########################################################################################### Materials for NUIT RCS's Julia language workshop ########################################################################################### For archived materials from old workshops, please see the folders 'archive_2018' and 'archive_2023' ########################################################################################### 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. ###########################################################################################