# #470 A Jolting Episode

Page: https://stenobird.com/podcast/python-bytes/470-a-jolting-episode
Text version: https://stenobird.com/podcast/python-bytes/470-a-jolting-episode.md
Podcast: [Python Bytes](https://stenobird.com/podcast/python-bytes)
Published: 2026-02-23T08:00:00+00:00
Episode link: https://pythonbytes.fm/episodes/show/470/a-jolting-episode
Audio file: https://pythonbytes.fm/episodes/download/470/a-jolting-episode.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/python-bytes/episodes/470-a-jolting-episode
Duration seconds: 1529

## Resource

Explore new developer tools for streamlining Python testing, Markdown formatting, and local GitHub Actions execution. The episode also covers hardware monitoring and a brief discussion on the impact of short-form media on attention spans.

## Highlights
- Main idea: Use inline-snapshot testing to simplify the maintenance of complex test data structures
- Practical takeaway: Use 'Act' to run your GitHub Actions workflows locally to save time and CI costs
- Practical takeaway: Leverage Ruff's new capabilities to format Markdown files and type stub files
- Tool highlight: 'Jolt' provides real-time battery health and power monitoring directly in your terminal
- Failure mode: Relying on external snapshot files can lead to synchronization issues compared to inline alternatives

## Topics

Python, Software Testing, GitHub Actions, Ruff, Developer Tools, Automation, Linux, macOS

## Chapters
- 2:45 — Inline Snapshot Testing: A look at how Pydantic uses inline snapshots to manage complex test data without external file clutter.
- 6:50 — Terminal-based Battery Monitoring: An introduction to Jolt, a tool for real-time power and battery health tracking on macOS and Linux.
- 10:25 — Markdown Formatting with Ruff: Discussing Ruff's ability to lint and format Markdown and .pyi files.
- 14:10 — Running GitHub Actions Locally: Using the 'Act' tool to execute GitHub Actions workflows on your local machine to avoid CI wait times.
- 19:35 — Python Concurrency Trends: A brief look at the future of free-threaded Python and the implications for locking and race conditions.
- 23:35 — Attention Spans and Technology: A tangent on the cognitive effects of short-form video content and modern digital consumption.

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## Transcript

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