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Python Testing with pytest: Simple, Rapid, Effective, and Scalable
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Python Testing with pytest: Simple, Rapid, Effective, and Scalable
Write simple, maintainable tests quickly with pytest.
Python Testing with pytest: Simple, Rapid, Effective, and Scalable
Artigo n.º: 69293975

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

85% of respondents would recommend this to a friend

Artigo n.º: 69293975

STD 1048845

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O que se Destaca

Comprehensive Guide
This book offers a detailed exploration of Python testing with approachable language, making complex concepts easy to grasp for both beginners and experienced developers alike.
Pitest Integration
Learn to utilize Pitest 7 effectively, enhancing your testing framework for Python, allowing for more efficient test coverage and streamlined debugging processes.
Practical Examples
Includes hands-on examples that guide readers through real-world testing scenarios, ensuring that they can apply learned techniques directly to their projects.

Detalhes do produto

Get the updated 2nd edition of Python Testing with pytest. Enhance your testing skills and techniques. Shop now at Ubuy São Tomé and Príncipe for a simple, rapid, and effective testing experience.
  • Test applications, packages, and libraries large and small with pytest
  • pytest helps you write tests quickly and keep them readable and maintainable
  • Explore pytest's superpowers - simple asserts, fixtures, parametrization, markers, and plugins
  • Learn to write small tests with pytest and scale up to complex functional testing
  • pytest is a full-featured, flexible, and extensible testing framework
  • Speed up test times, use Python's built-in assert statements, and separate setup failures from test failures
Publisher Pragmatic Bookshelf
Publication date March 29, 2022
Edition 2nd
Language English
Print length 274 pages
ISBN-10 1680508601
ISBN-13 978-1680508604
Item Weight 1.1 pounds (500 grams)
Dimensions 7.5 x 0.58 x 9.25 inches (19.1 x 1.5 x 23.5 cm)

Quem Deverá Comprar?

Suitable For
  • Aspiring Developers

    Ideal for beginners looking to enhance their Python skills through practical exercises and tests provided in the book.

  • Test Engineers

    Beneficial for professionals focusing on Python testing frameworks, as it emphasizes Pitest 7's functionalities thoroughly.

  • Students Learning Python

    Perfect resource for academic learners wanting structured examples and tests to practice their Python programming knowledge.

Not Suitable For
  • Advanced Programmers

    Experienced Python developers might find the content basic and lacking in advanced topics or intricate testing techniques.

DESCRIÇÃO DO PRODUTO

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

Tem alguma Dúvida? Converse connosco

Perguntas e respostas do cliente

  • Pergunta: What is the main focus of Python Testing with pytest: Simple, Rapid, Effective, and Scalable 2nd Edition?

    Resposta: The primary focus of this book is to empower developers with the skills to conduct effective testing using the pytest framework. It covers a range of testing strategies and best practices, illustrating how to write simple yet powerful tests. Readers will learn how to scale their testing efforts while maintaining efficiency and readability, making it ideal for both newcomers and experienced developers looking to refine their testing techniques.
  • Pergunta: Who is the target audience for this book?

    Resposta: The book is primarily aimed at Python developers, software testers, and quality assurance professionals who are looking to enhance their testing methodologies using pytest. It serves as an invaluable resource for those who are new to testing or who seek to transition from other testing frameworks. Additionally, educators and students in software engineering may benefit from its comprehensive approach to practical testing concepts.
  • Pergunta: What are the key features of pytest that are covered in the book?

    Resposta: The book delves into various robust features of pytest such as fixtures, parameterized testing, and powerful assertions. It explains how these features simplify complex scenarios while improving the scalability of test suites. Readers can expect practical examples that illustrate how to implement each feature effectively, which equips them to tackle a wide range of testing scenarios in their own projects.
  • Pergunta: How can pytest help in improving testing efficiency?

    Resposta: pytest is designed to make testing more efficient through its rich ecosystem of plugins and easy configuration options. The book emphasizes how pytest eliminates boilerplate code, thereby enabling developers to write less but more maintainable tests. Readers will discover how to leverage pytest’s capabilities to streamline their testing processes and reduce the overall time spent on test development.
  • Pergunta: Are there any practical examples provided in the book?

    Resposta: Yes, the book is filled with practical examples that illustrate the application of pytest in real-world scenarios. These examples help to clarify concepts and demonstrate how to write tests that are both effective and scalable. By following the examples, readers will gain hands-on experience, making it easier to apply the techniques learned to their own projects.
  • Pergunta: Can this book help in transitioning from other testing frameworks?

    Resposta: Absolutely! The book serves as a bridge for those familiar with other testing frameworks as it clarifies the unique features of pytest and provides comparison points. It introduces common testing concepts in a way that highlights how they are implemented in pytest, making it easier for readers to adapt their current knowledge and practices to the pytest framework.
  • Pergunta: What coding standards does the book emphasize when writing tests?

    Resposta: The book emphasizes writing clean, readable, and maintainable test code. It advocates for best practices such as following Python’s PEP 8 guidelines, using descriptive naming conventions, and structuring tests in a logical way. By adhering to these standards, developers can ensure that their test code is easy to understand, which fosters collaboration and simplifies future testing efforts.
  • Pergunta: Is the book suitable for beginners in Python testing?

    Resposta: Yes, the book is well-suited for beginners as it starts with foundational concepts of testing and gradually introduces pytest’s advanced features. Each chapter builds on the previous ones, allowing novice testers to gain confidence in their skills. By following along, new testers will develop a comprehensive understanding of testing practices applicable in diverse environments.
  • Pergunta: What mindset does the book encourage regarding software testing?

    Resposta: The book encourages a proactive mindset towards software testing, championing it as a crucial component of the development process rather than a final step. This perspective fosters a culture of quality assurance, motivating developers to integrate testing into their workflows seamlessly. The book promotes the idea that effective testing not only improves software quality but also enhances developer productivity.
  • Pergunta: Where can I buy Python Testing with pytest: Simple, Rapid, Effective, and Scalable 2nd Edition?

    Resposta: You can buy Python Testing with pytest: Simple, Rapid, Effective, and Scalable 2nd Edition from Ubuy in São Tomé and Príncipe. Ubuy is a reliable online platform that offers a wide range of books, making it easier for you to access this valuable resource and enhance your Python testing skills.

Testing Editorial Review

The Python Testing with pytest book is a good resource for learning and using pytest, with nicely paced content and extensive coverage of testing-related topics. Some readers found it especially helpful for writing unit tests with pytest-mock, while others wished it covered certain topics in more detail, such as logging with caplog. Overall, the book is thorough and useful for those looking to improve their testing skills and proficiency with pytest.

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Prós

  • Nicely paced content
  • Extensive coverage of pytest and testing-related topics
  • Good resource for writing unit tests with pytest-mock
  • Helpful exercises at the end of chapters
  • Quick and easy to find relevant sections and examples

Contras

  • Some readers felt the book lacked detail on certain topics

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Recursos e benefícios

  • Test applications, packages, and libraries with pytest
  • pytest comes with features like assert rewriting, parametrization, markers, plugins, parallel test execution
  • pytest's fixture model allows sharing of test data and setup procedures
  • Move setup code out of tests and into fixtures to separate setup failures from test failures
  • Extend pytest with plugins, connect it to continuous integration systems
  • Written using Python 3.10 and pytest 7 that supports Python 3.5 and above

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