Explore projects
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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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Short tutorial about plotting with Pandas in Python
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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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esde / toar-data / GeoPEAS
MIT LicensePython Django services to extract station characterisation information from global geographic and geophysical datasets
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Workshop material of the 5-day session "Interactive high performance computing with JupyterLab" at the comprehensive school of High Performance Computing (HPC) in Buenos Aires, 13-17. March 2023.
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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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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
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Training course - Interactive High-Performance Computing with Jupyter
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EPI-WP1-Public / Quantum_ESPRESSO
GNU General Public License v2.0 or laterUpdated -
eFlows4HPC WP2 / Data Logistics Service
BSD 2-Clause "Simplified" LicenseeFlows4HPC Data Logistics Service
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