Jupyter NotebookThe Jupyter Notebook is a web-based interactive computing platform that allows users to author data- and code-driven narratives that combine live code, equations, narrative text, visualizations, interactive dashboards and other media.
The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia and Scala.
Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer.
Code can produce rich output such as images, videos, LaTeX, and JavaScript. Interactive widgets can be used to manipulate and visualize data in realtime.
Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, dplyr, etc.
JupyterHub is a multiuser version of the notebook designed for centralized deployments in companies, university classrooms and research labs.
Manage users and authentication with PAM, OAuth or integrate with your own directory service system. Collaborate with others through the Linux permission model.
Deploy the Jupyter Notebook to all users in your organization on centralized servers on- or off-site.
Use Docker containers to scale your deployment and isolate user processes using a growing ecosystem of prebuilt Docker containers.
Deploy the Notebook next to your data to provide unified software management and data access within your organization.
Jupyter ArchitectureThe Jupyter Notebook is based on a set of open standards for interactive computing. Think HTML and CSS for interactive computing on the web. These open standards can be leveraged by third party developers to build customized applications with embedded interactive computing.
Jupyter Notebooks are an open document format based on JSON. They contain a complete record of the user's sessions and embed code, narrative text, equations and rich output.
Go backThe Notebook communicates with computational Kernels using the Interactive Computing Protocol, an open network protocol based on JSON data over ZMQ and WebSockets.
Go backKernels are processes that run interactive code in a particular programming language and return output to the user. Kernels also respond to tab completion and introspection requests.
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