Introduction

In this chapter, we will explore several advanced features and usage examples of the Jupyter Notebook. As we have only seen basic features in the previous chapters, we will dive deeper into the architecture of the Notebook here.

The Notebook ecosystem

Jupyter notebooks are represented as JavaScript Object Notation (JSON) documents. JSON is a language-independent, text-based file format for representing structured documents. As such, notebooks can be processed by any programming language, and they can be converted to other formats such as Markdown, HTML, LaTeX/PDF, and others.

There is an ecosystem of tools around Jupyter Notebook. Notebooks are being used to create slides, teaching materials, blog posts, research papers, and even books. In fact, this very book is entirely written in the Notebook using the Markdown format and a custom-made Python tool.

JupyterLab is the next generation of the Jupyter Notebook. It is still in an early stage of development at the time of writing....