Nicolas M. Thiéry

With the rise of computation and data as pillars of science, institutions are struggling to provide large-scale training to their students and staff. Often, this leads to redundant, fragmented efforts, with each organization producing its own bespoke training material.

Jupyter based environments are getting a lot of traction for teaching computing, programming, and data sciences. The narrative structure of notebooks has indeed proven its value for guiding each student at it's own pace to the discovery and understanding of new concepts or new idioms (e.g.