Tutorial Material
- Task bundle (Notebooks, data)
- Slides
- PDF (exported from HTML presentation; imperfect)
- Jupyter Notebook
- HTML presentation bundle
Occasion 1: Thursday, 27 May 2021, 9:00 - 12:30, online
Occasion 2: Wednesday, 2 June 2021, 9:00 - 12:30, online
Pandas solves the full stack of data analysis in Python; reading-in of data, mangling and manipulation, analysis, and visualisation (and much more, actually). It builds up on established Python packages and can be used interchangeably with them (like Numpy, matplotlib); it fits perfectly into the Jupyter Notebooks workflow of modern-day data analysis. 🐼
Setup: Lecture/hands-on sessions with prepared Jupyter Notebooks
Video Conference: webconf.fz-juelich.de/b/and-dpz-oxw-rwc