EVENTS

Lecturer: Hans Fangohr

Building on Part 1, this course covers additional aspects:

1. advanced Python (including list comprehension, names and side effects, functional programming, object orientation, performance)
2. additional libraries such as scipy, pandas, and sympy
3. research software engineering and testing, and
4. selected numerical methods and application examples with focus on natural science and engineering problems.

Aspects (1) to (3) are covered in the beginning of the course. Part (4) is delivered at the end of the week, and can be omitted if not relevant to the participant.

Anticipated topics:

• Higher order functions
• programming paradigms
• scipy, pandas, sympy
• Research software engineering practices, in particular testing
• Python package installation
• interpolation, root finding, curve fitting
• Optimisation, computing derivatives
• Integration of ordinary differential equations

Details here

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