Python for Science and Engineering: Advanced

Advanced Programming with Python

You have already mastered the basics of Python and are ready to take the next step?
The course Python – Advanced is designed for those who not only want to use Python, but also apply it purposefully to demanding scientific and technical tasks.

The focus is on advanced concepts, complex automation processes, data-intensive analyses, as well as numerical and statistical computations. In addition, you will learn how to efficiently process large volumes of data and create meaningful visualisations – with a practical and application-oriented approach.

This course is part of the university programme Python for Science and Engineering (Module 2) and can be recognised as credit towards the full programme upon successful completion.

• Extended object-oriented aspects: inheritance, operator overloading, exceptions
• Functional aspects: lambda operator, map, filter, list comprehensions, iterators, generators
• Modules and namespaces
• Special features of the language: duck typing, docstrings, manipulation of objects and classes on runtime, exceptions
• Data model
• Further topics:
  • Decorators, changing classes on runtime, exec function
  • Advanced file handling: xml, json, yaml
  • Software development: unittest, doctest, Python Debugger
  • Short introduction: numpy
  • Machine learning: keras introduction
  • GUI: tkinter
  • Code optimization: ctypes, Cython