Python Testing with pytest

Simple, Rapid, Effective, and Scalable

Nonfiction, Computers, Programming, Software Development, Programming Languages
Cover of the book Python Testing with pytest by Brian Okken, Pragmatic Bookshelf
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Brian Okken ISBN: 9781680504408
Publisher: Pragmatic Bookshelf Publication: September 15, 2017
Imprint: Pragmatic Bookshelf Language: English
Author: Brian Okken
ISBN: 9781680504408
Publisher: Pragmatic Bookshelf
Publication: September 15, 2017
Imprint: Pragmatic Bookshelf
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Pragmatic Bookshelf

Cover of the book Complex Network Analysis in Python by Brian Okken
Cover of the book Pragmatic Scala by Brian Okken
Cover of the book Practical Programming by Brian Okken
Cover of the book Programming Phoenix by Brian Okken
Cover of the book Mazes for Programmers by Brian Okken
Cover of the book The Healthy Programmer by Brian Okken
Cover of the book Clojure Applied by Brian Okken
Cover of the book Practices of an Agile Developer by Brian Okken
Cover of the book Designed for Use by Brian Okken
Cover of the book Lean from the Trenches by Brian Okken
Cover of the book Arduino: A Quick-Start Guide by Brian Okken
Cover of the book Take My Money by Brian Okken
Cover of the book The Cucumber Book by Brian Okken
Cover of the book Core Data in Swift by Brian Okken
Cover of the book The Way of the Web Tester by Brian Okken
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy