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@ -232,14 +232,18 @@
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<li><a href="#debugging-tools">Debugging Tools</a></li>
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<li><a href="#science-and-data-analysis">Science and Data Analysis</a></li>
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<li><a href="#science">Science</a></li>
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<li><a href="#data-analysis">Data Analysis</a></li>
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<li><a href="#data-visualization">Data Visualization</a></li>
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<li><a href="#computer-vision">Computer Vision</a></li>
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<li><a href="#machine-learning">Machine Learning</a></li>
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<li><a href="#deep-learning">Deep Learning</a></li>
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<li><a href="#computer-vision">Computer Vision</a></li>
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<li><a href="#mapreduce">MapReduce</a></li>
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<li><a href="#functional-programming">Functional Programming</a></li>
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@ -288,6 +292,8 @@
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<li><a href="#twitter">Twitter</a></li>
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<li><a href="#podcasts">Podcasts</a></li>
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||||
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<li class="main "><a href="#other-awesome-lists">Other Awesome Lists</a></li>
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@ -367,12 +373,14 @@
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<li><a href="#testing">Testing</a></li>
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<li><a href="#code-analysis-and-linter">Code Analysis and Linter</a></li>
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<li><a href="#debugging-tools">Debugging Tools</a></li>
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<li><a href="#science-and-data-analysis">Science and Data Analysis</a></li>
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||||
<li><a href="#science">Science</a></li>
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<li><a href="#data-analysis">Data Analysis</a></li>
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<li><a href="#data-visualization">Data Visualization</a></li>
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<li><a href="#computer-vision">Computer Vision</a></li>
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<li><a href="#machine-learning">Machine Learning</a></li>
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<li><a href="#functional-programming">Functional Programming</a></li>
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<li><a href="#deep-learning">Deep Learning</a></li>
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<li><a href="#computer-vision">Computer Vision</a></li>
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<li><a href="#mapreduce">MapReduce</a></li>
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<li><a href="#functional-programming">Functional Programming</a></li>
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<li><a href="#third-party-apis">Third-party APIs</a></li>
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<li><a href="#devops-tools">DevOps Tools</a></li>
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<li><a href="#chatops-tools">ChatOps Tools</a></li>
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@ -397,6 +405,7 @@
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<li><a href="#websites">Websites</a></li>
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<li><a href="#weekly">Weekly</a></li>
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<li><a href="#twitter">Twitter</a></li>
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<li><a href="#podcasts">Podcasts</a></li>
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</ul>
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</li>
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<li><a href="#other-awesome-lists">Other Awesome Lists</a></li>
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@ -428,7 +437,7 @@
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<p><em>Local PyPI repository server and proxies.</em></p>
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<ul>
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<li><a href="https://github.com/pypa/warehouse">warehouse</a> - Next generation Python Package Repository (PyPI).<ul>
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<li><a href="https://warehouse.python.org/">Warehouse</a></li>
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<li><a href="https://pypi.org/">Warehouse</a></li>
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</ul>
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</li>
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<li><a href="https://bitbucket.org/pypa/bandersnatch">bandersnatch</a> - PyPI mirroring tool provided by Python Packaging Authority (PyPA).</li>
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@ -457,8 +466,8 @@
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<h2 id="interactive-interpreter">Interactive Interpreter</h2>
