Drive Rapid PowerShell Adoption Using Jupyter Notebooks
summary
Claims that a new hire becomes productive the first day with only credentials and a preauthored notebook backed by JupyterHub on Fargate. Shows concrete tooling: PowerShell kernel via .NET Interactive in VS Code or browser, remote kernels, containerized runtimes, and a former cloudformation export of the infra. Demonstrates a working flow that reads a mailbox via the Graph API to Teams post, exports CSV to pandas, renders a Power BI visualization (requires refresh), and runs AI‑generated PowerShell (FizzBuzz) — most demos run in real time.
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chapters (10)
- 0:00Rapid PowerShell adoption
- 10:34Jupyter Notebooks with VS Code
- 13:09Pre-authored notebook for new hires
- 22:27Automate reports with Graph API
- 26:44Advanced use cases and visualizations
- 27:46Jupyter Hub for enterprise
- 33:31Run notebooks in browser
- 36:58Remote kernels and containers
- 39:55Power BI integration
- 43:23Summary
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