Search results
Project Jupyter promotes open standards that third-party developers can leverage to build customized applications. Think HTML and CSS for interactive computing on the web.
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.
Key features of JupyterHub. Customizable - JupyterHub can be used to serve a variety of environments. It supports dozens of kernels with the Jupyter server, and can be used to serve a variety of user interfaces including the Jupyter Notebook, Jupyter Lab, RStudio, nteract, and more.
Project Jupyter is a non-profit, open-source project, born out of the IPython Project in 2014 as it evolved to support interactive data science and scientific computing across all programming languages. Jupyter will always be 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license.
The Jupyter project and its subprojects all center around providing tools (and standards) for interactive computing with computational notebooks. What is a Notebook? Pictured: A computational notebook document, shown inside JupyterLab
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.
Jul 26, 2023 · Project Jupyter exists to develop open-source software, open standards, and services for interactive and reproducible computing. Follow More from Project Jupyter and Jupyter Blog
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.
Kernels (Programming Languages) #. The Jupyter team maintains the IPython project which is shipped as a default kernel (as ipykernel) in a number of Jupyter clients. Many other languages, in addition to Python, may be used in the notebook.
