Streamlining Testing in a Large Python Codebase
Offered By: EuroPython Conference via YouTube
Course Description
Overview
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.
Syllabus
Streamlining Testing in a Large Python Codebase — Jimmy Lai
Taught by
EuroPython Conference
Related Courses
Introduction to Cloud Infrastructure TechnologiesLinux Foundation via edX Scalable Microservices with Kubernetes
Google via Udacity Google Cloud Fundamentals: Core Infrastructure
Google via Coursera Introduction to Kubernetes
Linux Foundation via edX Fundamentals of Containers, Kubernetes, and Red Hat OpenShift
Red Hat via edX