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README.md
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README.md
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@ -98,7 +98,7 @@ so you need Python.
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* [python-user-agents](https://github.com/selwin/python-user-agents) - Browser user agent parser.
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* [shortuuid](https://github.com/stochastic-technologies/shortuuid) - A generator library for concise, unambiguous and URL-safe UUIDs.
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* [tablib](https://github.com/kennethreitz/tablib) - A module for Tabular Datasets in XLS, CSV, JSON, YAML.
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* [sqlparse](https://sqlparse.readthedocs.org/) - A non-validating SQL parser. It provides support for parsing, splitting and formatting SQL statements.
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* [sqlparse](https://sqlparse.readthedocs.org/) - A non-validating SQL parser.
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* [Pygments](http://pygments.org/) - A generic syntax highlighter.
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* [python-slugify](https://github.com/un33k/python-slugify) - A Python slugify library that handles unicode.
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* [unicode-slugify](https://github.com/mozilla/unicode-slugify) - A slugifier that generates unicode slugs. Developed by Mozilla.
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* [chardet](https://github.com/chardet/chardet) - Python 2/3 compatible character encoding detector.
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* [xpinyin](https://github.com/lxneng/xpinyin) - A library to translate chinese hanzi (漢字) to pinyin (拼音).
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* [pangu.py](https://github.com/vinta/pangu.py) - Spacing texts.
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* [python-docx](https://github.com/mikemaccana/python-docx) - Reads, queries and modifies Microsoft Word 2007/2008 docx files.
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* [xlwt / xlrd](http://www.python-excel.org/) - A package is for writing and reading data and formatting information from Excel files.
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* [XlsxWriter](https://xlsxwriter.readthedocs.org/) - A Python module for creating Excel .xlsx files.
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* [PyYAML](http://pyyaml.org/) - YAML implementations for Python.
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*Web development frameworks.*
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* [Django](https://www.djangoproject.com/) - A high-level Python Web framework that encourages rapid development and clean, pragmatic design.
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* [Django](https://www.djangoproject.com/) - The most popular web framework in Python.
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* [Flask](http://flask.pocoo.org/) - A microframework for Python.
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* [Bottle](http://bottlepy.org/) - A fast, simple and lightweight WSGI micro web-framework.
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* [Pyramid](http://www.pylonsproject.org/) - A small, fast, down-to-earth, open source Python web framework.
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*Content Management Systems*
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* [Mezzanine](http://mezzanine.jupo.org/) - A powerful, consistent, and flexible content management platform. Built using the Django framework.
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* [Mezzanine](http://mezzanine.jupo.org/) - A powerful, consistent, and flexible content management platform.
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* [Wagtail](http://wagtail.io/) - A Django content management system
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* [django-oscar](http://oscarcommerce.com/) - An open-source ecommerce framework for Django.
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*Libraries for implementing authentications schemes.*
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* [python-social-auth](https://github.com/omab/python-social-auth) - An easy-to-setup social authentication mechanism with support for several frameworks and auth providers.
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* [python-social-auth](https://github.com/omab/python-social-auth) - An easy-to-setup social authentication mechanism.
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* [django-oauth-toolkit](https://github.com/evonove/django-oauth-toolkit) - OAuth2 goodies for the Djangonauts.
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* [django-oauth2-provider](https://github.com/caffeinehit/django-oauth2-provider) - Providing OAuth2 access to Django app.
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* [python-oauth2](https://github.com/simplegeo/python-oauth2) - A fully tested, abstract interface to creating OAuth clients and servers.
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*Libraries for sending and parsing email.*
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* [inbox.py](https://github.com/kennethreitz/inbox.py) - Python SMTP Server for Humans.
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* [imbox](https://github.com/martinrusev/imbox) - Python IMAP for Humans.
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* [django-celery-ses](https://github.com/StreetVoice/django-celery-ses) - Django email backend with AWS SES and Celery.
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* [Twisted](https://twistedmatrix.com/trac/) - An event-driven networking engine.
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* [Tornado](http://www.tornadoweb.org/) - A Web framework and asynchronous networking library.
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## Admin Panels
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*Libraries for administrative interfaces.*
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* [Ajenti](https://github.com/Eugeny/ajenti) - The admin panel your servers deserve.
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* [django-xadmin](https://github.com/sshwsfc/django-xadmin) - Drop-in replacement of Django admin comes with lots of goodies.
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* [flask-admin](https://github.com/mrjoes/flask-admin) - Simple and extensible administrative interface framework for Flask.
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* [flower](https://github.com/mher/flower) - Real-time monitor and web admin for Celery.
