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Paperback. Zustand: 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.…

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Paperback. Zustand: Very 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.…

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Paperback. Zustand: 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.…

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Taschenbuch. Zustand: Neu. Neuware - TDD should speed up development, not slow it down. However, some interpretations add too much wasted effort. After all, we're trying to get a project done quickly, with good quality. Lean TDD is a practice of TDD that extends TDD by bridging the developer workflow with the overall quality tests for a system, the acceptance tests, all while keeping waste low. Lean TDD is built by taking valuable practices from many versions of TDD, and removing all of the wasteful practices. Lean TDD encourages teams to think about quality during the entire development process, which results in lower stress and returning fun to software development. The concepts in Lean TDD apply to all software development. Whether you are new to coding or an experienced developer, on a team or a solo developer, whether the development does all testing, or shares the role with test engineers. Lean TDD is especially important if using AI for development, whether you using AI coding agents to help with production code, test code, or both.What's inside: - A clear-eyed look at how TDD has been taught - and where it went off the rails- Lean thinking applied to developing software while driving with tests- A practical, step-by-step approach to TDD built around acceptance criteria and behavior-focused tests- The testing trophy - a better model than the testing pyramid for deciding what to test and how- How to apply Lean TDD with AI coding agents, solo or on a team- Lots of background and history around the various TDD offshots.This book is for you if: - You've tried TDD and found it slow or frustrating- You write tests but aren't sure you're testing the right things- You're working with AI agents and want a testing strategy that holds up- You've never tried TDD and want to start with a pragmatic approach- You're a team lead trying to get your team to actually write testsThe author has been a working software engineer since 1996 and has been practicing TDD for over two decades. This isn't theory from a textbook. It's a distillation of what actually works in real codebases, shipped to real users.This is a short book. It's meant to change how you work, not sit on a shelf.…

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Zustand: New. 2022. 2nd ed. Paperback. . . . . . Books ship from the US and Ireland.

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Taschenbuch. Zustand: 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.…

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Zustand: 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.
Weitere Bilder- Softcover
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Taschenbuch. Zustand: 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. …