Book Image

Crafting Test-Driven Software with Python

By : Alessandro Molina
Book Image

Crafting Test-Driven Software with Python

By: Alessandro Molina

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)
1
Section 1: Software Testing and Test-Driven Development
6
Section 2: PyTest for Python Testing
13
Section 3: Testing for the Web
16
About Packt

Introducing Tox

Tox is a virtual environment manager for Python. It takes care of creating the environments and installing our project and all its dependencies on multiple Python versions.

It is a convenient tool that can automate the setup of our project environment and abstract it in a way that we can reuse the same command both locally and in our Continuous Integration (CI) pipeline to set up our project and run its tests. It also does that on multiple Python versions at the same time, so that we can check that our project works on all of them.

Testing multiple Python versions can be very convenient when you need to upgrade from one version to the next. Before switching all your systems to the new one, you want to ensure that your code is still able to work on both the old and new versions, so that you can perform a phased rollout.

If we take our contacts application example from Chapter 8, PyTest Essential Plugins, the test suite required many dependencies to run. We needed flaky...