The Jupyter Notebook and associated tools from Project Jupyter (such as JupyterLab, JupyterHub, BinderHub, Binder, nbval, nbconvert, nbmerge) are becoming a key tool in data science, computational science and data analysis. They are increasingly used at research facilities. Users include support teams, facility scientists and users.
In this work shop, we provide a brief overview of the Jupyter Ecosystem to outline tools and use cases. We invite contributions from all facilities and participants that show the current, planned or desired use of Jupyter at their facilities or elsewhere. Positive experiences as well as negative experience form useful contributions to help others in their planning.
The detailed agenda is displayed below.
To suggest contributions and for informal queries, please contact Hans Fangohr (email@example.com).
This workshop is a satellite meeting associated with the 17th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPSC2019).
This workshop is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 823852 (PaNOSC).
This page is available at http://indico.desy.de/indico/e/jupyter-icalepcs2019.