For #AnalyticalApril in exercism's #12in23 challenge I picked #julialang and finally started yesterday, and already I am mindblown! 🤯

The commented out first line was my attempt, typical functional approach using map to turn every letter in the alphabet to a boolean of true (if it's in the string) or false (if it's not) and then fold that into one value using boolean and operation.

But in Julia you can simply check if the range is a subset of the sentence. Loving this mathematical elegance.

I earned the #AnalyticalApril badge on #exercism using #python :python:

I'm behind on what I hoped to do this month thanks to a bad cold, but I'll also be working through the #rstats :rstats: and #julia :julia: exercises. Python is far from my favourite language, but it's relentlessly common so I really should get better at using it. I've deployed a couple of AWS Lambda functions using it since it's so much better supported.

Trying out a little Julia for #AnalyticalApril on #Exercism