Jupyter lab tutorial
On May 5 & 6 2021, I took part in the Workshop “Kompetenz Forschungsdatenmanagement” organized by the Max Planck Digital Library. Day 2 featured a full session on “Reproducible Science with Jupyter” with a presentation by Hans Fangohr (slides available here) followed by an interactive hands-on tutorial. In part 1 of the tutorial, I step through a data analysis workflow based on the Johns-Hopkins University CoViD19 dataset from github. Part 2 and 3 are about Bayesian Inference of SIR model parameters, kindly provided by Johannes Zierenberg from MPI Dynamics and Selforganization.
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