02827cam a22002535i 4500 GSU 20260618110117.0 230210s2021 ncu 000 0 eng 9781680508604 DLC eng rda DLC GSU QA76.73.P98 OKK Okken, Brian, author. Python testing with pytest : simple, rapid, effective and scalable / Brian Okken. Second edition. Raleigh, North Carolina : The Pragmatic Bookshelf, ©2021. xviii, 248 pages ; 24cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier The Pragmatic Programmers. Includes index 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. lcc BK Second edition QA76.73.P98 QA OKK 0 2782 2782 0 0 lcc 0 0 GC GSULE GSULE GEN 2026-06-17 B A I 05757 0 QA76.73.P98 OKK 50000006947 2026-06-17 21:33:00 1 2026-06-17 BK