Test applications packages and libraries large and small with pytest Python's most powerful
testing framework. pytest helps you write tests quickly and keep them readable and
maintainable. In this fully revised edition explore pytest's superpowers - simple asserts
fixtures parametrization markers and plugins - while creating simple tests and test suites
against a small database application. Using a robust yet simple fixture model it's just as
easy to write small tests with pytest as it is to scale up to complex functional testing. This
book shows you how. pytest is undeniably the best choice for testing Python projects. It's a
full-featured flexible and extensible testing framework. pytest's fixture model allows you to
share test data and setup procedures across multiple layers of tests. The pytest framework
gives you powerful features such as assert rewriting parametrization markers plugins
parallel test execution and clear test failure reporting - with no boilerplate code. With
simple step-by-step instructions and sample code this book gets you up to speed quickly on
this easy-to-learn yet powerful tool. Write short maintainable tests that elegantly express
what you're testing. Speed up test times by distributing tests across multiple processors and
running tests in parallel. Use Python's builtin assert statements instead of awkward assert
helper functions to make your tests more readable. Move setup code out of tests and into
fixtures to separate setup failures from test failures. Test error conditions and corner cases
with expected exception testing and use one test to run many test cases with parameterized
testing. Extend pytest with plugins connect it to continuous integration systems and use it
in tandem with tox mock coverage and even existing unittest tests. Write simple
maintainable tests quickly with pytest. What You Need: The examples in this book were written
using Python 3.10 and pytest 7. pytest 7 supports Python 3.5 and above.
