After successful completion of the course, students are able to

• read and understand Python code
• understand Python’s built-in types and implement custom types (classes).
• write basic and advanced functions and classes in Python.
• write simple application prototypes in Jupyter notebooks and develop simple multi-module Python packages
• create and run simple test suites for Python code

• Introduction to Python, basic types. Using git for version control.
• Advanced types, operators, strings. Functions, lambda functions.
• Object-oriented programming. Classes, attributes, inheritance, magic functions, static methods.
• List comprehensions, decorators, functional programming.
• Common Python modules. collection, re, networkx, itertools

Lectures and exercises

All information and material is available from the course repository:

https://github.com/tuw-python/tuw-python-2022WS

Workload for Students (in hours):

• Lectures: 15
• Exercises: 22.5

Total: 37.5

Programming exercises for each topic