple XML-RPC server implementation, single-threaded.
•  - This library is an implementation of the JSON-RPC specification.
•  - zerorpc is a flexible RPC implementation based on  and .

Cryptography

•  - The Python Cryptography Toolkit.
•  - A Python (2.6+, 3.3+) implementation of the SSHv2 protocol, providing both client and server functionality.
•  - A package designed to expose cryptographic primitives and recipes to Python developers.
•  - Python binding to the Networking and Cryptography (NaCl) library.
•  - Implementation of  in Python.
•  - Secure password storage/hashing library, very high level.

GUI

•  - Python bindings for the  cross-platform application and UI framework, with support for both Qt v4 and Qt v5 frameworks.
•  - Python bindings for the  cross-platform application and UI framework, supporting the Qt v4 framework.
•  - A blending of the wxWidgets C++ class library with the Python.
•  - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
•  - Built-in wrapper for  used to create terminal GUI applications.
•  - A library for creating terminal GUI applications with strong support for widgets, events, rich colors, etc.
•  - A cross-platform windowing and multimedia library for Python.
•  - Tkinter is Python's de-facto standard GUI package.
•  - Creating beautiful user-interfaces with Declaratic Syntax like QML.
•  - A Python native, OS native GUI toolkit.

Game Development

•  - Pygame is a set of Python modules designed for writing games.
•  - cocos2d is a framework for building 2D games, demos, and other graphical/interactive applications. It is based on pyglet.
•  - A ctypes based wrapper for the SDL2 library.
•  - 3D game engine developed by Disney and maintained by Carnegie Mellon's Entertainment Technology Center. Written in C++, completely wrapped in Python.
•  - Python bindings for the Ogre 3D render engine, can be used for games, simulations, anything 3D.
•  - Python ctypes bindings for OpenGL and it's related APIs.
•  - Python bindings for 
•  - A Visual Novel engine.

Logging

•  - (Python standard library) Logging facility for Python.
•  - Logging replacement for Python.
•  - A realtime logging and aggregation server.
•  - The Python client for Sentry.
•  - Logging for complex & distributed systems.

Testing

• Testing Frameworks
  •  - (Python standard library) Unit testing framework.
  •  - nose extends unittest.
  •  - A mature full-featured Python testing tool.
  •  - The definitive testing tool for Python. Born under the banner of BDD.
  •  - A BDD framework for Python 3.3+. Inspired by C#'s Machine.Specifications.
  •  - Should style asserts based on .
  •  - BDD style testing for Python. Inspired by .
  •  - Hypothesis is an advanced Quickcheck style property based testing library.
• Web Testing
  •  - Python bindings for  WebDriver.
  •  - Open source tool for testing web applications.
  •  - Scalable user load testing tool written in Python.
  •  - A language-agnostic A/B Testing framework.
• Mock
  •  - A Python Mocking and Patching Library for Testing.
  •  - A utility library for mocking out the requests Python library.
  •  - Powerful test doubles framework for Python.
  •  - Travel through time by mocking the datetime module.
  •  - HTTP request mock tool for Python.
  •  - A mocking library for requests for Python 2.6+ and 3.2+.
• Code Coverage
  •  - Code coverage measurement.
• Fake Data
  •  - A Python package that generates fake data.
  •  - Fake database generator.
  •  - A test fixtures replacement for Python.
  •  - Another fixtures replacement. Supported Django, Flask, SQLAlchemy, Peewee and etc.
  •  - Creating random fixtures for testing in Django.
  •  - Generate random datetime / time.
• Error Handler
  •  - FuckIt.py uses state-of-the-art technology to make sure your Python code runs whether it has any right to or not.

Code Analysis and Linter

• Code Analysis
  •  - A type inferencer and indexer for Python.
  •  - A library that visualises the flow (call graph) of your Python application.
  •  - Turn your Python and JavaScript code into DOT flowcharts.
• Linter
  •  - The modular source code checker: pep8, pyflakes and co.
  •  - Code audit tool for Python and JavaScript.
  •  - A source code analyzer.

Debugging Tools

•  - (Python standard library) The Python Debugger.
•  - IPython-enabled pdb.
•  - An improbable web debugger through WebSockets.
•  - A Platform Independent Python Debugger with GUI, capable of remote debugging based on rpdb2.
•  – A full-screen, console-based Python debugger.
•  - Debugger capable of attaching to and injecting code into Python processes.
•  - Python Client for the  server.
•  - Monitor Memory usage of Python code.
•  - An interactive Python profiler.
•  - Display various debug information about the current request/response.
•  - A pure-Python library for parsing and analyzing ELF files and DWARF debugging information.

