Hi there, Pythran just released its 0.8.7 version. A quick reminder: Pythran is a compiler for scientific Python, it can be used to turn Python kernels as: #pythran export laplacien(float64[][][3]) import numpy as np def laplacien(image): out_image = np.abs(4*image[1:-1,1:-1] - image[0:-2,1:-1] - image[2:,1:-1] - image[1:-1,0:-2] - image[1:-1,2:]) valmax = np.max(out_image) valmax = max(1.,valmax)+1.E-9 out_image /= valmax return out_image In a native library that runs much faster. Note the ``#pythran export`` line that specifies that the native version only accepts 3D arrays with last dimension set to 3. It's available on pypi: https://pypi.org/project/pythran/ on conda-forge (linux and osx): https://anaconda.org/conda-forge/pythran and on github: https://github.com/serge-sans-paille/pythran Special Thanks for this release to: - Yann Diorcet for all his work on the Windows compatibility - Jean Laroche for the bug reports on OSX - Marteen for his « red dragon » gift - h-vetinari, vgroff, DerWeh, ucyo, Chronum94, paugier, gouarin and Dapid for their bug reports. - alexbw for setting up the conda-forge build This release closes the following issues: https://github.com/serge-sans-paille/pythran/issues?utf8=%E2%9C%93&q=is%3Aissue+is%3Aclosed+updated%3A%3E2018-06-01+ A more detailed changelog is available at https://pythran.readthedocs.io/en/latest/Changelog.html Enjoy, and if not, submit bug report :-) Serge