Introduction to Scientific Computing in Python

This course is intended for students with basic programming knowledge in any language who would like to learn the techniques of scientific programming. The course covers scientific programming in Python, including writing numerical codes with NumPy, data handling including Pandas, visualisation with Matplotlib, Vedo and ParaView, implementing user interfaces with Qt, and creating Python environments for scientific applications. 

Course layout:

The course is spread over three weeks in the following format:

• Week 1 (home) 

  •  Home assignments

• Week 2 (on-site)

  • Introduction to Python

  • Array computing - NumPy/Scipy

  • Data processing - Python / Pandas

  • Scientific Visualisation - Matplotlib / Vedo / ParaView

  • User interfaces with Qt / Intro to web applications

• Week 3 (home)

  • project assignment

Where and when?

The on-campus activities will take place between 8th and 14th of September 2025 at Lund University.

Can I get more information?

Yes, send an email to jonas.lindemann@lunarc.lu.se

How do I register?

APPLY HERE!