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📅 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.

→ Get the Book

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☕️ Weekly Finds

AutoViz [Data Viz] – Automatically Visualize any dataset, any size with a single line of code

cognee [LLM] – Memory for AI Agents in 6 lines of code

niquests [Python Utils] – Simple, yet elegant, Python HTTP library: a drop-in replacement for python-requests

Looking for a specific tool? Explore 70+ Python tools →

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