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Short tutorial about plotting with Pandas in Python

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

This projects hosts the changelog of the most relevant aspects of the software stages deployed in JSC supercomputers.

The public mirror of these EasyBuild managed stages is at the moment in https://github.com/easybuilders/JSC

Differentiable, Hardware Accelerated, Molecular Dynamics