Jupyter Notebooks on Crane

Connecting to Crane

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.

  1. To open a Jupyter notebook, Sign in to crane.unl.edu using your hcc credentials (NOT your campus credentials).

  2. Select your preferred authentication method.

  3. Choose a job profile. Select “Noteboook via SLURM Job | Small (1 core, 4GB RAM, 8 hours)” for light tasks such as debugging or small-scale testing. Select the other options based on your computing needs. Note that a SLURM Job will save to your “work” directory.

Running Code

  1. Select the “New” dropdown menu and select the file type you want to create.

2. A new tab will open, where you can enter your code. Run your code by selecting the “play” icon.

Opening a Terminal

  1. From your user home page, select “terminal” from the “New” drop-down menu.
  2. A terminal opens in a new tab. You can enter Linux commands at the prompt.

Using Custom Packages

Many popular python and 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.