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Implement logging in Python test automation with real project examples
Updated on Sep, 2026
IT and Software , Other IT and Software, Python
Training 5 or more people ?
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I’ve been working as an SDET for around 8 years now, mostly on Python-based automation projects. One thing I’ve learned proper logging matters way more than most people think. It's not just about printing stuff to the console. Good logs help you track down flaky test issues, understand what exactly failed, and save a ton of time during debugging.
In this course, I’m showing how to set up structured logging in Python test frameworks using Pytest. The goal is to share what actually worked for me in real projects, practical things, not theory. We’ll go through the basics, then step-by-step improve the logging setup to make it more useful, reusable and clean.
You’ll also get a downloadable Pytest-based project, ready to run locally. I included all the configs, logging modules, and even the PDF I usually prepare when building logging into real test frameworks.
The course is mostly for junior and middle SDETs who already use Python for test automation, and now want to improve their framework quality. I’ve made a lot of mistakes along the way, and here I’m trying to give you a shortcut based on that experience.
By the end of the course, you’ll be able to apply structured logging in your own test projects and get better visibility and control over how your tests behave.
Check out the detailed breakdown of what’s inside the course
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