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Fundamentals of Python

Veranstaltungsdaten

Event language: English

In this event, you will learn the fundamentals of Python programming, for example, how to use Python to analyze scientific data. The event consists of a series of modules, each of which has a lecture and exercise part. In the exercises, you are encouraged to work on your own problems and data sets, if applicable. Specifically, the course will address the following:

• Introduction to the capabilities of Python with reference to exemplary use cases
• Getting started, installation, Jupyter Notebooks, Spyder, Anaconda, command line
• Python syntax: data types and variables, conditional statements and loops, functions
• Introduction to data treatment with Numpy
• Reading and writing of files
• First steps of visualization with Matplotlib
• BONUS: Advancing Python skills using AI tools

Qualification Outcomes

After attending the event, you will be familiar with

• the fundamental Python syntax, including data types and variables, conditional statements and loops, and functions;
• how to write Python scripts using interactive Jupyter Notebooks, Spyder, as well as a common text editor;
• how to use the Numpy library for data handling;
• how to read/write data from/to files;
• the basics of visualizing data with the Matplotlib library;
• how to use AI tools to troubleshoot and advance your programming skills.

Methods

Half of the event involves lectures and input by the instructor and the other half coding exercises in which you will practice the newly acquired methods in small breakout groups. You are encouraged to bring your own data sets and/or coding problems to work on.

Requirements 

For this event, you do not need any prior knowledge of Python or any other programming language. You will use your own laptop/computer. A few days prior to the event, you will receive instructions on how to install the necessary software packages.

Proficiency in English at the B2 level of competency or higher is required.

Dates

October 28, 2026, 9 am–4 pm, and
October 29, 2026, 9 am–4 pm, and
October 30, 2026, 9 am–4 pm

Target group

Doctoral candidates and postdocs from all disciplines

Modalities

Maximum number of 12 participants
Attendance fee 75 EUR

Registration

Please register until October 13, 2026 using the online registration form.