Description
Jupyter allows to develop (Python-based) applications, so-called notebooks, which bundle code, documentation and results, e.g. plots. The advantages over classical script-based approaches is the feature to recompute only parts of the analysis code, which allows for fast and iterative development, and a web-based user frontend, which can be hosted centrally and only requires a browser on the user side. This talk will give a short introduction into the jupyter ecosystem.
Speaker
Nils Braun
(KIT)
