To get the most out of this book

You should have a basic knowledge of data science, as well as its general objectives. In addition, you should be familiar with the Python language, and, in particular with the pandas and matplotlib libraries.

You will need a version of Python installed on your computer – Python 3.8, if possible. Almost all code examples have been tested using macOS Monterey 12.0.1, with the exception of software in Chapter 10, Comet for Deep Learning, which has been tested on Google Colab. However, code examples should work with future version releases too.

You should notice that the code examples described in Chapter 4, Workspaces, Projects, Experiments, and Models, require a different version of Java with respect to those described in Chapter 9, Comet for Natural Language Processing.

In addition, to make Comet work, you need to sign up to the Comet platform (https://www.comet.com/signup) and create an account.

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.