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<p><em>Interactive Python interpreters (REPL).</em></p>
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<ul>
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<li><a href="https://jupyter.org">Jupyter Notebook (IPython)</a> - A rich toolkit to help you make the most out of using Python interactively.</li>
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<li><a href="https://github.com/bpython/bpython">bpython</a> – A fancy interface to the Python interpreter.</li>
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<li><a href="https://jupyter.org">Jupyter Notebook (IPython)</a> - A rich toolkit to help you make the most out of using Python interactively.</li>
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<li><a href="https://github.com/bpython/bpython">bpython</a> - A fancy interface to the Python interpreter.</li>
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<li><a href="https://github.com/jonathanslenders/ptpython">ptpython</a> - Advanced Python REPL built on top of the <a href="https://github.com/jonathanslenders/python-prompt-toolkit">python-prompt-toolkit</a>.</li>
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</ul>
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<h2 id="files">Files</h2>
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@ -475,6 +484,7 @@
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<h2 id="date-and-time">Date and Time</h2>
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<p><em>Libraries for working with dates and times.</em></p>
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<ul>
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<li><a href="https://github.com/sdispater/pendulum">Pendulum</a> - Python datetimes made easy.</li>
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<li><a href="https://github.com/crsmithdev/arrow">arrow</a> - Better dates & times for Python.</li>
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<li><a href="https://github.com/KoffeinFlummi/Chronyk">Chronyk</a> - A Python 3 library for parsing human-written times and dates.</li>
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<li><a href="https://github.com/dateutil/dateutil">dateutil</a> - Extensions to the standard Python <a href="https://docs.python.org/2/library/datetime.html">datetime</a> module.</li>
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@ -637,6 +647,7 @@
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<h2 id="imagery">Imagery</h2>
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<p><em>Libraries for manipulating images.</em></p>
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<ul>
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<li><a href="https://github.com/daboth/pagan">pagan</a> - Retro identicon (Avatar) generation based on input string and hash.</li>
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<li><a href="https://github.com/python-pillow/Pillow">pillow</a> - Pillow is the friendly <a href="http://www.pythonware.com/products/pil/">PIL</a> fork.</li>
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<li><a href="https://github.com/rossgoodwin/hmap">hmap</a> - Image histogram remapping.</li>
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<li><a href="https://sourceforge.net/projects/imgseek/">imgSeek</a> - A project for searching a collection of images using visual similarity.</li>
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@ -767,6 +778,7 @@
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</li>
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<li>Others<ul>
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<li><a href="https://github.com/Widdershin/butterdb">butterdb</a> - A Python ORM for Google Drive Spreadsheets.</li>
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<li><a href="https://github.com/pudo/dataset">dataset</a> - A JSON-based database.</li>
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</ul>
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</li>
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</ul>
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@ -987,7 +999,8 @@
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<li><a href="https://github.com/pallets/markupsafe">MarkupSafe</a> - Implements a XML/HTML/XHTML Markup safe string for Python.</li>
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<li><a href="https://github.com/gawel/pyquery">pyquery</a> - A jQuery-like library for parsing HTML.</li>
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<li><a href="https://github.com/stchris/untangle">untangle</a> - Converts XML documents to Python objects for easy access.</li>
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<li><a href="https://github.com/xhtml2pdf/xhtml2pdf">xhtml2pdf</a> - HTML/CSS to PDF converter.</li>
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<li><a href="http://weasyprint.org">WeasyPrint</a> - A visual rendering engine for HTML and CSS that can export to PDF.</li>
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<li><a href="https://xmldataset.readthedocs.io">xmldataset</a> - Simple XML Parsing.</li>
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<li><a href="https://github.com/martinblech/xmltodict">xmltodict</a> - Working with XML feel like you are working with JSON.</li>
