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The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience. Try it in your browser Install the Notebook. Language of choice. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. Share notebooks.
Project Jupyter builds tools, standards, and services for many different use cases. This page has links to interactive demos that allow you to try some our tools for free online, thanks to mybinder.org, a free public service provided by the Jupyter community.
WASM powered Jupyter running in the browser.
Get up and running on your computer. Project Jupyter’s tools are available for installation via the Python Package Index, the leading repository of software created for the Python programming language. This page uses instructions with pip, the recommended installation tool for Python.
Sep 7, 2023 · Learn about Jupyter Notebook, part of the Jupyter Lab interactive IDE that is ideal for Data Science. We’ll explore its advantages over a regular IDE, show you how to install Jupyter Notebook and Jupyter Lab and demonstrate its abilities.
Built on the power of the computational notebook format, Jupyter Notebook offers fast, interactive new ways to prototype and explain your code, explore and visualize your data, and share your ideas with others.
Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
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. If you’re not familiar with some of those things, you can take a guided tour below that explains each one from the start.
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 best-practices for how to install and use the tool.
