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Materials for NUIT RCS's Julia language workshop

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For archived materials from old workshops, please see the folders 'archive_2018' 
and 'archive_2023'

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Materials (introductory slides and .ipynb) for Day 1 of the 2024 workshop are in 
the 'Day1_2024' folder
Materials (slides for reference, data science and machine learning example .ipynb's with
exercises and answers) for Day 2 of the 2024 workshop are in the 'Day2_2024' folder 

The .ipynb's were designed to be run on Google Colab instances with Julia kernels on 
CPUs and GPUs, but should also run on the Quest compute cluster. 
To run these (and other) Julia notebooks on Quest, we'd suggest using the Jupyter 
interactive application through Quest onDemand
(https://services.northwestern.edu/TDClient/30/Portal/KB/ArticleDet?ID=2234). You
will need to: 1) use a Julia system module or a local install, 2) install the Julia 
package 'IJulia' ('Pkg.add("IJulia")'), and 3) select the associated Julia kernel 
from Jupyter in Quest onDemand.

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