Portable Research and Learning Environments with Jupyter

Part 1 of a day-long tutorial on deploying the open-source scientific stack for education, research, and data analytics using JupyterHub. This part focuses on The Littlest JupyterHub, a single-VM deployment of JupyterHub that is great for <100 users.

Transcript

3. PEARC 2018 Portable Research and Learning Environments with Jupyter
5. • Overview of JupyterHub ecosystem and related tools • Get set up with GCP & Jetstream • Deploy your own: ◦ Littlest JupyterHub ◦ JupyterHub with Kubernetes ◦ BinderHub • Discuss how BinderHub can be used to share and promote open science
7. “An article about computational science in a scientific publication is not the scholarship itself, it is merely advertising of the scholarship. The actual scholarship is the complete software development environment and the complete set of instructions which generated the figures.” -Buckheit and Donoho
8. Analysis + Visualization Interaction + Authoring Sharing + Discovery Bundling + Reproducing
14. docker run -it -p 9999:8888 jupyter/base-notebook
15. JupyterHub
16. • Flexibly connects users to a computational environment you provide. • Removes accidental complexity around accessing computational resources.
17. FOR PEDAGOGY: asking users to set up their own computational environments can be a huge PITA. FOR RESEARCH: Jupyter provides a familiar, powerful interface that can be connected with powerful computational resources.
18. 192.241.137.116 192.241.137.116/hub/user-redirect/git-pull?re po=https://github.com/binder-examples/require ments&branch=master&subPath=index.ipynb
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20. CODING ENVIRONMENT AUTHENTICATION
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24. • • • • tljh.jupyter.org
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35. You can also change the type and size of your disk at the bottom of this popup.
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39. • • • • • z2jh.jupyter.org
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