Adding interactivity by extending Jupyter Notebook
summary
Shows how to build a tiny custom Jupyter kernel that runs HTTP calls using requests, registers via the kernel JSON, and subclasses IPython helpers so code, HTTP kernel, returns are streamed as streaming outputs and rendered with multiple MIME types. Demonstrates adding simple URL completions, using magics, and points to meta-kernel to reuse features. Also prototypes Ansible integration that partially works but stalls on hooking back execution callbacks and on notebook statefulness without VM/container snapshots.
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chapters (8)
- 0:00Intro
- 1:25Jupyter Notebook
- 3:30Kernels
- 7:30Simpler
- 9:20Simple function
- 14:40Improvements
- 17:20Unstable
- 22:40Statefulness
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