GitHub - serge-sans-paille/pythran: a claimless python to c++ converter
source link: https://github.com/serge-sans-paille/pythran
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README.rst
Pythran
What is it?
Pythran is an ahead of time compiler for a subset of the Python language, with a focus on scientific computing. 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 supports Python 2.7 and also has a beta Python 3 support.
Installation
Pythran sources are hosted on https://github.com/serge-sans-paille/pythran.
Pythran releases are hosted on http://pypi.python.org/pypi/pythran.
Pythran is available through Conda on https://conda.anaconda.org/serge-sans-paille.
Debian/Ubuntu
Using pip
Gather dependencies:
Pythran depends on a few Python modules and several C++ libraries. On a debian-like platform, run:
$> sudo apt-get install libgmp-dev libatlas-base-dev $> sudo apt-get install python-dev python-ply python-networkx python-numpy
Use
easy_install
orpip
:$> pip install pythran
Using conda
Install
conda
, following the instruction given in http://conda.pydata.org/docs/install/quick.htmlRun:
$> conda install -c serge-sans-paille pythran
Mac OSX
Using brew (http://brew.sh/):
$> brew install gmp $> brew install cmake $> easy_install pip $> pip install numpy pythran
Depending on your setup, you may need to add the following to your \~/.pythranrc`` file:
[compiler] CXX=g++-4.9 CC=gcc-4.9
ArchLinux
Using yaourt:
$> yaourt -S python2-pythran-git
Windows
Windows support is on going and only targets Python 3.5+ with Visual Studio 2017.
% pip install pythran
Other Platform
See MANUAL file.
Basic Usage
A simple pythran input could be dprod.py
:
""" Naive dotproduct! Pythran supports numpy.dot """ #pythran export dprod(int list, int list) def dprod(l0,l1): """WoW, generator expression, zip and sum.""" 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:
$> python -c 'import dprod' # this imports the native module instead
Documentation
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
Examples
See the pythran/tests/cases/
directory from the sources.
Contact
Praise, flame and cookies:
- [email protected] -- register at http://www.freelists.org/list/pythran first!
- #pythran on FreeNode
- [email protected]
The mailing list archive is available at http://www.freelists.org/archive/pythran/.
Citing
If you need to cite a Pythran paper, feel free to use:
@article{guelton2015pythran, title={Pythran: Enabling static optimization of scientific python programs}, author={Guelton, Serge and Brunet, Pierrick and Amini, Mehdi and Merlini, Adrien and Corbillon, Xavier and Raynaud, Alan}, journal={Computational Science \& Discovery}, volume={8}, number={1}, pages={014001}, year={2015}, publisher={IOP Publishing} }
Authors
See AUTHORS file.
License
See LICENSE file.
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