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</ul>
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<h2 id="web-crawling">Web Crawling</h2>
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<li><a href="https://github.com/sshwsfc/xadmin">django-xadmin</a> - Drop-in replacement of Django admin comes with lots of goodies.</li>
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<li><a href="https://github.com/flask-admin/flask-admin">flask-admin</a> - Simple and extensible administrative interface framework for Flask.</li>
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<li><a href="https://github.com/mher/flower">flower</a> - Real-time monitor and web admin for Celery.</li>
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<li><a href="http://grappelliproject.com">Grappelli</a> – A jazzy skin for the Django Admin-Interface.</li>
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<li><a href="http://grappelliproject.com">Grappelli</a> - A jazzy skin for the Django Admin-Interface.</li>
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<li><a href="https://github.com/wooey/wooey">Wooey</a> - A Django app which creates automatic web UIs for Python scripts.</li>
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</ul>
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<h2 id="static-site-generator">Static Site Generator</h2>
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<p><em>Static site generator is a software that takes some text + templates as input and produces HTML files on the output.</em></p>
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<ul>
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<li><a href="http://blog.getpelican.com/">Pelican</a> - Uses Markdown or ReST for content and Jinja 2 for themes. Supports DVCS, Disqus. AGPL.</li>
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<li><a href="https://github.com/koenbok/Cactus/">Cactus</a> – Static site generator for designers.</li>
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<li><a href="https://github.com/koenbok/Cactus/">Cactus</a> - Static site generator for designers.</li>
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<li><a href="http://hyde.github.io/">Hyde</a> - Jinja2-based static web site generator.</li>
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<li><a href="https://www.getnikola.com/">Nikola</a> - A static website and blog generator.</li>
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<li><a href="http://tinkerer.me/">Tinkerer</a> - Tinkerer is a blogging engine/.static website generator powered by Sphinx.</li>
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<li><a href="http://eventlet.net/">eventlet</a> - Asynchronous framework with WSGI support.</li>
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<li><a href="http://www.gevent.org/">gevent</a> - A coroutine-based Python networking library that uses <a href="https://github.com/python-greenlet/greenlet">greenlet</a>.</li>
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<li><a href="https://github.com/madisonmay/Tomorrow">Tomorrow</a> - Magic decorator syntax for asynchronous code.</li>
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<li><a href="https://github.com/MagicStack/uvloop">uvloop</a> - Ultra fast implementation of asyncio event loop on top of libuv.</li>
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</ul>
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<h2 id="networking">Networking</h2>
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<p><em>Libraries for networking programming.</em></p>
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<p><em>WSGI-compatible web servers.</em></p>
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<ul>
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<li><a href="https://pypi.python.org/pypi/gunicorn">gunicorn</a> - Pre-forked, partly written in C.</li>
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<li><a href="https://uwsgi-docs.readthedocs.io/">uwsgi</a> - A project aims at developing a full stack for building hosting services, written in C.</li>
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<li><a href="https://uwsgi-docs.readthedocs.io/">uWSGI</a> - A project aims at developing a full stack for building hosting services, written in C.</li>
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<li><a href="https://pypi.python.org/pypi/bjoern">bjoern</a> - Asynchronous, very fast and written in C.</li>
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<li><a href="http://www.fapws.org/">fapws3</a> - Asynchronous (network side only), written in C.</li>
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<li><a href="https://pypi.python.org/pypi/meinheld">meinheld</a> - Asynchronous, partly written in C.</li>
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<li><a href="https://github.com/hivesolutions/netius">netius</a> - Asynchronous, very fast.</li>
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<li><a href="http://pythonpaste.org/">paste</a> - Multi-threaded, stable, tried and tested.</li>
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<li><a href="https://pypi.python.org/pypi/rocket">rocket</a> - Multi-threaded.</li>
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<li><a href="https://waitress.readthedocs.io/">waitress</a> - Multi-threaded, poweres Pyramid.</li>
