Explore projects

PRACE Workshop - Interactive High-Performance Computing with Jupyter

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

Short tutorial about plotting with Pandas in Python

REST API to TOAR-II database using FastAPI

Python Django services to extract station characterisation information from global geographic and geophysical datasets

eFlows4HPC Data Logistics Service

Training course - Interactive High-Performance Computing with Jupyter