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

Okken, Brian

ISBN 10: 1680502409 / ISBN 13: 9781680502404

Edité par Pragmatic Bookshelf, 2017

A propos de cet article

In a white soft cover with black titles to spine and front and a colour illustration to front. No dust jacket. 216 pp. The book is in very good condition. There is minor shelf-wear to the extremities of the cover which are also lightly tanned. There is minor bruising of the corners of the book. Otherwise the pages are clean and unmarked.

N° de réf. du vendeur 912113

Détails bibliographiques

• Titre: Python Testing with pytest: Simple, Rapid, Effective, and Scalable
• Éditeur: Pragmatic Bookshelf
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 1680502409
• ISBN à 13 chiffres: 9781680502404
• Reliure: Soft cover
• Édition: 1st Edition
• État de l'article: Very Good
• État de la jaquette: No Jacket

A propos de ce titre

Synopsis

Do less work when testing your Python code, but be just as expressive, just as elegant, and just as readable. The pytest testing framework helps you write tests quickly and keep them readable and maintainable - with no boilerplate code. 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 for applications, packages, and libraries. This book shows you how. For Python-based projects, pytest is the undeniable choice to test your code if you're looking for a full-featured, API-independent, flexible, and extensible testing framework. With a full-bodied fixture model that is unmatched in any other tool, the pytest framework gives you powerful features such as assert rewriting and plug-in capability - 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 and robust tool. Write short, maintainable tests that elegantly express what you're testing. Add powerful testing features and still speed up test times by distributing tests across multiple processors and running tests in parallel. Use the built-in assert statements to reduce false test failures by separating setup and 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, unittest, and doctest. Write simple, maintainable tests that elegantly express what you're testing and why. What You Need: The examples in this book are written using Python 3.6 and pytest 3.0. However, pytest 3.0 supports Python 2.6, 2.7, and Python 3.3-3.6.

À propos de l?auteur

Brian Okken is a lead software engineer with two decades of R&D experience developing test and measurement instruments. He hosts the Test & Code podcast and co-hosts the Python Bytes podcast.