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## DevOps Tools
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*Software and libraries for DevOps*
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* [Ansible](http://www.ansible.com/) - An IT automation tool.
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* [SaltStack](http://www.saltstack.com/community/) - Infrastructure automation and management system.
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* [Fabric](http://www.fabfile.org/) - Tool for streamlining the use of SSH for application deployment or systems administration tasks.
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* [Fabtools](http://fabtools.readthedocs.org/) - Tools for writing awesome Fabric files.
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* [Fabtools](https://github.com/ronnix/fabtools) - Tools for writing awesome Fabric files.
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* [cuisine](https://github.com/sebastien/cuisine) - Chef-like functionality for Fabric.
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* [gunicorn](http://gunicorn.org/) - A WSGI HTTP Server for UNIX, fast clients and sleepy applications.
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* [Supervisor](http://supervisord.org/) - A Process Control System.
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* [psutil](https://github.com/giampaolo/psutil) - A cross-platform process and system utilities module.
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* [PySide](http://qt-project.org/wiki/pyside) - Python bindings for the Qt cross-platform application and UI framework.
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* [wxPython](http://wxpython.org/) - A blending of the wxWidgets C++ class library with the Python.
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* [kivy](http://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, MacOSX, Android and iOS.
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* [kivy](http://kivy.org/) - A library for creating NUI applications, running on Windows, Linux, Mac OS X, Android and iOS.
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## Logging
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* [logging](https://docs.python.org/2/library/logging.html) - (Python standard library) Logging facility for Python.
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* [Sentry](https://pypi.python.org/pypi/sentry) - A realtime logging and aggregation server.
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* [Raven](http://raven.readthedocs.org/) - A Python client for Sentry.
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* [Raven](http://raven.readthedocs.org/) - The Python client for Sentry.
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## Testing
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* [matplotlib](http://matplotlib.org/) - A Python 2D plotting library.
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* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
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* [Pandas](http://pandas.pydata.org/) - A library providing high-performance, easy-to-use data structures and data analysis tools.
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* [PyMC](https://github.com/pymc-devs/pymc) - A module for Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo fitting algorithms.
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* [PyMC](https://github.com/pymc-devs/pymc) - Markov Chain Monte Carlo sampling toolkit.
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* [zipline](https://github.com/quantopian/zipline) - A Pythonic algorithmic trading library.
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* [ggplot](https://github.com/yhat/ggplot) - Same API as ggplot2 for R.
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* [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy.
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* [pattern](https://github.com/clips/pattern) - Web mining module for Python.
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* [NuPIC](http://numenta.org/) - Numenta Platform for Intelligent Computing.
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* [Pylearn2](http://deeplearning.net/software/pylearn2/) - A Machine Learning library based on [Theano](https://github.com/Theano/Theano).
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* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
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* [Pylearn2](https://github.com/lisa-lab/pylearn2) - A Machine Learning library based on [Theano](https://github.com/Theano/Theano).
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* [hebel](https://github.com/hannes-brt/hebel) - GPU-Accelerated Deep Learning Library in Python.
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* [gensim](https://github.com/piskvorky/gensim) - Topic Modelling for Humans.
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* [PyBrain](https://github.com/pybrain/pybrain) - Another Python Machine Learning Library.
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* [Crab](https://github.com/muricoca/crab) - A flexible, fast recommender engine.
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* [python-recsys](https://github.com/ocelma/python-recsys) - A Python library for implementing a Recommender System.
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* [dpark](https://github.com/douban/dpark) - Python clone of Spark, a MapReduce alike framework in Python.
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* [luigi](https://github.com/spotify/luigi) - A module that helps you build complex pipelines of batch jobs.
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* [mrjob](https://github.com/Yelp/mrjob) - Run MapReduce jobs on Hadoop or Amazon Web Services.
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* [dumbo](https://github.com/klbostee/dumbo) - Python module that allows one to easily write and run Hadoop programs.
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## Third-party APIs
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* [s3cmd](https://github.com/s3tools/s3cmd) - A command line tool for managing Amazon S3 and CloudFront.
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* [twython](https://github.com/ryanmcgrath/twython) - A Python wrapper for the Twitter API.
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## Algorithms and Design Patterns
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*Collections of algorithms and design patterns.*
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* [python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns in Python.
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* [algorithms](https://github.com/nryoung/algorithms) - module of algorithms for Python.
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## Miscellaneous
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*Useful libraries or tools that don't fit in the categories above.*
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## Articles
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* TODO
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* [More About Unicode in Python 2 and 3](http://lucumr.pocoo.org/2014/1/5/unicode-in-2-and-3/)
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# Contributing
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