I have been writing Elixir professionally for the bulk of my career. (It’s been pretty awesome!) Despite this, I consider Racket to be my native language because it’s so easy for me to think in Racket. It’s the perfect bridge between my brain and the problem domain.
See https://blog.racket-lang.org/2026/05/racket-v9-2.html for the release announcement and highlights.
If you are using rackup you can upgrade with `rackup upgrade`
Don’t forget to migrate your packages with raco pkg migrate 9.1
I did start to feel Racket’s “wordiness” towards the end - it started to feel a bit like COBOL. I’ve since moved onto Clojure and really appreciate the shorter keywords/function names/fewer parenthesis.
I still miss for/fold though - that thing is an absolute machine.
At $dayjob I'm using it to test what novel geometries of deep learning models would look like. Being able to redefine any part of the stack for any reason is a superpower you don't know you need until you do.
A great place to start is the little learner which holds your hand until you get opinionated about what the underlying primitives should look like. E.g. what if we used sparse tensor representation?
https://scottlocklin.wordpress.com/2024/11/19/lush-my-favori...
Scheme is a wonderful lisp dialect. It taught me basics of functional programming, about closures, about tail call recursion, about functions always returning values (which annoyed me a lot when I started learning Python, where .append or .sort returened `none` instead of the list, and were destructive).
So I have very fond memories of Racket (then DrScheme) and Scheme. Had also written my matrix multiplication library and my CAS system to mimic the functionality of my HP28s calculator.
Have to look into it again.