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Once you open a new notebook, you will may be prompted to select a kernel

• If you have never created a kernel to use, you will only see a list of default Jupyter kernels available on the cluster

• You may check the box to start with the preferred kernel every time you open a notebook

Default Kernels on ARCC HPC Resources currently include:

• Python Kernels

• R Kernels (only on Beartooth)

HPC-wide kernels are titled by packages installed and available when launched

Users can also create user-defined kernels from conda environments (Covered in a subsequent module. See: Launching Jupyter Kernels from Conda Environments)

From the Right side of the File Management Tab:

New->Notebook-> Select from a list of kernels. Choose Python 3 (ipykernel)

This should open a new browser tab/window with a blank Jupyter notebook named: Untitled.ipynb

If we go back to our previous Jupyter tab/window containing the file browser from which we launched our notebook, this new file shows up in the list, and has a green icon to it’s left, meaning it is currently running:

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