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Samples and documentation for the "Getting started with Deep Learning on Supercomputers" tutorial.

How to create a custom container-based environment with jupyter that works at home an @jsc

Short tutorial about plotting with Pandas in Python

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

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Reporting module