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Crafting Test-Driven Software with Python: Write test suites that scale with your applications' needs and complexity using Python and PyTest

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Get to grips with essential concepts and step-by-step explanations to apply TDD practices to your Python projects while keeping your test suite under control

Key FeaturesBuild robust Python applications using TDD and BDD methodologiesTest Python web applications using WebTest and web frameworksLeverage PyTest to implement stringent testing mechanisms to ensure fault-tolerant applicationsBook DescriptionTest-driven development (TDD) is a set of best practices that helps developers to build more scalable software and is used to increase the robustness of software by using automatic tests. This book shows you how to apply TDD practices effectively in Python projects.

You’ll begin by learning about built-in unit tests and Mocks before covering rich frameworks like PyTest and web-based libraries such as WebTest and Robot Framework, discovering how Python allows you to embrace all modern testing practices with ease. Moving on, you’ll find out how to design tests and balance them with new feature development and learn how to create a complete test suite with PyTest. The book helps you adopt a hands-on approach to implementing TDD and associated methodologies that will have you up and running and make you more productive in no time. With the help of step-by-step explanations of essential concepts and practical examples, you’ll explore automatic tests and TDD best practices and get to grips with the methodologies and tools available in Python for creating effective and robust applications.

By the end of this Python book, you will be able to write reliable test suites in Python to ensure the long-term resilience of your application using the range of libraries offered by Python for testing and development.

What you will learnFind out how tests can make your life easier as a developer and discover related best practicesExplore PyTest, the most widespread testing framework for PythonGet to grips with the most common PyTest plugins, including coverage, flaky, xdist, and pickedWrite functional tests for WSGI web applications with WebTestRun end-to-end tests for web applications using Robot FrameworkUnderstand what test-driven development means and why it is importantDiscover how to use the range of tools available in PythonBuild reliable and robust applicationsWho this book is forThis book is for Python developers looking to get started with test-driven development and developers who want to learn about the testing tools available in Python. Developers who want to create web applications with Python and plan to implement TDD methodology with PyTest will find this book useful. Basic knowledge of Python programming is required.

Table of ContentsGetting Started with Software TestingTest Doubles with a Chat ApplicationTest-Driven Development while Creating a TODO ListScaling the Test SuiteIntroduction to PyTestDynamic and Parametric Tests and FixturesFitness Function with a Contact Book ApplicationPyTest Essential PluginsManaging Test Environments with ToxTesting Documentation and Property-Based TestingTesting for the WSGI versus HTTPEnd-to-End Testing with the Robot Framework

338 pages, Kindle Edition

Published February 18, 2021

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Displaying 1 - 2 of 2 reviews
Profile Image for Vlad Bezden.
236 reviews14 followers
March 29, 2021
This is a second book by Alessandro and as with the first book he did a great job. In this book, he covers all aspects of testing. Not only he provides how to test using different frameworks like unittest and pytest, but he also provides information about different strategies of testing, such as unit tests, TDD, BDD, ATDD. The one chapter that I like the most is "Test Doubles with a Chat Application" where he is talking about dependencies injection.
This book everything you need to know about software testing.
Profile Image for Jeff Swan.
4 reviews1 follower
February 13, 2023
I started using pytest instead of unittest after reading this. Five months later, still loving pytest. Would recommend.
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