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<p><em>Python implementation of algorithms and design patterns.</em></p>
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<ul>
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<li><ahref="https://github.com/keon/algorithms">algorithms</a> - Minimal examples of data structures and algorithms in Python.</li>
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<li><ahref="https://github.com/erikrose/more-itertools">more-itertools</a> - More routines for operating on iterables, beyond <code>itertools</code>.</li>
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<li><ahref="https://github.com/tylerlaberge/PyPattyrn">PyPattyrn</a> - A simple yet effective library for implementing common design patterns.</li>
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<li><ahref="https://github.com/prabhupant/python-ds">python-ds</a> - Clean and simple collection of data structure and algorithms in Python for coding interviews.</li>
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<li><ahref="https://github.com/faif/python-patterns">python-patterns</a> - A collection of design patterns in Python.</li>
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<li><ahref="https://github.com/grantjenks/python-sortedcontainers">sortedcontainers</a> - Fast, pure-Python implementation of SortedList, SortedDict, and SortedSet types.</li>
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<li><ahref="https://github.com/prabhupant/python-ds">python-ds</a> - Clean and simple collection of data structure and algorithms in Python for coding interviews.</li>
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<li><ahref="https://github.com/pytransitions/transitions">transitions</a> - A lightweight, object-oriented finite state machine implementation in Python.</li>
<p><em>Functional Programming with Python.</em></p>
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<ul>
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<li><ahref="http://coconut-lang.org/">Coconut</a> - Coconut is a variant of Python built for simple, elegant, Pythonic functional programming.</li>
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<li><ahref="https://github.com/pytoolz/cytoolz/">CyToolz</a> - Cython implementation of Toolz: High performance functional utilities.</li>
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<li><ahref="https://github.com/evhub/coconut">Coconut</a> - A variant of Python built for simple, elegant, Pythonic functional programming.</li>
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<li><ahref="https://github.com/kachayev/fn.py">fn.py</a> - Functional programming in Python: implementation of missing features to enjoy FP.</li>
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<li><ahref="https://github.com/Suor/funcy">funcy</a> - A fancy and practical functional tools.</li>
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<li><ahref="https://github.com/pytoolz/toolz">Toolz</a> - A collection of functional utilities for iterators, functions, and dictionaries.</li>
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<li><ahref="https://github.com/erikrose/more-itertools">more-itertools</a> - More routines for operating on iterables, beyond <code>itertools</code>.</li>
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<li><ahref="https://github.com/dry-python/returns">returns</a> - A set of type-safe monads, tranformers, and composition utilities.</li>
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<li><ahref="https://github.com/pytoolz/toolz">Toolz</a> - A collection of functional utilities for iterators, functions, and dictionaries.</li>
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<li><ahref="https://github.com/pytoolz/cytoolz/">CyToolz</a> - Cython implementation of <code>Toolz</code>: High performance functional utilities.</li>
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</ul>
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<h2id="gui-development">GUI Development</h2>
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<p><em>Libraries for working with graphical user interface applications.</em></p>
<li><ahref="https://github.com/0rpc/zerorpc-python">zeroRPC</a> - zerorpc is a flexible RPC implementation based on <ahref="http://zeromq.org/">ZeroMQ</a> and <ahref="http://msgpack.org/">MessagePack</a>.</li>
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<li><ahref="https://github.com/tomerfiliba/rpyc">RPyC</a> (Remote Python Call) - A transparent and symmetric RPC library for Python</li>
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<li><ahref="https://github.com/tomerfiliba/rpyc">RPyC</a> (Remote Python Call) - A transparent and symmetric RPC library for Python</li>
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</ul>
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<h2id="science">Science</h2>
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<p><em>Libraries for scientific computing. Also see <ahref="https://github.com/TomNicholas/Python-for-Scientists">Python-for-Scientists</a></em></p>
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