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Description:

pythran 0.16.1

https://pythran.readthedocs.io

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 descriptions 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.
Until 0.9.5 (included), Pythran was supporting Python 3 and Python 2.7.
It now only supports Python 3.

Installation
Pythran sources are hosted on https://github.com/serge-sans-paille/pythran.
Pythran releases are hosted on https://pypi.python.org/pypi/pythran.
Pythran is available on conda-forge on https://anaconda.org/conda-forge/pythran.

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 libatlas-base-dev
$> sudo apt-get install python-dev python-ply python-numpy

Install with pip:
$> pip install pythran

Using mamba or conda

Using mamba (https://github.com/conda-forge/miniforge#mambaforge) or conda (https://github.com/conda-forge/miniforge)
Run:
$> mamba install -c conda-forge pythran
or:
$> conda install -c conda-forge pythran

Mac OSX
Using brew (https://brew.sh/):
$> pip install pythran
$> brew install openblas
$> printf '[compiler]\nblas=openblas\ninclude_dirs=/usr/local/opt/openblas/include\nlibrary_dirs=/usr/local/opt/openblas/lib' > ~/.pythranrc
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 pacman:
$> pacman -S python-pythran

Fedora
Using dnf:
$> dnf install pythran

Windows
Windows support is on going and only targets Python 3.5+ with either Visual Studio 2017 or, better, clang-cl:
$> pip install pythran
Note that using clang-cl.exe is the default setting. It can be changed
through the CXX and CC environment variables.

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. There is also a TUTORIAL file for those who don’t like reading
documentation.
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
$> pydoc -b # in the browser

Examples
See the pythran/tests/cases/ directory from the sources.

Contact
Praise, flame and cookies:

pythran@freelists.org – register at https://www.freelists.org/list/pythran first!
#pythran on OFTC, https://oftc.net
serge.guelton@telecom-bretagne.eu

The mailing list archive is available at https://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.