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README.md
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*Python implementation of algorithms and design patterns.*
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* [algorithms](https://github.com/keon/algorithms) - Minimal examples of data structures and algorithms in Python.
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* [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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* [PyPattyrn](https://github.com/tylerlaberge/PyPattyrn) - A simple yet effective library for implementing common design patterns.
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* [python-ds](https://github.com/prabhupant/python-ds) - Clean and simple collection of data structure and algorithms in Python for coding interviews.
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* [python-patterns](https://github.com/faif/python-patterns) - A collection of design patterns in Python.
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* [sortedcontainers](https://github.com/grantjenks/python-sortedcontainers) - Fast, pure-Python implementation of SortedList, SortedDict, and SortedSet types.
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* [python-ds](https://github.com/prabhupant/python-ds) - Clean and simple collection of data structure and algorithms in Python for coding interviews.
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* [transitions](https://github.com/pytransitions/transitions) - A lightweight, object-oriented finite state machine implementation in Python.
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## ASGI Servers
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*Functional Programming with Python.*
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* [Coconut](http://coconut-lang.org/) - Coconut is a variant of Python built for simple, elegant, Pythonic functional programming.
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* [CyToolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of Toolz: High performance functional utilities.
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* [Coconut](https://github.com/evhub/coconut) - A variant of Python built for simple, elegant, Pythonic functional programming.
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* [fn.py](https://github.com/kachayev/fn.py) - Functional programming in Python: implementation of missing features to enjoy FP.
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* [funcy](https://github.com/Suor/funcy) - A fancy and practical functional tools.
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* [Toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
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* [more-itertools](https://github.com/erikrose/more-itertools) - More routines for operating on iterables, beyond `itertools`.
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* [returns](https://github.com/dry-python/returns) - A set of type-safe monads, tranformers, and composition utilities.
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* [Toolz](https://github.com/pytoolz/toolz) - A collection of functional utilities for iterators, functions, and dictionaries.
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* [CyToolz](https://github.com/pytoolz/cytoolz/) - Cython implementation of `Toolz`: High performance functional utilities.
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## GUI Development
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*RPC-compatible servers.*
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* [zeroRPC](https://github.com/0rpc/zerorpc-python) - zerorpc is a flexible RPC implementation based on [ZeroMQ](http://zeromq.org/) and [MessagePack](http://msgpack.org/).
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* [RPyC](https://github.com/tomerfiliba/rpyc) (Remote Python Call) - A transparent and symmetric RPC library for Python
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* [RPyC](https://github.com/tomerfiliba/rpyc) (Remote Python Call) - A transparent and symmetric RPC library for Python
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## Science
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