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.guelton@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 :-)