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Python Testing with pytest (Simple, Rapid, Effective, and Scalable)

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9781680508604
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  • Product Details

    Author:
    Brian Okken
    Format:
    Paperback
    Pages:
    274
    Publisher:
    The Pragmatic Programmers (March 29, 2022)
    Language:
    English
    ISBN-13:
    9781680508604
    ISBN-10:
    1680508601
    Dimensions:
    7.5" x 9.25"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20250917125826-20250919.xml
    Folder:
    TWO RIVERS
    List Price:
    $45.95
    Case Pack:
    14
    As low as:
    $43.65
    Publisher Identifier:
    P-PER
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    35
    Weight:
    16.8oz
    Imprint:
    Pragmatic Bookshelf
  • Overview

    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.