intro.md

title: Books with Jupyter

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:::{grid-item} :columns: 8 :class: sd-fs-3 Build beautiful, publication-quality books and documents from computational content.

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Get started

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Text content ️ ^^^

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

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MyST Markdown ^^^

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

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Executable content ^^^

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

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Live environments ^^^

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

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Build and publish ^^^

Share your built books via web services and hosted websites. :::

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UI components ^^^

Create interactive and web-native components and services. :::

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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 {bdg-primary}the Jupyter Book Gallery.

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:::{card} :margin: 3 :class-body: text-center :class-header: bg-light text-center https://www.inferentialthinking.com/ Inferential Thinking ^^^

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The textbook used by UC Berkeley's popular Data 8 class. +++ Explore this book {fas}arrow-right :::

:::{card} :margin: 3 :class-body: text-center :class-header: bg-light text-center https://python.quantecon.org/

QuantEcon ^^^

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A free online book to teach computational economics with open source tools. +++ Explore this book {fas}arrow-right :::

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The Turing Way ^^^

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A guidebook for best-practices in reproducible and community-driven science. +++ Explore this book {fas}arrow-right :::

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The SciKit Learn MOOC ^^^

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A large online course for machine learning with the PyData stack. +++ Explore this book {fas}arrow-right :::

:::{card} :margin: 3 :class-body: text-center :class-header: bg-light text-center https://uwdata.github.io/visualization-curriculum/intro.html

Data Science @ UW ^^^

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Interactive data visualization with Python, as taught at the University of Washington. +++ Explore this book {fas}arrow-right :::

:::{card} :margin: 3 :class-body: text-center :class-header: bg-light text-center https://py-pkgs.org/

Py-Pkgs ^^^

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A book describing how to create and use modern packages in the Python ecosystem. +++ Explore this book {fas}arrow-right :::

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Geographic Data Science ^^^

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Solving geographic data problems with modern open source tools. +++ Explore this book {fas}arrow-right ::: ::::

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.

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Ask and answer questions ^^^

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

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:::{grid-item-card} https://executablebooks.org/en/latest/feature-vote.html :class-header: bg-light

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.

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Contribute to projects

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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. :::

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About our team

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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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:::{grid-item} :columns: 7 Many thanks to the Sloan Foundation, which provides support for the Executable Books Project. :::

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