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