a claimless python to c++ converter
======= Pythran =======
What is it?
Pythran is a python to c++ compiler for a subset of the python language. It takes a python module annotated with a few interface description and turns it into a native python module with the same interface, but (hopefully) faster.
It is meant to efficiently compile scientific programs, and takes advantage of multi-cores and SIMD instruction units.
Pythran development is currently done using Python version 2.7.
Pythran sources are hosted on https://github.com/serge-sans-paille/pythran.
Pythran releases are hosted on http://pypi.python.org/pypi/pythran.
Pythran depends on a few Python modules and several C++ libraries. On a debian-like platform, run:
$> sudo apt-get install libboost-python-dev libgoogle-perftools-dev libgmp-dev libboost-dev git cmake $> sudo apt-get install python-ply python-networkx python-pytest python-numpy
Use the install target from setup script, in source directory:
$> python setup.py install --prefix=<my_prefix>
Write your environment in stone:
$> export PYTHONPATH=<my_prefix>/lib/python<my_version>/site-packages $> export PATH=<my_prefix>/bin:$PATH
Add serge_sans_paille’s debian server to your source.list, following the instruction given in http://serge.liyun.free.fr/serge/debian.html
Run the classic:
$> sudo apt-get update $> sudo apt-get install pythran
A simple pythran input could be dprod.py:
#pythran export dprod(int list, int list) def dprod(l0,l1): return sum(x*y for x,y in zip(l0,l1))
To turn it into a native module, run:
$> pythran dprod.py
That will generate a native dprod.so that can be imported just like the former module.
The user documentation is available in the MANUAL file from the doc directory.
The developer documentation is available in the DEVGUIDE file from the doc directory. The also is a TUTORIAL file for those who don’t like reading documentation.
A todo list is maintained in the eponymous TODO file.
The CLI documentation is available from the pythran help command:
$> pythran --help
Some extra developer documentation is also available using pydoc. Beware, this is the computer science incarnation for the famous Where’s Waldo? game:
$> pydoc pythran $> pydoc pythran.typing
See the pythran/tests/cases/ directory from the sources.
Praise, flame and cookies:
See LICENSE file.
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