http://pythonhosted.org/pythran/

Pythran is a Python to c++ 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.

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.

1. 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 libblas-dev
   $> sudo apt-get install python-dev python-ply python-networkx python-numpy

2. Use easy_install or pip:

   $> pip install pythran

1. Add serge_sans_paille's debian server to your source.list, following the instruction given in http://serge.liyun.free.fr/serge/debian.html

2. Run the classic:

   $> sudo apt-get update
   $> sudo apt-get install pythran

1. Install conda, following the instruction given in http://conda.pydata.org/docs/install/quick.html

2. Run:

   $> conda install -c serge-sans-paille pythran

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 \~/.pythranrcfile:: [compiler] CXX=g++-4.9 CC=gcc-4.9 ArchLinux ========= Using `yaourt`:: $> yaourt -S python2-pythran-git Windows ======= Using WinPython (http://winpython.github.io), start the WinPython prompt and run:: % pip install pythran Other Platform ============== See MANUAL file. Basic Usage ----------- A simple pythran input could bedprod.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 thepythran/tests/cases/`` directory from the sources.

Praise, flame and cookies:

• pythran@freelists.org -- register at http://www.freelists.org/list/pythran first!
• #pythran on FreeNode
• serge.guelton@telecom-bretagne.eu

The mailing list archive is available at http://www.freelists.org/archive/pythran/.

See AUTHORS file.

See LICENSE file.