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    pytest Quick Start Guide: Write better Python code with simple and maintainable tests

    Posted By: Free butterfly
    pytest Quick Start Guide: Write better Python code with simple and maintainable tests

    pytest Quick Start Guide: Write better Python code with simple and maintainable tests by Bruno Oliveira
    English | August 29, 2018 | ISBN: 1789347564 | 160 pages | MOBI | 0.54 Mb

    Learn the pytest way to write simple tests which can also be used to write complex tests

    Key Features
    Become proficient with pytest from day one by solving real-world testing problems
    Use pytest to write tests more efficiently
    Scale from simple to complex and functional testing
    Book Description
    Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python.

    In this book, you will learn how to get started right away and get the most out of pytest in your daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.

    What you will learn
    Write and run simple and complex tests
    Organize tests in fles and directories
    Find out how to be more productive on the command line
    Markers and how to skip, xfail and parametrize tests
    Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch
    Convert unittest suites to pytest using little-known techniques
    Use third-party plugins
    Who this book is for
    This book is for Python programmers that want to learn more about testing. This book is also for QA testers, and those who already benefit from programming with tests daily but want to improve their existing testing tools.

    Table of Contents
    Introducing pytest
    Writing and running tests
    Markers and parametrization
    Fixtures
    Plugins
    Converting unittest suites to pytest
    Wrappin up

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