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Build beautiful, publication-quality books and documents from computational content.

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Text content ✏️

Structure books with text files and Jupyter Notebooks with minimal configuration.

MyST Markdown ✨

Write MyST Markdown to create enriched documents with publication-quality features.

Executable content 🔁

Execute notebook cells, store results, and insert outputs across pages.

Live environments 🚀

Connect your book with Binder, JupyterHub, and other live environments

Build and publish 🎁

Share your built books via web services and hosted websites.

UI components ⚡

Create interactive and web-native components and services.

This documentation is organized into a few major sections.

  • Tutorials are step-by-step introductory guides to Jupyter Book.

  • Topic Guides cover specific areas in more depth, and are organized as discrete “how-to” sections.

  • Reference sections describe the API/syntax/etc of Jupyter Book in detail.

Built with Jupyter Book#

Below are some books that have been built with Jupyter Book. You can find more in the Jupyter Book Gallery.

Inferential Thinking

https://inferentialthinking.com/_static/favicon.png

The textbook used by UC Berkeley’s popular Data 8 class.

Explore this book

QuantEcon

https://python.quantecon.org/_static/qe-logo-large.png

A free online book to teach computational economics with open source tools.

Explore this book

The Turing Way

https://the-turing-way.netlify.app/_static/logo.jpg

A guidebook for best-practices in reproducible and community-driven science.

Explore this book

The SciKit Learn MOOC

https://inria.github.io/scikit-learn-mooc/_static/scikit-learn-logo.png

A large online course for machine learning with the PyData stack.

Explore this book

Data Science @ UW

https://uwdata.github.io/visualization-curriculum/_static/altair-hist.png

Interactive data visualization with Python, as taught at the University of Washington.

Explore this book

Py-Pkgs

https://d33wubrfki0l68.cloudfront.net/9ff174183b5af5c3a177bfccd4796454883bc1f7/86cde/_static/py-pkgs-hex.png

A book describing how to create and use modern packages in the Python ecosystem.

Explore this book

Geographic Data Science

https://geographicdata.science/book/_static/logo.png

Solving geographic data problems with modern open source tools.

Explore this book

Connect with us#

We are an international open source community that welcomes discussion, feedback, and contributions of many kinds. Here are a few ways to connect more with us.

💬 Ask and answer questions

We have community discussions, talk about ideas, and share general questions and feedback in our community forum.

👍 Vote for new features

Provides feedback by adding a 👍 reaction to issues in our repositories. You can find a list of the top issues in the Executable Books issue leader board.

🙌 Contribute to projects

We welcome anyone to join us in improving Jupyter Book and helping one another learn and create their books. To join, check out our contributing guide.

🌍 About our team

Jupyter Book is developed by the Executable Books community. Check out our community documentation to learn more about us and how we work.

Acknowledgements#

Jupyter Book is supported by an open community of contributors, many of whom come from the Executable Books Community and the Jupyter community.

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Many thanks to the Sloan Foundation, which provides support for the Executable Books Project.