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

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

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.

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 …

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 …

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 is just a short introduction to JupyterLab and Jupyter Notebooks. See below for some more ways to interact with tools in the Jupyter ecosystem, and its community.

WASM powered Jupyter running in the browser.JupyterLite requires JavaScript to be enabled in your browser.

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.

After you have installed the Jupyter Notebook on your computer, you are ready to run the notebook server. You can start the notebook server from the command line (using Terminal on …