Jupyter Book
Books with Jupyter
The Jupyter Book Guide
Anatomy of a Jupyter Book
Create your Jupyter Book template
Build HTML for each page of your book
Publishing your book online
Build the book's site HTML locally
Publishing your book with GitHub Pages
Automatically building and hosting your book with Netlify
Frequently Asked Questions (FAQ)
Advanced topics and how-tos
Features
Creating book content
Content with notebooks
Hiding or removing code blocks or entire cells
Connecting content with JupyterHub and Binder
Executing pages of your book
Beta features
Interactive code in your book
Typesetting Math in your book
Page titles and authors
Including citations in your book
Jupytext with Jupyter Book
Controlling the page layout
Building a single page instead of a book
Advanced topics and guides
Automatically building, previewing, and pushing your book with CircleCI
GitHub repository
Contributing to Jupyter Book
Example Book Gallery
Demo textbook
1. What is Data Science
1.1 Chapter 1: Introduction
1.2 Why Data Science?
1.3 Plotting The Classics
1.3.1 Subsections
1.3.2 A second subsection page
2. Causality and Experiments
2.1 Observation and Visualization: John Snow and the Broad Street Pump
2.2 Snow’s “Grand Experiment”
2.3 Establishing Causality
2.4 Randomization
2.5 Endnote
3. Programming in Python
3.1 Expressions
3.2 Names
3.3 Calls
3.4 Introduction To Tables
4. Types
4.1 Numbers
4.2 Strings
4.3 Comparison
Test pages
Testing page elements
Mathematical equations
Testing code blocks
Demo page to showcase markdown
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.pdf
A second subsection page
And here's another subsection page!
