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Message from discussion On-topic: alternate Python implementations
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Steven D'Aprano  
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 More options Aug 4 2012, 2:15 am
Newsgroups: comp.lang.python
From: Steven D'Aprano <steve+comp.lang.pyt...@pearwood.info>
Date: 04 Aug 2012 06:15:20 GMT
Local: Sat, Aug 4 2012 2:15 am
Subject: On-topic: alternate Python implementations
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Most people are aware, if only vaguely, of the big Four Python
implementations:

CPython, or just Python, the reference implementation written in C.
IronPython, written in .NET.
Jython, written in Java.
PyPy, the optimizing implementation written in Python (actually, it's
written in a subset of Python, RPython).

But the Python ecosystem is a lot bigger than just those four. Here are
just a few other implementations that you might be interested in:

Stackless - the "forgetten Python", Stackless is, I believe, the oldest
implementation behind only CPython itself. It's a fork of CPython with
the calling stack removed and fast and lightweight microthreads, and is
used extensively in EVE Online.

http://www.stackless.com/

Nuitka - optimising Python compiler written in C++, supports Python 2.6
and 2.7, claims to be up to twice as fast as CPython.

http://nuitka.net/pages/overview.html

WPython - another optimizing version of Python with wordcodes instead of
bytecodes.

http://code.google.com/p/wpython/

CLPython, an implementation of Python written in Common Lisp.

http://common-lisp.net/project/clpython/

CapPython is an experimental restricted version of Python with
capabilities.

http://plash.beasts.org/wiki/CapPython
http://en.wikipedia.org/wiki/Object-capability_model

Berp - a compiler which works by translating Python to Haskell and
compiling that.

https://github.com/bjpop/berp/wiki

Give them some love!

--
Steven


 
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