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
Fitness Function with a Contact Book Application

We have already seen that in test-driven development, it is common to start development by designing and writing acceptance tests to define what the software should do and then dive into the details of how to do it with lower-level tests. That frequently is the foundation of Acceptance Test-Driven Development (ATDD), but more generally, what we are trying to do is to define a Fitness Function for our whole software. A fitness function is a function that, given any kind of solution, tells us how good it is; the better the fitness function, the closer we get to the result.

Even though fitness functions are typically used in genetic programming to select the solutions that should be moved forward to the next iteration, we can see our acceptance tests as a big fitness function that takes the whole software as the input and gives us...