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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jards / httpaccessmanagement
BSD 3-Clause "New" or "Revised" LicenseManagement tool for secure applying for service accounts to any other webservice. Generation of htpasswd files and API to apply for service accounts as a user.
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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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Daniel Abele / shapeopt
GNU General Public License v3.0 onlyShape optimization for interior Neumann eigenvalues.
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