Explore projects

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 UN workshop

Template for Bootstrap based form

This service extends the TOAR-II REST API to allow statistical analysis of aggregated data. It enhances data download capabilities to allow multi-time-series downloads and snapshots for map display.

List of most important changes in Stage 2022