
Project Jupyter | Home
The Jupyter Notebook is the original web application for creating and sharing computational documents. It offers a simple, streamlined, document-centric experience.
Project Jupyter | Try Jupyter
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 …
Project Jupyter | Installing Jupyter
Installing Jupyter 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 …
Try Jupyter — Jupyter Documentation 4.1.1 alpha documentation
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.
Installing the classic Jupyter Notebook interface
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.
Project Jupyter Documentation — Jupyter Documentation 4.1.1 …
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 …
Install and Use — Jupyter Documentation 4.1.1 alpha documentation
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 …
Jupyter Notebook - Notebooks
Explore Jupyter Notebook with interactive, free online demos without installing anything.
Running the Notebook — Jupyter Documentation 4.1.1 alpha …
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 …
What is Jupyter? — Jupyter Documentation 4.1.1 alpha …
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.
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