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<li><a href="https://waitress.readthedocs.io/">waitress</a> - Multi-threaded, powers Pyramid.</li>
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<li><a href="http://werkzeug.pocoo.org/">Werkzeug</a> - A WSGI utility library for Python that powers Flask and can easily be embedded into your own projects.</li>
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</ul>
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<h2 id="rpc-servers">RPC Servers</h2>
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<li><a href="https://pypi.python.org/pypi/doublex">doublex</a> - Powerful test doubles framework for Python.</li>
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<li><a href="https://github.com/spulec/freezegun">freezegun</a> - Travel through time by mocking the datetime module.</li>
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<li><a href="https://github.com/patrys/httmock">httmock</a> - A mocking library for requests for Python 2.6+ and 3.2+.</li>
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<li><a href="http://falcao.it/HTTPretty/">httpretty</a> - HTTP request mock tool for Python.</li>
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<li><a href="https://github.com/gabrielfalcao/HTTPretty">httpretty</a> - HTTP request mock tool for Python.</li>
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<li><a href="https://github.com/getsentry/responses">responses</a> - A utility library for mocking out the requests Python library.</li>
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<li><a href="https://github.com/kevin1024/vcrpy">VCR.py</a> - Record and replay HTTP interactions on your tests.</li>
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</ul>
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</ul>
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</li>
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<li>Fake Data<ul>
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<li><a href="http://www.joke2k.net/faker/">faker</a> - A Python package that generates fake data.</li>
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<li><a href="https://github.com/lk-geimfari/church">church</a> - is a Python library that help you generate fake data.</li>
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<li><a href="https://github.com/joke2k/faker">faker</a> - A Python package that generates fake data.</li>
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<li><a href="https://github.com/emirozer/fake2db">fake2db</a> - Fake database generator.</li>
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<li><a href="https://pypi.python.org/pypi/radar">radar</a> - Generate random datetime / time.</li>
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</ul>
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<ul>
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<li>Debugger<ul>
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<li><a href="https://pypi.python.org/pypi/ipdb">ipdb</a> - IPython-enabled <a href="https://docs.python.org/2/library/pdb.html">pdb</a>.</li>
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<li><a href="https://pypi.python.org/pypi/pudb">pudb</a> – A full-screen, console-based Python debugger.</li>
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<li><a href="https://pypi.python.org/pypi/pudb">pudb</a> - A full-screen, console-based Python debugger.</li>
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<li><a href="https://github.com/google/pyringe">pyringe</a> - Debugger capable of attaching to and injecting code into Python processes.</li>
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<li><a href="https://github.com/Kozea/wdb">wdb</a> - An improbable web debugger through WebSockets.</li>
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<li><a href="http://winpdb.org/">winpdb</a> - A Python Debugger with GUI, capable of remote debugging based on <code>rpdb2</code>.</li>
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@ -1269,45 +1284,66 @@
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</ul>
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</li>
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</ul>
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<h2 id="science-and-data-analysis">Science and Data Analysis</h2>
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<p><em>Libraries for scientific computing and data analyzing.</em></p>
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<h2 id="science">Science</h2>
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<p><em>Libraries for scientific computing.</em></p>
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<ul>
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<li><a href="http://www.astropy.org/">astropy</a> - A community Python library for Astronomy.</li>
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<li><a href="https://github.com/chapmanb/bcbio-nextgen">bcbio-nextgen</a> - A toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.</li>
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<li><a href="https://github.com/chapmanb/bcbio-nextgen">bcbio-nextgen</a> - Providing best-practice pipelines for fully automated high throughput sequencing analysis.</li>
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<li><a href="https://github.com/chapmanb/bcbb">bccb</a> - Collection of useful code related to biological analysis.</li>
