Economist by training and horticulturist by experience. Erstwhile volunteer CTA for Andrew Ng's early Coursera courses in machine learning.
Julia is quite greedy for computing resources: processor cores, physical memory and time. When using all three intensively, for example in Machine Learning, it is useful to be able to implement fine control. Watch core temperatures, memory availability and task completion as heavy computation proceeds calling on Linux utilities: free, watch, sensors and flite. Please see https://github.com/colbec/juliacon2021poster for working detail.