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add: implementations of python

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"Psyco" and "Unladen Swallow" not added, because seemed deprecated
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thinwybk (there is no way back) 2016-10-21 17:17:33 +02:00 committed by GitHub
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@ -5,6 +5,7 @@ A curated list of awesome Python frameworks, libraries, software and resources.
Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- [Awesome Python](#awesome-python)
- [Implementations](#implementations)
- [Environment Management](#environment-management)
- [Package Management](#package-management)
- [Package Repositories](#package-repositories)
@ -100,6 +101,19 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
- - -
## Implementations
*Implementations of Python.*
* [CLPython](https://github.com/metawilm/cl-python) - Implementation of the Python programming language written in Common Lisp.
* [CPython](https://hg.python.org/cpython) - **Default, most widely used implementation of the Python programming language written in C.**
* [IronPython](https://github.com/IronLanguages/ironpython3) - Implementation of the Python programming language written in C# targeting the .NET Framework and Mono.
* [Jython](https://hg.python.org/jython) - Implementation of Python programming language written in Java for the Java virtual machine (JVM).
* [MicroPython](https://github.com/micropython/micropython) - MicroPython - a lean and efficient Python programming language implementation for microcontrollers and constrained systems
* [PyPy](https://bitbucket.org/pypy/pypy) - Implementation of the Python programming language written in RPython and translated into C. PyPy focuses on speed, efficiency and compatibility with the original CPython interpreter.
* [PySec](https://github.com/ebranca/owasp-pysec) - Hardened version of python that makes it easier for security professionals and developers to write applications more resilient to attacks and manipulations.
* [Stackless Python](https://bitbucket.org/stackless-dev/stackless/wiki/Home) - An enhanced version of the Python programming language which allows programmers to reap the benefits of thread-based programming without the performance and complexity problems associated with conventional threads.
## Environment Management
*Libraries for Python version and environment management.*