Python for Computational Science - Part 1 (4/5)

by Hans Fangohr (XFEL (XFEL)), Martin Lang (CFEL-SSUCS (SSU Computational Science))

Thursday 6 Feb 2025, 10:00 → 17:00 Europe/Berlin

is yet to be announced

The course has been designed for scientists and engineers to teach the practical programming skills that are relevant for modern computational science. 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 scientists who need to handle data - be it from experiment or simulation – and provides a basis for self learning or directed learning of more specialized topics at a later stage. We recommend to also attend the follow up module “Advanced Python for Computational Science”.

 

 

Topics include:

 

Ø Introduction to Python

Ø Data types & structures

Ø Control flow

Ø Functions

Ø PEP8

Ø Name spaces

Ø File Input/Output

Ø Numpy

Ø matplotlib

Ø Spyder

Ø Jupyter