Explore projects

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Short tutorial about plotting with Pandas in Python

Atomic Simulation Environemnt

Talk for http://euroscipy.org/2024/