In the five-day course “Advanced Python - Analysis and Visualization of Scientific Data” the participants learn the most fundamental skills for analyzing (large) scientific data sets using Python and Jupyter Notebooks.

Each of the five course days consists of lectures and exercises. In the exercises, the participants are encouraged to work on their own data sets, if applicable.



Day 1: Brief revision of Python Syntax and Jupyter notebooks, first data analysis and visualization with Numpy and Matplotlib. Discussion of participants’ projects.
Day 2: Treating larger data sets with Numpy and Pandas.
Day 3: Visualization of data with Matplotlib, version control with git.
Day 4: Fitting and filtering of data, virtual environments.
Day 5: Brief introduction to parallelization, symbolic calculations.

Online Workshop: "Advanced Python - Analysis and Visualization of Scientific Data"

Date & Time:

Wed, April 6, 9am - 12.30pm

Wed, April 13, 9am - 12.30pm

Wed, April, 20, 9am - 12.30pm

Wed, April, 27, 9am - 12.30pm

Wed, May, 4, 9am - 12.30pm

Trainer: Dr. Alexander Britz is a trainer, coach and facilitator specialized on working with young scientist. Next to science and academia, he is passionate about innovation, sustainability, diversity, and community. As part of his mission, he is continuously working on developing novel teaching and learning formats and finding new ways to elevate science. To learn more about him, visit www.alexbritz.de.

Registration: https://indico.desy.de/event/32340/

As the number of participants is limited, early registration is strongly recommended.