The best way I've found to get people up-to-speed on Julia is to open an IJulia notebook and walk through something on the lines of this: http://learnxinyminutes.com/docs/julia/ After that, with more time, you can delve into providing deeper insights into coroutines, parallelism, etc. And since your audience is going to be statisticians, you could probably go deeper into useful packages like the DataFrames package and some of the JuliaStats packages.
-Ravi On Wednesday, 9 September 2015 15:25:42 UTC+5:30, Arin Basu wrote: > > Hi All, > > I am planning to offer a workshop (about 3 hours length, but can be > longer, up to five hours) introducing Julia language to a group of > statisticians and advanced students (biostatistics and epidemiology focus). > My audience is statisticians who may be familiar with Python, C, R, SAS, > SPSS. Some may or may not be, I do not know at this stage, but assume they > are not familiar with Julia. I'd greatly appreciate if you can kindly > suggest a list of topics that I shall I include. This is going to be an > introductory workshop. Can you please share a few sample introductory > workshop topic lists? > > Best, > Arin Basu > > >
