Python Testing Pytest Simple by Okken Brian (30 results)

- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Paperback. Condition: Good. 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.…

- Softcover
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- Softcover
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- Softcover
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Paperback. Condition: Good. 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.…

- Softcover
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- Softcover
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- Softcover
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Paperback. Condition: Used; Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.…

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- Softcover
- First Edition
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Soft cover. Condition: Very Good. No Jacket. 1st Edition. 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.…

- Softcover
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- Softcover
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Paperback or Softback. Condition: New. Python Testing with Pytest: Simple, Rapid, Effective, and Scalable. Book.

- Softcover
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- Softcover
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- Softcover
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- Softcover
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- Softcover
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Condition: New. 2022. 2nd ed. Paperback. . . . . .

- Softcover
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- Softcover
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Paperback. Condition: Brand New. 2nd edition. 250 pages. 9.25x7.50x0.58 inches. In Stock.

- Softcover
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Taschenbuch. Condition: Neu. Neuware - 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.…

- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. In this fully revised edition, explore pytest s superpowers 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.
More images- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Python Testing with Pytest | Simple, Rapid, Effective, and Scalable | Brian Okken | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Pragmatic Programmers | EAN 9781680508604 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

- Softcover
- Print on Demand
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Paperback. Condition: Brand New. 2nd edition. 250 pages. 9.25x7.50x0.58 inches. In Stock. This item is printed on demand.