Progress report for Logilab
Reporting period from March 2017 to January 2018
Finance and administration
- Julian Rüth that works on SageMath packaging and continuous integration.
Publication of a new version of the Pythran library that allows to compile Python code into HPC-optimized high performance code. See http://serge-sans-paille.github.io/pythran-stories/toward-a-simpler-and-faster-pythran-compiler.html
New version of simulagora.com virtual research environment that allows users to prepare customized virtual machines embedding a set of softwares and to deploy “tools” that can be described as micro web applications that require very little development skills to set up, but make it easy to make available complex simulations to users.
Packaging of SageMath 8.2 in Conda
Work in progress
Study of the impact of the use of the Pythran compiler inside SageMath and SciPy where computational algorithms might benefit from a HPC-optimized code.
Integration of Pythran into Cython in order to use Pythran optimized code for some computational operations (NumPy or standard library).
Library for exporting code samples from Sphinx documents into a set of Jupyter notebooks and for integrating back the code outputs computed by Jupyter into the Sphinx documents.
Packaging of Sage and related libraries in Conda and Debian, trying to set up a continuous integration process.
Workshops and dissemination activities
Participation to ODK’s Workshop on live structured documents October 16-20 of 2017, Oslo