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  • Book Overview & Buying Crafting Test-Driven Software with Python
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Crafting Test-Driven Software with Python

Crafting Test-Driven Software with Python

By : Molina
4.8 (11)
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Crafting Test-Driven Software with Python

Crafting Test-Driven Software with Python

4.8 (11)
By: Molina
Buy this Book

Overview of this book

Test-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.
Table of Contents (18 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
1
Section 1: Software Testing and Test-Driven Development
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Section 1: Software Testing and Test-Driven Development
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2
Getting Started with Software Testing
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Getting Started with Software Testing
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Technical requirements
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Introducing software testing and quality control
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Introducing automatic tests and test suites
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Introducing test-driven development and unit tests
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Understanding integration and functional tests
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Understanding the testing pyramid and trophy
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Summary
3
Test Doubles with a Chat Application
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Test Doubles with a Chat Application
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Technical requirements
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Introducing test doubles
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Starting our chat application with TDD
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Using dummy objects
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Replacing components with stubs
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Checking behaviors with spies
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Using mocks
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Replacing dependencies with fakes
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Understanding acceptance tests and doubles
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Managing dependencies with dependency injection
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Summary
4
Test-Driven Development while Creating a TODO List
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Test-Driven Development while Creating a TODO List
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Technical requirements
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Starting projects with TDD
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Building applications the TDD way
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Preventing regressions
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Summary
5
Scaling the Test Suite
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Scaling the Test Suite
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Technical requirements
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Scaling tests
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Working with multiple suites
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Carrying out performance testing
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Enabling continuous integration
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Summary
6
Section 2: PyTest for Python Testing
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Section 2: PyTest for Python Testing
7
Introduction to PyTest
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Introduction to PyTest
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Technical requirements
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Running tests with PyTest
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Writing PyTest fixtures
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Managing temporary data with tmp_path
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Testing I/O with capsys
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Running subsets of the testsuite
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Summary
8
Dynamic and Parametric Tests and Fixtures
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Dynamic and Parametric Tests and Fixtures
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Technical requirements
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Configuring the test suite
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Generating fixtures
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Generating tests with parametric tests
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Summary
9
Fitness Function with a Contact Book Application
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Fitness Function with a Contact Book Application
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Technical requirements
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Writing acceptance tests
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Using behavior-driven development
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Embracing specifications by example
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Summary
10
PyTest Essential Plugins
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PyTest Essential Plugins
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Technical requirements
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Using pytest-cov for coverage reporting
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Using pytest-benchmark for benchmarking
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Using flaky to rerun unstable tests
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Using pytest-testmon to rerun tests on code changes
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Running tests in parallel with pytest-xdist
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Summary
11
Managing Test Environments with Tox
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Managing Test Environments with Tox
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Technical requirements
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Introducing Tox
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Testing multiple Python versions with Tox
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Using Tox with Travis
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Summary
12
Testing Documentation and Property-Based Testing
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Testing Documentation and Property-Based Testing
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Technical requirements
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Testing documentation
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Property-based testing
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Summary
13
Section 3: Testing for the Web
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Section 3: Testing for the Web
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Testing for the Web: WSGI versus HTTP
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Testing for the Web: WSGI versus HTTP
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Technical requirements
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Testing HTTP
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Testing WSGI with WebTest
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Using WebTest with web frameworks
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Writing Django tests with Django's test client
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Summary
15
End-to-End Testing with the Robot Framework
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End-to-End Testing with the Robot Framework
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Technical requirements
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Introducing the Robot Framework
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Testing with web browsers
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Extending the Robot Framework
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Summary
16
About Packt
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About Packt
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Why subscribe?
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Other Books You May Enjoy
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Other Books You May Enjoy
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Packt is searching for authors like you
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Leave a review - let other readers know what you think
Section 2: PyTest for Python Testing

In this section, we will learn how PyTest, the most widespread Python testing framework, can be applied to the concepts we learned in Section 1, Software Testing and Test-Driven Development, regarding plain Python. We will also learn how to set up fixtures and which plugins exist to make our lives easier when we're maintaining a test suite.

This section comprises the following chapters:

  • Chapter 5, Introduction to PyTest
  • Chapter 6, Dynamic and Parametric Tests and Fixtures
  • Chapter 7, Fitness Function with a Contact Book Application
  • Chapter 8, PyTest Essential Plugins
  • Chapter 9, Managing Test Environments with Tox
  • Chapter 10, Testing Documentation and Property-Based Testing
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Programming languages
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Crafting Test-Driven Software with Python
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