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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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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EPI-WP1-Public / Quantum_ESPRESSO
GNU General Public License v2.0 or laterUpdated -
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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