Jupyter Notebooks for Ops
summary
Shows how Jupyter Notebooks become runnable ops tooling: live Python via the IPython kernel, data pulls with requests + pandas and charts with matplotlib, notebooks installed with pip install or conda, and advice to use virtualenvs. Demonstrates multiuser hosting with JupyterHub on Kubernetes and the littlest hub for small deployments. Notes JupyterLab as the IDE successor, a slides workflow via RISE (reveal.js), a Netflix PolyNote mention, and some security and connectivity issues encountered when serving notebooks.
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chapters (14)
- 0:00Introduction
- 11:59Jupyter Hub
- 12:49Jupyter Lab
- 13:29Azure notebooks
- 14:09Polynote
- 14:49Notebook Overview
- 16:44Running a Notebook
- 17:14Shortcuts
- 17:49Notebook Server
- 18:14References
- 19:04Questions
- 19:19IronPython
- 20:14Jupiter
- 22:09Security
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