Test Coverage
Last Updated: December 6, 2025
6 min read
Exploring test coverage is like shining a light into the dark corners of your codebase. It helps us understand what parts of our code are being tested and, more importantly, what parts are not.
By measuring test coverage, we can identify gaps in our testing strategy and ensure that we're not leaving any critical functionality untested.
In this chapter, we’ll dive deep into the world of test coverage in Python, exploring different types of coverage, tools for measuring coverage, and strategies for improving it.
Let's get started!