Hi all,
It is my pleasure to announce the release of version 0.9.0 of the
Pythran compiler, a compiler for numerical kernels written in Python.
It is available for download on PyPI;
pip install pythran
And on Conda through conda-forge:
conda install -c conda-forge pythran
The major change of this release is undoubtedly the use of xsimd [0] as
the new vectorization engine, which in turns enables vectorization of
complex number expressions! All the details are in the changelog reproduced
below.
And an outstanding new: looks like Pythran is used at least in one
research team at Facebook \o/
In spite of the short window, we received *a lot* of bug report, thanks
a lot to @DerWeh, @KOLANICH, @RalphFS, @ashwinvis, @diorcety,
@h-vetinari, @jeanlaroche, @lw3259111, @paugier, @vgroff for reporting
and sometimes fixing issues. Special thanks go to @wolfv and
@JohanMabille for the xsimd
support.
We're getting closer to 1.0, which will probably be the first one to
drop 2.7 support (goal: 2020).
Until then, happy computations!
--
Serge
[0] https://github.com/QuantStack/xsimd
=====
2018-11-06 Serge Guelton <serge.guel...@telecom-bretagne.eu>
* Moving to xsimd as vectorization engine, requires -DUSE_XSIMD
* Better support of view conversion from Python to Pythran
* Improved Cython integration
* Improved documentation, add example section
* Updated ArchLinux Packaging
* Remove useless warnings during compilation
* Faster ``abs(x**2)`` for complex numbers
* IPython magic now accepts most optimization flags
* Automatic detection of partially (or fully) constant shape for arrays
* Add ignoreflags settings to .pythranrc to skip some compiler flags
* Quad number (aka long double) basic support
* And many minor bugfixes, as usual :-)
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