To get the most out of this book

While this book is meant to get everyone started in all the discussed topics, having some knowledge of programming is preferable as it will help you get the best out of the practical examples.

On the other hand, if you have computing knowledge, but not so much testing knowledge, you may find some of the examples too easy for you. Feel free to take them to the next level and try out the more challenging aspects of what is discussed here.

Software, programming languages, and libraries covered in the book:

Java, junit-jupiter:5.7.2, Python, unittest, TypeScript, JavaScript, C#, JSON, CSV, RabbitMQ, Cypress, Selenium 4, AirtestProject/Poco, YAML, 3D.js, pandas, Unium, Unity, NumPy, scikit-learn, sklearn, gym, and TestNG.

Additional instructions to set up each of these are provided within each chapter. Make sure you install the mentioned programs and libraries for each chapter.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Disclaimer

The author is not writing in representation of her company and no content in the book is related to any of her work within her company.

Download the example code files

You can download the example code files for this book from GitHub at https://github.com/PacktPublishing/How-to-Test-a-Time-Machine. If there’s an update to the code, it will be updated in the GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!