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<li><a href="http://biopython.org/wiki/Main_Page">Biopython</a> - Biopython is a set of freely available tools for biological computation.</li>
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<li><a href="https://github.com/blaze/blaze">blaze</a> - NumPy and Pandas interface to Big Data.</li>
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<li><a href="http://cclib.github.io/">cclib</a> - A library for parsing and interpreting the results of computational chemistry packages.</li>
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<li><a href="https://networkx.github.io/">NetworkX</a> - A high-productivity software for complex networks.</li>
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<li><a href="http://neupy.com/pages/home.html">Neupy</a> - Running and testing different Artificial Neural Networks algorithms.</li>
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<li><a href="http://nipy.org">NIPY</a> - A collection of neuroimaging toolkits.</li>
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<li><a href="http://numba.pydata.org/">Numba</a> - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.</li>
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<li><a href="http://www.numpy.org/">NumPy</a> - A fundamental package for scientific computing with Python.</li>
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<li><a href="http://openbabel.org/wiki/Main_Page">Open Babel</a> - A chemical toolbox designed to speak the many languages of chemical data.</li>
|
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<li><a href="https://github.com/mining/mining">Open Mining</a> - Business Intelligence (BI) in Python (Pandas web interface)</li>
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<li><a href="http://orange.biolab.si/">orange</a> - Data mining, data visualization, analysis and machine learning through visual programming or Python scripting.</li>
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<li><a href="http://pandas.pydata.org/">Pandas</a> - A library providing high-performance, easy-to-use data structures and data analysis tools.</li>
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<li><a href="http://www.pydy.org/">PyDy</a> - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.</li>
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<li><a href="http://www.pydy.org/">PyDy</a> - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion.</li>
|
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<li><a href="https://github.com/pymc-devs/pymc3">PyMC</a> - Markov Chain Monte Carlo sampling toolkit.</li>
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<li><a href="http://www.rdkit.org/">RDKit</a> - Cheminformatics and Machine Learning Software.</li>
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<li><a href="http://www.scipy.org/">SciPy</a> - A Python-based ecosystem of open-source software for mathematics, science, and engineering.</li>
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<li><a href="https://github.com/statsmodels/statsmodels">statsmodels</a> - Statistical modeling and econometrics in Python.</li>
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<li><a href="https://github.com/sympy/sympy">SymPy</a> - A Python library for symbolic mathematics.</li>
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<li><a href="https://github.com/quantopian/zipline">zipline</a> - A Pythonic algorithmic trading library.</li>
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<li><a href="https://github.com/quantopian/zipline">Zipline</a> - A Pythonic algorithmic trading library.</li>
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</ul>
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<h2 id="data-analysis">Data Analysis</h2>
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<p><em>Libraries for data analyzing.</em></p>
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<ul>
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<li><a href="https://github.com/blaze/blaze">Blaze</a> - NumPy and Pandas interface to Big Data.</li>
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<li><a href="https://github.com/mining/mining">Open Mining</a> - Business Intelligence (BI) in Pandas interface.</li>
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<li><a href="http://orange.biolab.si/">Orange</a> - Data mining, data visualization, analysis and machine learning through visual programming or scripts.</li>
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<li><a href="http://pandas.pydata.org/">Pandas</a> - A library providing high-performance, easy-to-use data structures and data analysis tools.</li>
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</ul>
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<h2 id="data-visualization">Data Visualization</h2>
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<p><em>Libraries for visualizing data. See: <a href="https://github.com/sorrycc/awesome-javascript#data-visualization">awesome-javascript</a>.</em></p>
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<ul>
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<li><a href="http://matplotlib.org/">matplotlib</a> - A Python 2D plotting library.</li>
|
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<li><a href="https://github.com/bokeh/bokeh">bokeh</a> - Interactive Web Plotting for Python.</li>
|
