The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

The Jupyter team builds several end-user applications that facilitate interactive computing workflows. Click the boxes below to learn how they work and to learn more.

Project Jupyter’s tools are available for installation via the Python Package Index, the leading repository of software created for the Python programming language.

Try Jupyter (https://try.jupyter.org) is a site for trying out the Jupyter Notebook, equipped with kernels for several different languages (Julia, R, C++, Scheme, Ruby) without installing anything.

Explore Jupyter Notebook with interactive, free online demos without installing anything.

This page contains information and links about installing and using tools across the Jupyter ecosystem. Generally speaking, the documentation of each tool is the place to learn about the …

By implementing the designs described in the Jupyter Protocol, you could invent a completely new interactive programming experience, or add support for a new programming language to Jupyter.

This section includes instructions on how to get started with Jupyter Notebook. But there are multiple Jupyter user interfaces one can use, based on their needs.

Jupyter can be used for many different use-cases. Below are a few user stories for when and how you might use tools in the Jupyter ecosystem, as well as a diagram that helps lay out some of …

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 …