EVENTS

Building on Part 1, this course covers additional aspects:

1. advanced Python
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 functions and ordinary differential equations

Register here for part 2 (deadline is Wednesday 18 February 2026)