Leverage big data tools, such as Apache Spark, from Python, R, and Scala. Explore that same data with pandas, scikit-learn, ggplot2, and TensorFlow. A multi-user version of the notebook designed for companies, classrooms and research labs

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

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.

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 of our tools for free online, thanks to mybinder.org, a free public service provided by the Jupyter community.

An interactive Python kernel and REPL. Reference. APIs. Installation, Configuration, and Usage. Documentation for users. Advanced. Documentation for advanced use-cases

How do I install Python 2 and Python 3? How do I install other languages like R or Julia?

Try Jupyter#. Contents. Try in Your Browser. No Installation Needed. Try the Classic Notebook interface. Try the JupyterLab interface. Next step: install Jupyter locally

Anaconda conveniently installs Python, the Jupyter Notebook, and other commonly used packages for scientific computing and data science. Use the following installation steps: Download Anaconda. We recommend downloading Anaconda’s latest Python 3 …

Try Jupyter applications, kernels, and widgets online without installing anything. Explore JupyterLab, Notebook, JupyterLite, Voilà, and more with free demos.

WASM powered Jupyter running in the browser.