The pytest tool presents a rapid and simple way to write tests for your code. Not only is it a much more powerful replacement for Python's built-in "unittest" test framework, it's also very suitable as a base for custom test systems: It's used to test IoT-fridges, washing machines, car components or even audio codecs. This talk gives an introduction to some of pytest's distinguishing features, such as: - Automatic test discovery, no-boilerplate test code - Useful information when a test fails - Marking and skipping tests - Data-driven tests via parametrization - Modular setup/teardown via fixtures - Useful built-in fixtures - Customizability via many config options and hundreds of plugins