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<li><a href="https://github.com/altair-viz/altair">Altair</a> - Declarative statistical visualization library for Python.</li>
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<li><a href="https://github.com/bokeh/bokeh">Bokeh</a> - Interactive Web Plotting for Python.</li>
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<li><a href="https://github.com/yhat/ggplot">ggplot</a> - Same API as ggplot2 for R.</li>
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<li><a href="https://plot.ly/python/">plotly</a> - Collaborative web plotting for Python and matplotlib.</li>
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||||
<li><a href="http://www.pygal.org/en/latest/">pygal</a> - A Python SVG Charts Creator.</li>
|
||||
<li><a href="https://pypi.python.org/pypi/pygraphviz">pygraphviz</a> - Python interface to <a href="http://www.graphviz.org/">Graphviz</a>.</li>
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<li><a href="http://matplotlib.org/">Matplotlib</a> - A Python 2D plotting library.</li>
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||||
<li><a href="http://www.pygal.org/en/latest/">Pygal</a> - A Python SVG Charts Creator.</li>
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||||
<li><a href="https://pypi.python.org/pypi/pygraphviz">PyGraphviz</a> - Python interface to <a href="http://www.graphviz.org/">Graphviz</a>.</li>
|
||||
<li><a href="http://www.pyqtgraph.org/">PyQtGraph</a> - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.</li>
|
||||
<li><a href="http://jiffyclub.github.io/snakeviz/">SnakeViz</a> - A browser based graphical viewer for the output of Python's cProfile module.</li>
|
||||
<li><a href="https://github.com/wrobstory/vincent">vincent</a> - A Python to Vega translator.</li>
|
||||
<li><a href="http://vispy.org/">VisPy</a> - High-performance scientific visualization based on OpenGL.</li>
|
||||
<li><a href="https://github.com/mwaskom/seaborn">Seaborn</a> - Statistical data visualization using Matplotlib.</li>
|
||||
<li><a href="https://github.com/vispy/vispy">VisPy</a> - High-performance scientific visualization based on OpenGL.</li>
|
||||
</ul>
|
||||
<h2 id="machine-learning">Machine Learning</h2>
|
||||
<p><em>Libraries for Machine Learning. See: <a href="https://github.com/josephmisiti/awesome-machine-learning#python">awesome-machine-learning</a>.</em></p>
|
||||
<ul>
|
||||
<li><a href="https://github.com/piskvorky/gensim">gensim</a> - Topic Modelling for Humans.</li>
|
||||
<li><a href="http://spark.apache.org/mllib/">MLlib</a> - <a href="http://spark.apache.org/">Apache Spark</a>'s scalable Machine Learning library.</li>
|
||||
<li><a href="https://github.com/numenta/nupic">NuPIC</a> - Numenta Platform for Intelligent Computing.</li>
|
||||
<li><a href="https://github.com/clips/pattern">pattern</a> - Web mining module for Python.</li>
|
||||
<li><a href="https://github.com/lisa-lab/pylearn2">Pylearn2</a> - A Machine Learning library based on <a href="https://github.com/Theano/Theano">Theano</a>.</li>
|
||||
<li><a href="http://scikit-learn.org/">scikit-learn</a> - The most popular Python library for Machine Learning.</li>
|
||||
<li><a href="https://github.com/josephreisinger/vowpal_porpoise">vowpal_porpoise</a> - A lightweight Python wrapper for <a href="https://github.com/JohnLangford/vowpal_wabbit/">Vowpal Wabbit</a>.</li>
|
||||
</ul>
|
||||
<h2 id="deep-learning">Deep Learning</h2>
|
||||
<p><em>Frameworks for Neural Networks and Deep Learning. See: <a href="https://github.com/ChristosChristofidis/awesome-deep-learning">awesome-deep-learning</a>.</em></p>
|
||||
<ul>
|
||||
<li><a href="https://github.com/BVLC/caffe">Caffe</a> - A fast open framework for deep learning..</li>
|
||||
<li><a href="https://github.com/fchollet/keras">Keras</a> - A high-level neural networks library and capable of running on top of either TensorFlow or Theano.</li>
|
||||
<li><a href="http://neupy.com/pages/home.html">Neupy</a> - Running and testing different Artificial Neural Networks algorithms.</li>
|
||||
<li><a href="https://github.com/tensorflow/tensorflow">TensorFlow</a> - The most popular Deep Learning framework created by Google.</li>
|
||||
<li><a href="https://github.com/Theano/Theano">Theano</a> - A library for fast numerical computation.</li>
|
||||
</ul>
|
||||
<h2 id="computer-vision">Computer Vision</h2>
|
||||
<p><em>Libraries for computer vision.</em></p>
|
||||
|
|
@ -1315,22 +1351,6 @@
|
|||
<li><a href="http://opencv.org/">OpenCV</a> - Open Source Computer Vision Library.</li>
|
||||
<li><a href="http://simplecv.org/">SimpleCV</a> - An open source framework for building computer vision applications.</li>
|
||||
</ul>
|
||||
<h2 id="machine-learning">Machine Learning</h2>
|
||||
<p><em>Libraries for Machine Learning. See: <a href="https://github.com/josephmisiti/awesome-machine-learning#python">awesome-machine-learning</a>.</em></p>
|
||||
<ul>
|
||||
<li><a href="https://github.com/muricoca/crab">Crab</a> - A flexible, fast recommender engine.</li>
|
||||
<li><a href="https://github.com/piskvorky/gensim">gensim</a> - Topic Modelling for Humans.</li>
|
||||
<li><a href="https://github.com/hannes-brt/hebel">hebel</a> - GPU-Accelerated Deep Learning Library in Python.</li>
|
||||
<li><a href="https://github.com/numenta/nupic">NuPIC</a> - Numenta Platform for Intelligent Computing.</li>
|
||||
