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PRACE Workshop - Interactive High-Performance Computing with Jupyter
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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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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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Stefan Kesselheim / jax-md
Apache License 2.0Differentiable, Hardware Accelerated, Molecular Dynamics
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