Title: JupyterHub: what it is, what it isn't, who it's for, and who it's foren't

# Title: JupyterHub: what it is, what it isn't, who it's for, and who it's foren't Track: Jupyter community Audience level: Intermediate ## Short summary (400 chars) > Short paragraph, maximum 400 characters. If your proposal is accepted, this will be in the public program. An introduction to JupyterHub, its intended uses, and a guide to how to get started deploying Jupyter for your humans. We will include an overview of recent activity and future plans across the JupyterHub project. Get a tour of what's new, what's cool, and what's coming. ## outline > This is a self-contained statement that summarizes the objective of the proposal, its outline, central thesis, and key takeaways. After reading the description, the audience should have an idea of the overall presentation and what they will learn. The description should also make clear what background knowledge is expected from the attendees. Include links to relevant source code, articles, videos, or other information that add context to your proposal. > Do you have computers somewhere? Do you know some humans? Would you like to help those humans use your computers? JupyterHub is a tool for helping connnect humans with computers, focused on the Jupyter community. Use cases range from making it easier to access an existing shared workstation remotely, to online workshops, to courses with thousands of students, to supercomputing clusters, to the underlying infrastructure technology powering mybinder.org. JupyterHub is *not* a GitHub-scale interactive collaboration platform. Take a tour of JupyterHub, what it is and what it does, and whether it's right for you. and recent exciting developments, as well as a peek at what to expect from the JupyterHub projects in the near future. Topics will include: - What is JupyterHub? And what *isn't* JupyterHub? - How can I get JupyterHub and what distribution is right for me? Kubernetes? The littlest JupyterHub? Cloud? Local machine? - The cloud is the limit: limits of JupyterHub and when *not* to use it - Highlights of JupyterHub updates from 2020 - Checking in with zero-to-jupyterhub on Kubernetes, increasingly the primary way to deploy JupyterHub. - The Littlest JupyterHub—a new lightweight - New feature plans on the horizon for 2021 - Links and references to other JupyterHub-related presentations at JupyterCon From this talk, you will have a sense of what scope is appropriate for JupyterHub, where and when it might be useful to you, and what is the best place to get started with JupyterHub for your particular needs. Expected knowledge: Familiarity with Jupyter is assumed. We will start with a brief introduction to the what and why of JupyterHub to get everyone on the same page. Technologies such as Kubernetes and Docker will be referenced, but if you aren't familiar with them, that's okay. The amount of content about subprojects such as the littlest JupyterHub will depend on whether other presentations dedicated to those topics are accepted. ### Past experiences, reviewer notes JupyterHub tutorial, JupyterCon 2018 https://learning.oreilly.com/library/view/jupytercon-new-york/9781492025818/video322481.html JupyterHub: A Roadmap of Recent Developments and Future Directions, JupyterCon 2017; https://pyvideo.org/jupytercon-2017/jupyterhub-a-roadmap-of-recent-developments-and-future-directions.html JupyterHub: deploying Jupyter notebooks for students and researchers, PyData London 2016; https://www.youtube.com/watch?v=gSVvxOchT8Y, https://github.com/minrk/jupyterhub-pydata-2016 This is an overview of JupyterHub, and will include some references to other projects in JupyterHub that have their own presentation proposals. If those presentations are accepted, sections of this presentation will be shortened as appropriate and replaced with references to those presentations