Python Test Coverage with coverage.py

Writing tests is only half the battle; knowing which parts of your codebase actually run during those tests is crucial for maintaining software quality. This text-based course guides you through the foundational concepts of test coverage, helping you identify untested paths and hidden bugs before they reach production. You will start with core testing terminology and the basic mechanics of measuring execution before diving into practical configuration. By the end of this course, you will be able to confidently integrate coverage analysis into your local development workflow and modern testing suites. What you will learn: Understand the difference between statement coverage and branch coverage; Configure coverage.py using configuration files like pyproject.toml; Control which files are analyzed using source selection, inclusion, and exclusion rules; Generate and interpret detailed text and interactive HTML coverage reports; Exclude specific code blocks, such as debugging statements, from coverage metrics; Integrate coverage measurements with modern testing frameworks like pytest. This course progresses from fundamental definitions and simple command-line execution to advanced configuration setups and report generation. It is designed specifically for beginners to intermediate Python developers who want to improve their testing practices, with no prior coverage analysis experience required. Start reading today to write more reliable, thoroughly tested Python code.