Python Testing with pytest: Simple, Rapid, Effective, and Scalable

Okken, Brian

ISBN 10: 1680508601 / ISBN 13: 9781680508604

Edité par Pragmatic Bookshelf, 2022

A propos de cet article

Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Détails bibliographiques

• Titre: Python Testing with pytest: Simple, Rapid, Effective, and Scalable
• Éditeur: Pragmatic Bookshelf
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 1680508601
• ISBN à 13 chiffres: 9781680508604
• Reliure: Couverture souple
• Édition: 2ème Édition
• État de l'article: Very Good
• Poids: 480 grammes

A propos de ce titre

Synopsis

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.

À propos de l?auteur

Brian Okken is the host of the Test & Code podcast, and co-host of the Python Bytes podcast. He's also a lead software engineer.