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

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

Sách keo gáy, bìa mềm
 
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 were written using Python 3.10 and pytest 7. pytest 7 supports Python 3.5+
 
Categories:Computers - Programming
 
Content Type:Books
 
Year:2022
 
Edition:2nd / P1.0
 
Language:english
 
Pages:264
 

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