Science and Data Analysis

•  - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
•  - A fundamental package for scientific computing with Python.
•  - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
•  - A high-productivity software for complex networks.
•  - A library providing high-performance, easy-to-use data structures and data analysis tools.
•  - Business Intelligence (BI) in Python (Pandas web interface)
•  - Markov Chain Monte Carlo sampling toolkit.
•  - A Pythonic algorithmic trading library.
•  - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
•  - A Python library for symbolic mathematics.
•  - Statistical modeling and econometrics in Python.
•  - A community Python library for Astronomy.
•  - Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.
•  - Cheminformatics and Machine Learning Software.
•  - A chemical toolbox designed to speak the many languages of chemical data.
•  - A library for parsing and interpreting the results of computational chemistry packages.
•  - Biopython is a set of freely available tools for biological computation.
•  - Collection of useful code related to biological analysis.
•  - A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.
•  - NumPy and Pandas interface to Big Data.

Data Visualization

•  - A Python 2D plotting library.
•  - Interactive Web Plotting for Python.
•  - Collaborative web plotting for Python and matplotlib.
•  - A Python to Vega translator.
•  - A plotting library for Python, based on .
•  - Same API as ggplot2 for R.
•  - Rendering beautiful SVG maps in Python.
•  - A Python SVG Charts Creator.
•  - Python interface to .
•  - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
•  - High-performance scientific visualization based on OpenGL.

Computer Vision

•  - Open Source Computer Vision Library.
•  - An open source framework for building computer vision applications.

Machine Learning

•  - A Python module for machine learning built on top of SciPy.
•  - Web mining module for Python.
•  - Numenta Platform for Intelligent Computing.
•  - A Machine Learning library based on .
•  - GPU-Accelerated Deep Learning Library in Python.
•  - Topic Modelling for Humans.
•  - Another Python Machine Learning Library.
•  - A flexible, fast recommender engine.
•  - A Python library for implementing a Recommender System.
•  - A lightweight Python wrapper for .

MapReduce

•  - The Spark Python API.
•  - Python clone of Spark, a MapReduce alike framework in Python.
•  - A module that helps you build complex pipelines of batch jobs.
•  - Run MapReduce jobs on Hadoop or Amazon Web Services.
•  - Python module that allows one to easily write and run Hadoop programs.
•  - Run Python code against real-time streams of data. Integrates with .

Functional Programming

•  - Functional programming in Python: implementation of missing features to enjoy FP.
•  - A fancy and practical functional tools.
•  - A collection of functional utilities for iterators, functions, and dictionaries.
•  - Cython implementation of Toolz: High performance functional utilities.

Third-party APIs

•  - One Python library for all clouds.
•  - Python interface to Amazon Web Services.
•  - A Python wrapper for the Twitter API.
•  - Google APIs Client Library for Python.
•  - Google Spreadsheets Python API.
•  - Facebook Platform Python SDK.
•  - Facepy makes it really easy to interact with Facebook's Graph API
•  - A Pythonic interface for Gmail.

DevOps Tools

•  - Open source software for building private and public clouds.
•  - A radically simple IT automation platform.
•  - Infrastructure automation and management system.
•  - A simple, Pythonic tool for remote execution and deployment.
•  - Tools for writing awesome Fabric files.
•  - Chef-like functionality for Fabric.
•  - A cross-platform process and system utilities module.
•  - Controlling interactive programs in a pseudo-terminal like GNU expect.
•  - An easy-to-use provisioning system in Python.
•  - A Python port of , a tool for managing Procfile-based applications.
•  - Multipurpose task execution tool for distributed systems with web-based interface.
•  - Fast, isolated development environments using .
•  - Pure-Python API for Mercurial.
•  - Pure-Python API for git.
•  - Supervisor process control system for UNIX.

Job Scheduler

•  - A light but powerful in-process task scheduler that lets you schedule functions.
•  - A task runner/build tool.
•  - A set of tools to provide lightweight pipelining in Python.
•  - Writing crontab file in Python like a charm.
•  - A powerful workflow engine implemented in pure Python.
•  - Python job scheduling for humans.
•  - A Python library that helps to make task execution easy, consistent and reliable.

Foreign Function Interface

•  - (Python standard library) Foreign Function Interface for Python calling C code.
•  - Foreign Function Interface for Python calling C code.
•  - Simplified Wrapper and Interface Generator.
•  - A Python wrapper for Nvidia's CUDA API.

High Performance

•  - Optimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains.
•  - An implementation of Python in Python. The interpreter uses black magic to make Python very fast without having to add in additional type information.
•  - An enhanced version of the Python.
•  - A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.

Microsoft Windows

•  - Python Extensions for Windows.
•  - Python Integration with the .NET Common Language Runtime (CLR).
•  - Unofficial Windows binaries for Python extension packages.
•  - IDE for the Python language with advanced editing, interactive testing, debugging and introspection features (also comes with Anaconda, WinPython).
•  - Scientific-applications-oriented Python Distribution based on Qt and Spyder.
•  - Portable development environment for Windows 7/8.

Network Virtualization and SDN

•  - A popular network emulator and API written in Python.
•  - An open source development platform for Python-based Software Defined Networking (SDN) control applications, such as OpenFlow SDN controllers.
•  - A member of the Frenetic family of SDN programming languages that provides powerful abstractions over network switches or emulators.
•  - SDN based IXP implementation that leverages Mininet, POX and Pyretic.

