Explore projects
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Short tutorial about plotting with Pandas in Python
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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
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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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esde / toar-data / TOAR-II analysis service
MIT LicenseThis 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.
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eFlows4HPC WP2 / DataCatalog
BSD 2-Clause "Simplified" LicenseUpdated -
List of most important changes in Stage 2022
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