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pythran 0.7.3

a claimless python to c++ converter

Package Documentation

======= Pythran =======

What is it?

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 development is currently done using Python version 2.7.


Pythran sources are hosted on

Pythran releases are hosted on

Pythran is available through Conda on


Using pip

  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 libboost-dev cmake libblas-dev
    $> sudo apt-get install python-dev python-ply python-networkx python-numpy
  2. Use easy_install or pip:

    $> pip install pythran

Using a private debian repo

  1. Add serge_sans_paille’s debian server to your source.list, following the instruction given in

  2. Run the classic:

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

Using conda

  1. Install conda, following the instruction given in

  2. Run:

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


Using brew (

$> 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:



Using yaourt:

$> yaourt -S python2-pythran-git


Using WinPython (, installed in E:\WinPython-32bit-

  1. Install the binary version of CMake (, and make sure to check to check the box to add cmake to the PATH.

  2. Install Boost ( Once the archive is extracted, use the WinPython Command Prompt and run the following:

    cd boost_1_58
    .\b2 toolset=gcc link=shared
    xcopy /E boost E:\WinPython-32bit-\python-2.7.9\include\boost

The python-2.7.9 directory may be python-2.7.9-amd64.

Then cd to the Pythran source, and run:

set BOOST_ROOT=E:\boost_1_58
python install

Other Platform

See MANUAL file.

Basic Usage

A simple pythran input could be

Naive dotproduct! Pythran supports
    #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

That will generate a native that can be imported just like the former module:

$> python -c 'import dprod' # this imports the native module instead


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:

The mailing list archive is available at


See AUTHORS file.


See LICENSE file.

File Type Py Version Uploaded on Size
pythran-0.7.3.tar.gz (md5, pgp) Source 2015-10-18 1MB
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