Jupyter defines it’s notebooks (“Jupyter Notebooks”) as an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
To open a Jupyter notebook, Sign in to crane.unl.edu using your hcc credentials (NOT your campus credentials).
Select your preferred authentication method.
Choose a job profile. Select “Local Jupyter Notebook” for light tasks such as debugging or small-scale testing. Select the other options based on your computing needs. Note that a local Jupyter Notebook will save to your “home” directory, while the other options save to your “work” directory.
2. A new tab will open, where you can enter your code. Run your code by selecting the “play” icon.
R packages are already installed and available within Jupyter Notebooks.
However, it is possible to install custom packages to be used in notebooks by creating a custom Anaconda
Environment. Detailed information on how to create such an environment can be found at
Using an Anaconda Environment in a Jupyter Notebook on Crane.