Python Test-Driven Development (Paperback)

Pythquill Publishing

ISBN 13: 9798288758980

Verlag: Independently Published, 2025

Beschreibung

Paperback. What You Will Learn in This BookEstablish a robust testing foundation by understanding the importance of software testing, the testing pyramid (Unit, Integration, E2E), and core terminology.Set up your Python testing environment and choose the right framework for your projects, with a practical comparison of unittest and pytest.Master pytest for effective unit testing, including writing clear test functions, utilizing powerful fixtures, parametrizing tests for efficiency, and managing test execution with markers.Isolate your code for precise unit tests using mocking and patching techniques with unittest.mock and the pytest-mock library, ensuring your tests focus only on the code under examination.Confidently test diverse Python code structures, from functions and classes to decorators, context managers, generators, and command-line interfaces.Implement comprehensive integration testing strategies to verify interactions between components, including databases and APIs, learning to manage complex setups and external dependencies.Develop and maintain resilient end-to-end (E2E) tests that simulate real user flows, utilizing tools like Selenium and Playwright, and applying design patterns like the Page Object Model.Integrate Test-Driven Development (TDD) into your workflow using the Red-Green-Refactor cycle, and apply Behavior-Driven Development (BDD) principles with tools like behave and pytest-bdd.Discover property-based testing with Hypothesis to automatically generate diverse test cases, uncover edge cases, and enhance the robustness of your algorithms and data structures.Assess and improve your test quality using code coverage tools (pytest-cov) and understand the benefits of mutation testing for truly effective test suites.Automate your testing within Continuous Integration (CI) pipelines using platforms like GitHub Actions, ensuring consistent and rapid feedback on code changes.Tackle specialized testing scenarios, including asynchronous Python code with asyncio, data science and machine learning applications, and complex microservices architectures.Cultivate a strong testing culture within your development lifecycle, understanding the role of testing in Agile and DevOps, and effectively debugging and learning from test failures.Stay ahead with emerging trends in the evolving Python testing ecosystem, including the impact of AI and machine learning on test automation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Bestandsnummer des Verkäufers 9798288758980

Bibliografische Details

• Titel: Python Test-Driven Development (Paperback)
• Verlag: Independently Published
• Erscheinungsjahr: 2025
• Sprache: Englisch
• ISBN-13: 9798288758980
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

What You Will Learn in This Book

• Establish a robust testing foundation by understanding the importance of software testing, the testing pyramid (Unit, Integration, E2E), and core terminology.
• Set up your Python testing environment and choose the right framework for your projects, with a practical comparison of unittest and pytest.
• Master pytest for effective unit testing, including writing clear test functions, utilizing powerful fixtures, parametrizing tests for efficiency, and managing test execution with markers.
• Isolate your code for precise unit tests using mocking and patching techniques with unittest.mock and the pytest-mock library, ensuring your tests focus only on the code under examination.
• Confidently test diverse Python code structures, from functions and classes to decorators, context managers, generators, and command-line interfaces.
• Implement comprehensive integration testing strategies to verify interactions between components, including databases and APIs, learning to manage complex setups and external dependencies.
• Develop and maintain resilient end-to-end (E2E) tests that simulate real user flows, utilizing tools like Selenium and Playwright, and applying design patterns like the Page Object Model.
• Integrate Test-Driven Development (TDD) into your workflow using the Red-Green-Refactor cycle, and apply Behavior-Driven Development (BDD) principles with tools like behave and pytest-bdd.
• Discover property-based testing with Hypothesis to automatically generate diverse test cases, uncover edge cases, and enhance the robustness of your algorithms and data structures.
• Assess and improve your test quality using code coverage tools (pytest-cov) and understand the benefits of mutation testing for truly effective test suites.
• Automate your testing within Continuous Integration (CI) pipelines using platforms like GitHub Actions, ensuring consistent and rapid feedback on code changes.
• Tackle specialized testing scenarios, including asynchronous Python code with asyncio, data science and machine learning applications, and complex microservices architectures.
• Cultivate a strong testing culture within your development lifecycle, understanding the role of testing in Agile and DevOps, and effectively debugging and learning from test failures.
• Stay ahead with emerging trends in the evolving Python testing ecosystem, including the impact of AI and machine learning on test automation.