Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]


Groups > comp.lang.python.announce > #1448 > unrolled thread

Pythran 0.6 - C++ for snakes

Started byserge Guelton <serge.guelton@enst-bretagne.fr>
First post2014-10-22 15:27 +0200
Last post2014-10-22 15:27 +0200
Articles 1 — 1 participant

Back to article view | Back to comp.lang.python.announce


Contents

  Pythran 0.6 - C++ for snakes serge Guelton <serge.guelton@enst-bretagne.fr> - 2014-10-22 15:27 +0200

#1448 — Pythran 0.6 - C++ for snakes

Fromserge Guelton <serge.guelton@enst-bretagne.fr>
Date2014-10-22 15:27 +0200
SubjectPythran 0.6 - C++ for snakes
Message-ID<mailman.15104.1414048856.18130.python-announce-list@python.org>
===========
Pythran 0.6
===========

The Pythran team is glad to announce Pythran 0.6. It contains many
performance improvements, better Numpy support and the usual code
cleaning and bug fixes.

You can download the release from the cheese shop:

    https://pypi.python.org/pypi/pythran

>From my custom Debian repo:

    http://serge.liyun.free.fr/serge/debian.html

Or keep playing with the git repo:

    https://github.com/serge-sans-paille/pythran

Bug reports are welcome, on github, #pythran on FreeNode or
pythran@freelists.org!

>From the Changelog
==================

* Full SIMD support! Almost all numpy expressions are vectorized

* Better memory management at the Python/C++ layer, esp. when sharing

* Support named parameters

* Better complex numbers support

* A lot of internal code cleaning

* Better code generation for regular loops

* MacOS install guide & ArchLinux packages

* Travis run the test suite, w and w/ SIMD, w and w/ OpenMP

* Many performance improvements at the numpy expression level

* Faster array copies, including slices

* Much better constant folding

* Distutils support through a PythranExtension

* Improve implementation of many numpy functions

* Improve forward substitution

* Use most recent nt2 version

* Make dependency on libgomp optional

What's next?
============

* better numpy support

* better/faster OpenMP support

* code cleaning and refactoring. Always.

[toc] | [standalone]


Back to top | Article view | comp.lang.python.announce


csiph-web