Python for Computational Science - Part 2

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

Thursday 20 Feb 2025, 11:00 → 18:00 Europe/Berlin

is yet to be announced

Building on “Introduction to Python for Computational Science”, this course covers additional aspects: (i) advanced Python, (ii) additional libraries such as numpy, scipy, pandas, sympy, (iii) research software engineering and testing, and (iv) application examples with focus on physics and engineering problems.

 
Parts (i) to (iii) are covered in the beginning of the course. Part (iv) is delivered at the end of the week, and can be omitted if not relevant to the participant.

 

 

Topics include:

 

Ø Higher order functions

Ø programming paradigms

Ø scipy, pandas, sympy

Ø Research software engineering practices, in particular testing

Ø Python installations

Ø interpolation, root finding, curvefitting

Ø Optimisation, computing derivatives

Ø Integration of ordinary differential equations