I finally published a practical guide to GitHub Actions for Python projects.
GitHub Actions is easy to demonstrate with a simple YAML file.
The harder part is designing a workflow that actually helps a real project.
So I built this capsule around the practical side of CI/CD:
• Setting up Python environments in GitHub Actions
• Managing project dependencies
• Running automated tests with pytest
• Generating test coverage reports
• Building project documentation
• Generating and preserving workflow artifacts
• Organizing workflow steps
• Understanding the execution order of CI jobs
• Building reusable patterns for Python projects
The goal wasn't to write another long DevOps book.
I wanted something closer to a technical micro-book: one focused topic, practical examples, and enough explanation to understand why each part of the workflow exists.
If you're working on a Python project and still run tests, build documentation, or generate artifacts manually, this is the problem this capsule is trying to solve.
📘 GitHub Actions for Python Projects
A Practical Guide to CI/CD Automation
Available on Leanpub:
[Leanpub link]
The source/project materials are also available on GitHub:
https://github.com/adawy20262026-oss/ahmed-adawy-tech-capsules
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