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In this video tutorial we walk through the steps to launch JupyterHub on Kubernetes, Google Cloud. I then show how a research lab can use JupyterHub to stay connected with each other. I start the tutorial from the very beginning, and assume no knowledge of the google cloud platform. • Video Sections (hot links): • What is Jupyter? - 0:08 • Google Cloud Kubernetes - 3:06 • Launch JupyterHub - 8:14 • io Online - 11:07 • JupyterHub Review - 18:11 • • We then follow these steps to create JupyterHub: • 1. Create a Google Cloud Account • 2. Enable Google’s Container Registry (used for launching Docker container) • 3. Create a Node Cluster in Google’s Kubernetes • 4. Describe of Github • 5. Download Github code from pupster90 for deploying JupyterHub • 6. Access the Cloud Terminal for Deploy JupyterHub • 7. Install io on JupyterHub • 8. Write python inside of a Jupyter Notebook • 9. Set Up your Lab in JupyterHub • 10. Share your notebook with the entire lab • 11. Explain how Jupyter can be made more Secure using the Whitelist/Oauth • 12. And end with Pro/Cons of using JupyterHub • I also give a brief overview of nbgrader, a wonderful software for teaching classes in JupyterHub! • What's Jupyter? • Description from: Min Ragan Kelley Thomas Kluyver • The Jupyter Notebook is an interactive web-based tool for interactive programming and writing code-centric documents. Being a web-based environment, the notebook server can be run remotely, not just on your local machine. JupyterHub is a multi-user server, aimed at helping research groups and instructors host notebook servers for their users or students. • • JupyterHub: Deploying Jupyter Noteboo...

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