During the past ten years, Python has seen a meteoric rise in both popularity and demand not only in general purpose programming but especially data science contributed to this trend. Despite Python's architectural shortcomings, even the field of High Performance Computing (HPC), with its highly specific demands, profited from recent developments with various libraries and optimizations.

This course introduces the interested participant to Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases. After completion of this two-day course, participants are prepared to effectively develop their own Python libraries or integrate Python into existing projects. 

Target audience

This info session is primarily targeted at VSC-users, although other interested parties are welcome as well.

Prior knowledge required

Participants have programming experience in Python and preferably also in C/C++ or Fortran.

Result/Objectives

Participants can make an informed choice on various techniques to improve the performance of Python code, and know how to call C/C++ or Fortran functions from Python.