EVENTS

Lecturer: Hans Fangohr

Python for Computational Science Part 1

The course has been designed for researchers to learn practical programming skills that are relevant for use of data processing, data science and computation in domain specific contexts. The module does not assume prior programming knowledge of participants. The module uses hands-on activities for all participants to exercise and experiment with the taught material. The course introduces skills that are advantageous for data handling - be it from experiment or simulation – and provides a basis for self learning or directed learning of more specialised topics at a later stage.

Part 2 of the course provides a deeper look into Python and introduces a wider range of libraries.

Anticipated topics:

• Introduction to Python
• Data types & structures
• Control flow
• Functions
• PEP8
• Name spaces
• File Input/Output
• Numpy
• matplotlib
• Spyder
• IPython
• Jupyter

Details here

Register here for part 1 (deadline is Sunday 26 January 2025)