Page Comparison

...

After opening a new notebook, you will 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 include:

Python Kernels
R Kernels

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 Creating Jupyter Kernels from Conda Environments)

...

Running a Jupyter Notebook with Python 3 Kernel

If we select the default Python 3 (ipykernel), we are presented with the file explorer showing our home directory as it’s root location.

With root location set to our $HOME, we are unable to see our /project and /gscratch directories.
To expose these folders to the jupyter environment, create a symbolic link (aka shortcut) within our /home.

A screenshot of a computer

Description automatically generated

Image Added

Instructions for creating a symbolic link may be found here or expanded in the cell to the right

Expand

title	Steps to create a symbolic link

Open an ssh connection to the HPC cluster with:
ssh your_username@clustername.arcc.uwyo.edu
or open a shell through OnDemand:
Image Added
In the shell/terminal interface, create a symbolic link to your project (replacing project_name with the name of your project) with: