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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

Talk for the 2025 Easybuild User meeting in Jülich

Talk for the https://events.hifis.net/event/1741/timetable/#20250226.detailed on 26.02, 11:40

Training course - Interactive High-Performance Computing with Jupyter

Atomic Simulation Environemnt