Welcome to the Project Jupyter documentation site. Jupyter is a large umbrella project that covers many different software offerings and tools, including the popular Jupyter Notebook and JupyterLab web-based notebook authoring and editing applications. The Jupyter project and its subprojects all center around providing tools (and standards) for interactive computing with computational notebooks.
What is a Notebook?#Pictured: A computational notebook document, shown inside JupyterLab
📘 Note: Read What is Jupyter? for a detailed look at Jupyter and notebooks.
A notebook is a shareable document that combines computer code, plain language descriptions, data, rich visualizations like 3D models, charts, graphs and figures, and interactive controls. A notebook, along with an editor (like JupyterLab), provides a fast interactive environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas with others.
Where do I start?#Most people begin with Jupyter by installing an editing application that fits their preferences, like JupyterLab or Jupyter Notebook, and making their first notebook document:
Jupyter Notebook offers a simplified, lightweight notebook authoring experience
JupyterLab offers a feature-rich, tabbed multi-notebook editing environment with additional tools like a customizable interface layout and system console
And more… read about additional notebook interfaces here!
You can also develop your own extensions or applications on top of existing Jupyter software. Check out the subproject sites below for more information.
More information#These are a few high-level topics to help you learn more about the Jupyter community and ecosystem.
Sub-project documentation#Individual sub-projects are typically organized around a key feature of the Jupyter ecosystem, and have their own community, documentation and governance. Below is a list of documentation for major parts of the Jupyter ecosystem.
Table of Contents#The rest of the documentation on this site covers major use-cases of the Jupyter ecosystem, as well as topics that will help you navigate the various parts of the Jupyter community. For more in-depth documentation about a specific tool, we recommend checking out that tool’s documentation (see the list above).
Resources# Indices and tables#RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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