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Description

Jupyter Notebooks allow users to create computational narratives that combine live code, equations, explanatory text, and interactive user interfaces. These open-source tools support scientific computing and data science in a number of programming languages including Python, R, and Julia.

Demonstration video

Link to a short (5 minute) demonstration of the key features of the tool or service.

Primary features

Enables sharing of documents that contain live code, equations, visualizations and explanatory text.
Notebooks can be shared using Github, Dropbox, email, or the Jupyter Notebook Viewer

Example use cases

Short description of example use cases and links to relevant installations if appropriate.

Jupyter Notebooks have been integrated with Clowder for the TERRA-REF project.

See also

In Labs Workbench

The following Jupyter tools are available in Labs Workbench:

NOTE: The following services generate a password in their log files on startup:

Jupyter Data Science Notebook
Jupyter Minimal Notebook

This is in addition to allowing the user to specify basic-auth with their Workbench credentials.

Simply copy and paste this password when Jupyter prompts you

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