I suspect a lot of the casual fascination with APL these days comes from frustration with Numpy. In the same way that nobody had anything good to say about Ada until C++ and Java were firmly entrenched.
I am an APL-fan specifically because it's like a parallel universe where evolution took a different path: what are often considered anti-patterns in main stream languages is best practice in APL. It's a welcome relief from the strait-jacket of "the Zen of Python". No libraries? It's a feature. Single-letter variable names? Of course. Terseness as a virtue? Oh yes. Right-to-left flow? Why not? Precedence levels? Who needs them? Tacit? Bring it on. APL is easily the most productive tool in my chest.
I use APL for any task I previously used Python for, involving grabbing some data typically via a json-over-http API, massaging, aggregating and otherwise combining it to produce summaries or reports. I've gradually rewritten my bunch of scripts and code I use daily from python to APL, and seen a 10-100x reduction in code size, and usually a significant speed-up (admittedly, Python is a low bar here).
