Streamlining Testing in a Large Python Codebase — Jimmy Lai
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Explore strategies for optimizing testing in large Python codebases in this 31-minute conference talk from EuroPython 2024. Learn how to overcome challenges like increasing test suite execution time, slow test coverage reporting, and delayed test startup using innovative open-source tools. Discover techniques for implementing parallel test execution with pytest-xdist, optimizing test startup through Docker and Kubernetes, and efficiently reporting test coverage by customizing tools. Gain insights into how these solutions can significantly improve testing efficiency, maintain code quality, and enhance developer productivity as your codebase and team expand.