Hardware

•  - A module for cross-platform control of the mouse and keyboard.
•  - A Python library and command line tool for working with WiFi on Linux.
•  - A brilliant packet manipulation library.
•  - Command line toolkit for working with .
•  - Python Robotics.

Compatibility

•  - Python 2 and 3 compatibility utilities.
•  - The missing compatibility layer between Python 2 and Python 3.
•  - Modernizes Python code for eventual Python 3 migration.

Miscellaneous

•  - A simple but flexible plugin system for Python.
•  - Various helpers to pass trusted data to untrusted environments.
•  - A fast Python in-process signal/event dispatching system.
•  - A framework for creating and tracking achievements.

Algorithms and Design Patterns

•  - A collection of design patterns in Python.
•  - A module of algorithms for Python.

Editor Plugins

• Vim
  •  - An all in one plugin for turning Vim into a Python IDE.
  •  - Vim bindings for the  auto-completion library for Python.
  •  - Includes -based completion engine for Python
• Emacs
  •  - Emacs Python Development Environment.
• Sublime Text
  •  - A Sublime Text plugin to the awesome auto-complete library .
  •  - Anaconda turns your Sublime Text 3 in a full featured Python development IDE.
• Atom - A Machine Learning library based on .
  •  - A static code analysis tool for Atom.
  •  - An addon to linter, that acts as an interface for flake8.
  •  - Atom package for virtualenv management.
•  - Modular neural network library based on .
•  - GPU-Accelerated Deep Learning Library in Python.
•  - Another Python Machine Learning Library.
•  - A flexible, fast recommender engine.
•  - A Python library for implementing a Recommender System.
•  - Theano based library for deep and recurrent neural networks
•  - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
•  - A library to let Python program run on Hadoop.
•  - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012.
•  - Markov Chain Monte Carlo sampling toolkit.
•  - A Pythonic algorithmic trading library.
•  - A Python library for symbolic mathematics.
•  - R binding for eXtreme Gradient Boosting (Tree) Library
•  - rgp: R genetic programming framework
•  - A framework for fast, parallel, and distributed machine learning algorithms at scale -- Deeplearning, Random forests, GBM, KMeans, PCA, GLM
•  - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
•  - caretEnsemble: Framework for fitting multiple caret models as well as creating ensembles of such models.
•  - bigRR: Generalized Ridge Regression (with special advantage for p >> n cases)
•  - bmrm: Bundle Methods for Regularized Risk Minimization Package
•  - Library for calculating great circle distance.
•  - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others
•  - Code for Data Science at Olin College, Spring 2014.
•  - Code repository for Think Bayes.
•  - Code for Allen Downey's book Think Complexity.
•  - Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
•  - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
•  - A library consisting of useful tools for data science and machine learning tasks.
•  - Nervana's  Python-based Deep Learning framework
•  - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
•  - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.
•  - NumPy and Pandas interface to Big Data.
•  - The Python ensemble sampling toolkit for affine-invariant MCMC.
•  - A Python Framework for Wind Energy Analysis and Prediction
•  - GPU-based high-performance interactive OpenGL 2D/3D data visualization library
•  A web-based visualization and debugging platform for NuPIC.
•  An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!
•  - Business Intelligence (BI) in Python (Pandas web interface)
•  - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
•  - Statistical modeling and econometrics in Python.
•  - A community Python library for Astronomy.
•  - A Python 2D plotting library.
•  - Interactive Web Plotting for Python.
•  - Collaborative web plotting for Python and matplotlib.
•  - A Python to Vega translator.
•  - A plottling library for Python, based on .
•  - Same API as ggplot2 for R.
•  - Rendering beautiful SVG maps in Python.
•  - A Python SVG Charts Creator.
•  - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.

Data analysis

•  - A Python-based ecosystem of open-source software for mathematics, science, and engineering.
•  - A fundamental package for scientific computing with Python.
•  - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
•  - A high-productivity software for complex networks.
•  - A library providing high-performance, easy-to-use data structures and data analysis tools. ## Sequence Analysis
•  - This is an objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.

IDEs

•  - Commercial Python IDE based on the IntelliJ platform by JetBrains. Has free community edition available.
•  - Commercial polyglot IDE with support for Python.
•  - Free polyglot IDE based on Eclipse. Uses PyDev for Python support.
•  - Open Source Python IDE.
•  - Commercial IDE for Python.

Resources

Websites

•  - News about Python.
•  - Too many popular Python packages don't support Python 3.
•  - Good place to find new Python libraries.
•  - List of top 400 projects in GitHub.
•  - Sharing cool github projects just got easier!
•  - Plain English explanations for every layer of the Python web application stack.

Weekly

Blogs/Podcasts

Data Science / Statistics

Maths

Security Related

Books

Machine-Learning / Data Mining

•  - Book + R Code
•  - Book + IPython Notebooks
•  - Book + Python Code
•  - Alex Smola and S.V.N. Vishwanathan
•  - Amnon Shashua

Natural Language Processing

Neural Networks

Probability & Statistics

•  - Book + Python Code
•  - Book and course by MIT

Linear Algebra

Community

Twitter

Lists

Events

Conferences

Meetups