PySaar 2024 – Python Course for Engineering
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.)