| 📅 Today’s Picks |
Build Faster Test Workflows with pytest Markers
Problem:
Large projects often contain hundreds of tests, and executing them all for every minor change quickly becomes inefficient.
Solution:
Pytest markers let you group tests by type, speed, or resource usage so you can run only what matters for your current task.
Quick guide to pytest markers:
- Define markers in pytest.ini
- Tag tests, for example: @pytest.mark.fast
- Run specific tests: pytest -m fast
- Skip certain tests: pytest -m “not slow”
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| 📢 ANNOUNCEMENTS |
Production-Ready Data Science Is Now on Leanpub
I am excited to share that Production-Ready Data Science is now live on Leanpub!
On Leanpub, you can choose your price and get updates as more examples and chapters roll out.
This book dives into the real engineering skills behind dependable data systems, including:
- Testing
- CI and CD
- Environments and packaging
- Data validation and logging
- Reproducible workflows
If you want to take your data work beyond notebooks and into reliable production environments, this is for you.
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| ☕️ Weekly Finds |
