[cybernautique]

Nah mate, s'all good! It's great to hear your feedback; I am very much of the algebraist spirit myself (I barely passed my Rudin-based real analysis course). Our experiences definitely align. FP feels much more like my favorite parts of math.

Out of curiosity, can you identify any areas in PLT that could be made more analyst-friendly?

Intuitively, it feels that PLT is almost necessarily of the algebraist; to me, one of the big divides is the discreteness of algebra vs the continuity of analysis. Would it help if there was a PLT that exhibited a greater degree of continuousness? If so, what do you think that might look like?

[Karrot_Kream]

Your comment made me think a lot! Thanks for that. If I had to "capture" what made analysis interesting for me, it's not just the notion of continuity, but the idea that we're analyzing the behavior of an object in the concrete instead of the abstract. That means taking an object and deriving all sorts of behaviors, instead of building up algebras from simple group/ring operations. To bring this back into PLT, it would probably mean the ability to place computational complexity bounds on functions/methods. Something like Mercury's Execution Modes https://www.mercurylang.org/information/doc-latest/mercury_r...

[cybernautique]

Very cool! I'd never seen this formalized, but it definitely has the color of some "hacks" I put together in Python (specifically the idea of "destructively updating" an item in an index, as opposed to appending an element to the end).

That's also a very interesting perspective on analysis. To get a better feel: is your joy of analysis in getting into the "internals" of an algebra, to directly derive properties of elements within the algebra as opposed to relying solely on global properties endemic to the construction of the algebra?