Course: Introduction to Python

Workshop Description: In this hands-on workshop, we will explore the Python and Pandas data analysis ecosystem in depth, applying them to data analysis of a real-world electrophysiology neuroscience experiment! Collaboration sessions see participants working in small teams, collaborating to learn new skills and share their perspectives in a diverse environment. Libraries like Numpy, XArray, Seaborn, Pingouin, and Matplotlib will help span the data analysis path between processed neuroscience data and final results. At the end of each session, all interactive Jupyter notebooks that explore the tools introduced that day will be available for further independent learning and review, with teachers available to answer questions and extra homework assignments provided to help digest the new material.

Participant Prerequisites: People of all skill levels, experiences, and backgrounds are welcome! This is a beginner's course, but it is intensive and will cover territory that many experienced Python coders find useful. Practice homework and extra tutoring will be offered to help everyone get the most out of the workshop.

About the Trainer: A group leader for the iBehave Open Technology Support group at the University of Bonn, Dr. Nicholas Del Grosso has been working with and teaching neuroscience researchers in Germany computational skills in Python for 11 years. His "Learner-Centered Teaching" philosophy puts socializing, inclusiveness, practice, and applied work at the heart of his hands-on workshops, making them a rewarding and intense experiences for the more-than-700 researchers who have participated in his events. With a Ph.D. in Systems Neuroscience from LMU Munich and a Masters in Behavioral Neuroscience from the Graduate Training Center in Tübingen, Nick is excited to spend time with his alma mater and share some of the latest tools with researchers in Tübingen!

Contact monika.lam@tuebingen.mpg.de for registration information.