After successful completion of the course, students are able to...
...write simple python scripts/programs in the scientific context.
...use NumPy, SciPy, and Matplotlib.
...explain the basic concepts and peculiarities of Python and NumPy.

- Built-in types
- Branches, loops, exceptions, modules
- Functions and namespaces
- NumPy, SciPy, and Matplotlib
- Classes

Lecture (Powerpoint with audio); quizzes (TUWEL);  homework developing a program step by step; discussion of homeworks (Zoom meetings).

Python is a versatile programming language with a clear, compact syntax. It combines the features of traditional programming languages /Fortran, C/C++, Java) with those of higher-level tools like matlab with, e.g., easy access to operating system operations. Python therefore is on the rise; in the scientific context this is indicated by the SciPy project that coordinates the development of Python tools for scientific computing, and by the fact that an increasing number of software written in traditional programming languages offer Python interfaces that allow their more flexible control and postprocessing of the data.

Homework, oral exam.

Knowledge of a higher programming language like C is required. Familiarity with the basic principles of object oriented programming is of advantage but not required. Knowledge of Python is not assumed.