Antoine Prouvost
Antoine is a Scientific Software Engineer at Quantstack where he led devlopment efforts on the Mamba package manager, as well as on the Xeus-Octave Jupyter kernel and Xtensor. He obtained a Ph.D. in combinatorial optimization and machine learning from École Polytechnique de Montréal in 2021 where he worked at the interplay of deep learning and operations research. During that time, he developed Ecole a mixed Python/C++ library to ease the research on the use of machine learning methods for decision making inside mathematical solvers.
Session
JupyterLite is a web-based distribution of JupyterLab that runs entirely in the browser, leveraging WebAssembly builds of language kernels and interpreters.
In this talk, we introduce emscripten-forge, a conda-based software distribution tailored for WebAssembly and the web browser. Emscripten-forge empowers several JupyterLite kernels, including:
- xeus-Python for Python,
- xeus-R for R,
- xeus-Octave for GNU Octave.
These kernels cover some of the most popular languages in scientific computing.
Additionally, emscripten-forge includes builds for various terminal applications, utilized by the Cockle shell emulator to enable the JupyterLite terminal.