Prerequisites:

Basic Python knowledge is required.

Summary:

Python has rapidly advanced to the most popular programming language in science and research. From data analysis to simulation and preparation of publications, all can be done in Python with appropriate libraries and implementing own modules. We will discuss Python Enhancement Proposals (PEP) and how these can help you write cleaner code. Common pitfalls in Python will be explained with examples. We will demonstrate typical “bad programming” and how to code the examples in a more pythonic way.

Learning Objectives:

After the course participants will

- Understand the basic PEP recommendations
- Use a linter and code formatter to ensure following of the guidelines
- Write better=more readable code
- Avoid bugs through best practices for example in passing keyword arguments

The idea behind this network is to give members access to Insight Talks by IWR researchers who have successfully secured prestigious awards such as Humboldt Professorships, ERC Grants, or Emmy Noether Fellowships, while also connecting them with peers facing similar career challenges and opportunities. We also aim to offer coaching on how to become an effective supervisor and inspiring teacher — including a certificate that could strengthen your future academic applications.

The network will provide opportunities to explore research prizes and participate in joint activities, such as Science Slams. Through open exchange, mentoring, and training in academic career planning, CV design, leadership, and science communication, the program seeks to develop skills essential for leading a research group, engaging diverse audiences, presenting at conferences, and writing impactful papers. If this sparks your interest, we warmly invite you to join the IWR Early-Career Researchers' Network! Simply sign up with your university email address to receive regular updates and event invitations.