Integrating Jupyter Notebooks into your Infrastructure

Jupyter Notebooks allow you to create and share interactive documents containing both rich text and executable code. As researchers, you can write Notebooks that allow your readers to reproduce your results on their own. As data scientists, you can use interactive visualizations to explore and analyze data sets directly in your browser. With official support for Python, Julia and R and community support for programming languages ranging from Fortran to JavaScript, Jupyter can be used in a wide variety of workflows. In this talk, you will learn how a custom JupyterHub installation has been used to seamlessly integrate Jupyter Notebooks into the existing infrastructure at the Jülich Centre for Neutron Science and the Peter Grünberg Institute. After introducing JupyterHub and its components, the presentation will show how each can be customized to use already existing resources and services, such as LDAP authentication, NFS-based storage and custom software distributions.