My weekend side-project: at long last I set some time aside to learn the basics of #julialang. The learning process was a tonne of fun. The thing where it somehow sprawled into a three-part series of blog posts... not so much fun. Anyway here they are... first one is me wrestling with some basic features in language
Second one is a bit more practical, and looks at how to do basic data wrangling using the DataFrames package. Not surprisingly as an #rstats person learning #julialang, a big part of this was me trying to find a pipe-centric workflow that I like. In the end I decided I kind of like the combination of the Julia base pipe and anonymous functions as a workflow
By the time I hit the third post I was kind of exhausted, so it's a bit, um, telegraphic in places. But nevertheless it was sort of nice to get a sense of (one tool for) data visualisation in #julialang
Siiiiiiigh. One day I will figure out what the bloody rules are for why Mastodon shows image previews for some posts but not others. I really wish there were a tool I could use to test if my social media meta tags are actually going to work on Mastodon because right now it seems to be pot luck
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