Jupyter Notebook is an application that enables you to create and share Jupyter notebook .ipynb documents that contain live code, equations, visualizations and narrative text. Jupyter Notebook was originally released in 2011 as the IPython Notebook and offered a simple, document-oriented user experience. Even while Project Jupyter launched on JupyterLab, a more IDE-centric user experience, the Jupyter Notebook application has remained popular among users. Jupyter Notebook 7 is the most significant release of the Jupyter Notebook in years. Some highlights of this release include real-time collaboration, interactive debugging, table of contents, theming and dark mode, internationalization, improved accessibility, compact view on mobile devices. Both Jupyter Notebook and JupyterLab are widely used across data science, machine learning, computational research, and education. With the release of JupyterLab 4 and Jupyter Notebook 7, the two sibling applications offer a unified, flexible, and integrated experience that allows you to get the best of both, in whatever combination that makes sense for you. New Features in Notebook 7 Since Notebook 7 is based on JupyterLab, it includes many of the new features and improvements that have been added to JupyterLab over the past few years. Here is a small glimpse of what users can expect when they upgrade from Jupyter Notebook version 6 to version 7.

Useful links: Google Doc with the planning, useful informations and the restaurant menu Discord Jitsi Tuesday 24 January Morning Round of introductions

December 7, 8 and 9 2022 This shared document will be used to take notes during the workshop. We can also use it to link to external resources and work happening in respective repositories or elsewhere. At the end of the workshop we will be posting these notes publicly: on the Jupyter Discourse: https://discourse.jupyter.org/ as a discussion on the JupyterLite repository: https://github.com/jupyterlite/jupyterlite/discussions feel free to share it elsewhere as well

--- title: 'JupyterHub with GitLab integration' disqus: hackmd --- JupyterHub with GitLab integration ================================== ## Table of Contents [TOC] ## Overview  ## JupyterHub Overview JupyterHub is the best way to serve Jupyter notebooks for multiple users. JupyterHub performs the following functions: - The Hub launches a proxy - The proxy forwards all requests to the Hub by default - The Hub handles user login and spawns single-use