Python Testing with pytest Marks and Test Selection

Managing a growing test suite in Python can quickly become overwhelming without the right organization tools. Using pytest mark decorators allows you to categorize, filter, and control how your tests execute with minimal effort. This text-based course guides you from Python testing basics to advanced test selection strategies. You will learn how to group tests, skip platform-specific suites, run data-driven tests, and integrate modern Python practices like type hints and virtual environments. What you'll learn: - Understand foundational testing concepts, test discovery, and basic pytest syntax. - Categorize and label tests using custom marks to build flexible execution suites. - Control test execution by skipping or expecting failures under specific conditions. - Parametrize test cases to run multiple data inputs through a single test function. - Filter and execute targeted subsets of tests using command-line flags. - Apply modern Python standards including type hints and clean project structures. You will start with core testing definitions and pytest configuration basics before moving into written, step-by-step guides on marking techniques, custom metadata, and advanced test selection. This course is designed for Python developers and QA engineers who are new to pytest or want to organize their testing workflows. No advanced testing experience is required. Start reading today to write cleaner, more manageable Python test suites.