When commandline apps were everywhere, people dreamed of graphical interfaces. Burdened by having to also do jobs that it was bad at, the commandline got a bad reputation. It took the dominance of the desktop for commandline apps to find their niche.
In a similar way, OOP is cursed by its popularity. It has to become part of a mixed diet so that people can put it where it has advantages, and it does have advantages.
I have ported Ray Tracing in One Weekend into Rust, while keeping the same OOP design from the tutorial, and affine types were not an impediment to interfaces, polymorphism and dynamic dispatch.
The whole concept of OOP is a major conceptual regression in how it treats aliasing, which is a major headache for compiler writers, necessitating either whole program analysis or JIT like techniques.
In diehard FP (e.g. Haskell) it's hard to even place a breakpoint, let alone see the complete state. In many cases, where implementing a piece of logic without carrying a lot of state is impossible, functional programming can also become very confusing. This is especially true when introducing certain theoretical concepts that facilitate working with IO and state, such as Monad Transformers.
Imho, most FP languages have very serious human-interface issues.
It's no accident that C likes statements (and not too complex ones at that). You can read and parse a statement atomically, which makes the code much easier to read.
In contrast, FP tends to be very, very dense, or even worse, have a density that's super inconsistent.
Depends on the FP. Pipes make things fairly legible. Example from Elixir:
def some_function(thing, doodad, doohickey) do
thing
|> foo(doodad)
|> bar()
|> baz(doohickey)
|> quux()
end
Also easy to debug -- break on any of those lines, or insert `|> IO.inspect()` at any point for good old fashioned print debugging.Conversely, the non-FP non-pipe version of this would:
(a) be monstrous and difficult to segment: `quux(baz(bar(foo(thing, doodad)), doohickey))`,
(b) needlessly require OOP: `thing.swizzle(doodad).razzle().blorple(doohickey).dazzle()`, where the functions are methods defined on the preceding construct (or some parent construct, to god-knows-what generation), or
(c) require a lot of throw away variables (you get the picture).
I wish more languages had a pipe construct. It's very handy.
Interestingly, D is one of the few languages to have uniform function call syntax,[0] which makes the dot syntax effectively act as a pipe operator, requiring no OOP coupling for its use. Very neat!
[0] https://en.wikipedia.org/wiki/Uniform_function_call_syntax
That's more a problem of having mutable references, you'd have the same problem in a procedural language.
In fact I don't even know of any production language that handles variable mutability with any rigor other than Rust.
The reason for that is OOP tends to favor constructs where each objects holds references to other objects, creating whole graphs, its not uncommon that from a single object, hundreds of others can be traversed.
Even something so simple as calling a member function from a member function becomes incredibly difficult to handle.
Tbh - this is with good reason, one of the biggest flaws of OOP is that if x.foo() calls x.bar() in the middle, x.bar() can clobber a lot of local state, and result in code that's very difficult to reason about, both for the compiler and the programmer.
And it's a simple case, OOP offers tons of tools to make the programmers job even more difficult - virtual methods, object chains with callbacks, etc. It's just not a clean programming style.
Edit: Just to make it clear, I am not pointing out these problems, to sell you or even imply that I have the solution. I'm not saying programming style X is better.