Julia in Jupyter

Jupyter allows for language kernels other than Python.

Julia Version

There are multiple versions of Julia installed on Picotte. We will be using julia/1.7.3 in this example.

Prerequisites

VS Code Jupyter setup

This requires that you have VS Code set up to use remote Jupyter kernels. See: Jupyter via VS Code

We will use the following Python version (Jupyter is a Python application; the Jupyter kernel can be other languages):

[juser@picotte001 ~]$ module load python/gcc/3.10

Install IJulia package

This example uses Julia 1.7.3 but will work with any Julia version.

There is only one package to install: IJulia.[1]

In the terminal in VS Code, run Julia and install the IJulia package -- type the "]" (right square bracket) and the prompt will change to the "pkg>" prompt:

[juser@picotte001 ~]$ module load python/gcc/3.10
[juser@picotte001 ~]$ module load julia/1.7.3
[juser@picotte001 ~]$ julia
               _
   _       _ _(_)_     |  Documentation: https://docs.julialang.org
  (_)     | (_) (_)    |
   _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.
  | | | | | | |/ _` |  |
  | | |_| | | | (_| |  |  Version 1.7.3 (2022-05-06)
 _/ |__'_|_|_|__'_|  |  Official https://julialang.org/ release
|__/                   |

julia> ]
(@v1.7) pkg> add IJulia
... [lots of output] ...

Hit "Ctrl-D" to exit.

Run Jupyter Lab server and create notebook

At the shell prompt in the same terminal:

[juser@picotte001 ~]$ jupyter-lab
... lots of messages ...
    To access the server, open this file in a browser:
        file:///home/juser/.local/share/jupyter/runtime/jpserver-14571-open.html
    Or copy and paste one of these URLs:
        http://localhost:8888/lab?token=random_characters
     or http://127.0.0.1:8888/lab?token=random_characters

Copy one of the URLs shown, and paste into a browser on your PC. You should see a new Jupyter Lab launcher:

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