<li><a href="https://github.com/clips/pattern">pattern</a> - Web mining module for Python.</li>
|
||||
<li><a href="https://github.com/pybrain/pybrain">PyBrain</a> - Another Python Machine Learning Library.</li>
|
||||
<li><a href="https://github.com/lisa-lab/pylearn2">Pylearn2</a> - A Machine Learning library based on <a href="https://github.com/Theano/Theano">Theano</a>.</li>
|
||||
<li><a href="https://github.com/ocelma/python-recsys">python-recsys</a> - A Python library for implementing a Recommender System.</li>
|
||||
<li><a href="http://scikit-learn.org/">scikit-learn</a> - A Python module for machine learning built on top of SciPy.</li>
|
||||
<li><a href="https://github.com/andersbll/deeppy">pydeep</a> - Deep learning in python</li>
|
||||
<li><a href="https://github.com/josephreisinger/vowpal_porpoise">vowpal_porpoise</a> - A lightweight Python wrapper for <a href="https://github.com/JohnLangford/vowpal_wabbit/">Vowpal Wabbit</a>.</li>
|
||||
<li><a href="https://github.com/tensorflow/skflow">skflow</a> - A simplified interface for <a href="https://github.com/tensorflow/tensorflow">TensorFlow</a> (mimicking scikit-learn).</li>
|
||||
</ul>
|
||||
<h2 id="mapreduce">MapReduce</h2>
|
||||
<p><em>Frameworks and libraries for MapReduce.</em></p>
|
||||
<ul>
|
||||
|
|
@ -1408,6 +1428,7 @@
|
|||
<p><em>Libraries for making Python faster.</em></p>
|
||||
<ul>
|
||||
<li><a href="http://cython.org/">Cython</a> - Optimizing Static Compiler for Python. Uses type mixins to compile Python into C or C++ modules resulting in large performance gains.</li>
|
||||
<li><a href="http://numba.pydata.org/">Numba</a> - Python JIT complier to LLVM aimed at scientific Python.</li>
|
||||
<li><a href="https://github.com/Maratyszcza/PeachPy">PeachPy</a> - x86-64 assembler embedded in Python. Can be used as inline assembler for Python or as a stand-alone assembler for Windows, Linux, OS X, Native Client and Go.</li>
|
||||
<li><a href="http://pypy.org/">PyPy</a> - An implementation of Python in Python. The interpreter uses black magic to make Python very fast without having to add in additional type information.</li>
|
||||
<li><a href="https://github.com/dropbox/pyston">Pyston</a> - A Python implementation built using LLVM and modern JIT techniques with the goal of achieving good performance.</li>
|
||||
|
|
@ -1515,7 +1536,7 @@
|
|||
<h2 id="websites">Websites</h2>
|
||||
<ul>
|
||||
<li><a href="https://www.reddit.com/r/python">r/Python</a></li>
|
||||
<li><a href="https://www.coolgithubprojects.com/">CoolGithubProjects</a></li>
|
||||
<li><a href="https://www.reddit.com/r/coolgithubprojects/">/r/CoolGithubProjects</a></li>
|
||||
<li><a href="https://www.djangopackages.com/">Django Packages</a></li>
|
||||
<li><a href="https://www.fullstackpython.com/">Full Stack Python</a></li>
|
||||
<li><a href="http://python3wos.appspot.com/">Python 3 Wall of Superpowers</a></li>
|
||||
|
|
@ -1523,6 +1544,7 @@
|
|||
<li><a href="https://python.zeef.com/alan.richmond">Python ZEEF</a></li>
|
||||
<li><a href="https://github.com/trending?l=python">Trending Python repositories on GitHub today</a></li>
|
||||
<li><a href="http://pypi-ranking.info/alltime">PyPI Ranking</a></li>
|
||||
<li><a href="http://python.libhunt.com">Awesome Python @LibHunt</a></li>
|
||||
</ul>
|
||||
<h2 id="weekly">Weekly</h2>
|
||||
<ul>
|
||||
|
|
@ -1542,11 +1564,16 @@
|
|||
<li><a href="https://twitter.com/pythontrending">@pythontrending</a></li>
|
||||
<li><a href="https://twitter.com/PythonWeekly">@PythonWeekly</a></li>
|
||||
</ul>
|
||||
<h2 id="podcasts">Podcasts</h2>
|
||||
<ul>
|
||||
<li><a href="http://podcastinit.com/">Podcast.init</a></li>
|
||||
<li><a href="https://talkpython.fm/">Talk Python To Me</a></li>
|
||||
</ul>
|
||||
<h1 id="other-awesome-lists">Other Awesome Lists</h1>
|
||||
<p>List of lists.</p>
|
||||
<ul>
|
||||
<li>Python<ul>
|
||||
<li><a href="https://github.com/kirang89/pycrumbs/blob/master/pycrumbs.md">pycrumbs</a></li>
|
||||
<li><a href="https://github.com/kirang89/pycrumbs">pycrumbs</a></li>
|
||||
<li><a href="https://github.com/checkcheckzz/python-github-projects">python-github-projects</a></li>
|
||||
<li><a href="https://github.com/rasbt/python_reference">python_reference</a></li>
|
||||
<li><a href="https://github.com/svaksha/pythonidae">pythonidae</a></li>
|
||||
|
|
@ -1560,7 +1587,7 @@
|
|||
</ul>
|
||||
<h1 id="contributing">Contributing</h1>
|
||||
<p>Your contributions are always welcome! Please take a look at the <a href="https://github.com/vinta/awesome-python/blob/master/CONTRIBUTING.md">contribution guidelines</a> first.</p>
|
||||
<p>I would keep some pull requests open if I'm not sure whether the libraries are awesome, you could <a href="https://github.com/vinta/awesome-python/pulls">vote for them</a> by adding :+1: to them.</p></div>
|
||||
<p>I will keep some pull requests open if I'm not sure whether those libraries are awesome, you could <a href="https://github.com/vinta/awesome-python/pulls">vote for them</a> by adding :+1: to them. Pull requests will be merged when their votes reach <strong>20</strong>.</p></div>
|
||||
</div>
|
||||
|
||||
<footer class="col-md-12">
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -4,7 +4,7 @@
|
|||
|
||||
<url>
|
||||
<loc>http://awesome-python.com/</loc>
|
||||
<lastmod>2016-05-25</lastmod>
|
||||
<lastmod>2016-11-06</lastmod>
|
||||
<changefreq>daily</changefreq>
|
||||
</url>
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user