a claimless python to c++ converter
Project description
Pythran
#######
.. image:: https://travis-ci.org/serge-sans-paille/pythran.png?branch=master
:target: https://travis-ci.org/serge-sans-paille/pythran
http://pythonhosted.org/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**.
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``
*************
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
Using a private debian repo
***************************
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
Using ``conda``
***************
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
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
=======
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 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:
- 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/.
Authors
-------
See AUTHORS file.
License
-------
See LICENSE file.
#######
.. image:: https://travis-ci.org/serge-sans-paille/pythran.png?branch=master
:target: https://travis-ci.org/serge-sans-paille/pythran
http://pythonhosted.org/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**.
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``
*************
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
Using a private debian repo
***************************
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
Using ``conda``
***************
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
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
=======
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 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:
- 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/.
Authors
-------
See AUTHORS file.
License
-------
See LICENSE file.
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