Hi folks, It's always a pleasure to announce a Pythran release, and here we go for a version bump! Short reminder: Pythran is an ahead-of-time compiler for scientific Python, with a focus on high-level numerical kernels, parallelism and vectorisation. Here is a simple kernel example, with a pythran annotation. Note that this kernel is still Python-compatible (from https://stackoverflow.com/questions/50658884): #pythran export euclidean_distance_square(float64[1,:], float64[:,:]) import numpy as np def euclidean_distance_square(x1, x2): return -2*np.dot(x1, x2.T) + np.sum(np.square(x1), axis=1)[:, np.newaxis] + np.sum(np.square(x2), axis=1) The Pythran package is available on PyPI, Github and Conda https://pypi.org/project/pythran/ https://anaconda.org/conda-forge/pythran https://github.com/serge-sans-paille/pythran Packages exist for archlinux and Fedora, they'll probably be updated soon :-) The interested reader can have a look to the changelog for details https://pythran.readthedocs.io/en/latest/Changelog.html Most notably, this release provides support for Python 3.7 and Python 3.8, as well as the ability to use clang-cl as a (better) backend compiler for Windows. Huge thanks to all contributors: paugier Anubhab Haldar Jean Laroche polo and bug reporters: paugier nbecker gdementen mgirardis MordicusEtCubitus Dapid piotrbartman m-romanov slayoo martibosch jeanlaroche