Jupyter Tutorial (original) (raw)

View this page

Toggle table of contents sidebar

Jupyter notebooks are growing in popularity with data scientists and have become the de facto standard for rapid prototyping and exploratory analysis. They inspire experiments and innovations enormously and as well they make the entire research process faster and more reliable. In addition, many additional components are created that expand the original limits of their use and enable new uses.

However, the Jupyter tutorial is only part of a series of tutorials on data analysis and visualisation:

All tutorials serve as seminar documents for our harmonised training courses: