Introduction to Python

12 hours, no prerequisites

Today, more than 22% of all code worldwide is written in Python (TIOBE index, Jan. 2026). This course provides a structured introduction to Python programming for scientific applications, with a focus on data handling, visualization, and basic analysis. Aimed at complete beginners.

Date: 09–10.02.26
Time: 9:00–16:00
Location: Room K00.020, Biosys Building

Topics include:

• Python environments (Mamba, Spyder)
• Data types, classes, and objects
• Library and module management
• Data input/output with Pandas
• Data visualization using Matplotlib and Seaborn
• Analysis of Poisson-distributed data
• Using AI tools to support Python programming
• Development of simple graphical user interfaces with Tkinter