How to best read this book

While we have tried to provide all the code required to convey the book's ideas, we don't want to bore you with repetitive code snippets. Instead, we have created self-contained Jupyter notebooks (http://jupyter.org) that you can find via Git from https://github.com/PacktPublishing/Building-Machine-Learning-Systems-with-Python-Third-edition.

If you don't have Jupyter already, simply install it with pip install jupyter and then run it with jupyter notebook. It provides a much richer experience; for example, it directly integrates charts into it. Once you have cloned the Git repository of the book's code, you can simply follow along by hitting Shift + Enter. As a bonus, you will find that it has interactive widgets that let you play with the code: