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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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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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A Singularity container for a python workflow to visualize global climate model data on a 3-dimensional sphere using ParaView.
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EPI-WP1-Public / CP2K
GNU General Public License v2.0 or laterUpdated -
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pdc-summer-school / cuda-lab-exercises
Creative Commons Attribution Share Alike 4.0 InternationalUpdated