Not affiliated, just recommending. The regular co-hosts appear to each be experienced with various array languages such as J, APL, etc. They don't get deeply technical, but it's a nice introduction, especially on explaining the appeal.
A recent episode had Rob Pike (UTF-8, Go, etc.) on to talk about his array based calculator, Ivy[2]
Documentation: https://pkg.go.dev/robpike.io/ivy#pkg-overview
Also see these Advent of Code 2021 solutions with Ivy: https://www.youtube.com/playlist?list=PLrwpzH1_9ufMLOB6BAdzO...
You can try it for yourself -- NumPy is a fair "Iverson ghost" -- APL without the symbols: it has a similar enough array model, and most of the APL primitives as functions or methods. APL lets you express linear algebra in a very natural way. Doing it in NumPy is much more convoluted.
Or try Rob Pike's (of Go fame) "ivy" -- his attempt at an APL-with-words (https://github.com/robpike/ivy).
https://www.youtube.com/playlist?list=PLrwpzH1_9ufMLOB6BAdzO...
However, although I totally get your point (I've been there), I have to say there is much more to learn if you try to understand that parallel world. It can take a while, but I think it is worth it.
>The author has never used APL. It's a chicken and egg problem. (...) All testing has been done with tryapl.org.
There are also a few free software implementations of APL most notably GNU APL. I have been sticking to that while learning APL. https://www.gnu.org/software/apl/
- Ken Thompson (APL\11): https://groups.google.com/forum/#!topic/comp.lang.apl/u9sl6g...
- Dan Bricklin (Multics APL): http://lowendmac.com/2006/dan-bricklin-inventor-of-the-elect...
- Bill Gates (designed, never published): http://americanhistory.si.edu/comphist/gates.htm#tc30
- Robert Griesemer: https://en.wikibooks.org/wiki/Go_From_Scratch/The_Origin_of_...
- Rob Pike: https://github.com/robpike/ivy
Video about it (Nov 2014): "Implementing a bignum calculator" https://www.youtube.com/watch?v=PXoG0WX0r_E