PySaar 2024 – Python Course for Engineering

Logo - PySaar 2024

Universität des Saarlandes,
Chair of Modeling and Simulation

Time: April 2nd - 4th 2024, 09:00h - 18:00h

Contents:

  • Python scripts and Jupyter Notebooks,
  • Basic numeric computation,
  • Simulation and optimization,
  • Symbolic computation,
  • Visualization

Lecturers:

  • Carsten Knoll, Dr.-Ing., TU Dresden
  • Amine Othmane, Dr.-Ing., Univ. d. Saarl.

Preparation:

Please bring a notebook (Windows, Linux, MacOS) with at least 1 GB free space and the following installed:

  • Python interpreter (version >= 3.11),
  • Jupyter Notebook,
  • a command line prompt with python support configured.

There are different possibilities to achieve this. Recommendation: Anaconda Distribution (> 800 MB) or Miniconda (< 100 MB). If you choose miniconda, you should also install some packages with the following command:
pip install notebook scipy sympy matplotlib pandas


Material:

https://datashare.tu-dresden.de/s/jHgwL7nJ323DTJF (The files will be updated during the course.)