I think it may be one of those things you have to see in order to understand.
I think it may be one of those things you have to see in order to understand.
For exemple, it's endlessly amusing to me to see all the efforts the Haskell community does to basically reinvent mutability in a way which is somehow palatable to their type system. Sometimes they even fail to even realise that it's what they are doing.
In the end, the goal is always the same: better control and warranties about the impact of side effects with minimum fuss. Carmack approach here is sensible. You want practices which make things easy to debug and reason about while mainting flexibility where it makes sense like iterative calculations.
Because that’s not what they’re doing. They’re isolating state in a systemic, predictable way.
I think the authors are quite aware of the relationship between these techniques and mutable state! I imagine it's similar for other canonical functional programming texts.
Besides the "pure" functional languages like Haskell, there are languages that are sort of immutability-first (and support sophisticated effects libraries), or at least have good immutable collections libraries in the stdlib, but are flexible about mutation as well, so you can pick your poison: Scala, Clojure, Rust, Nim (and probably lots of others).
All of these go further and are more comfortable than just throwing `const` or `.freeze` around in languages that weren't designed with this style in mind. If you haven't tried them, you should! They're really pleasant to work with.
----
1: https://www.manning.com/books/functional-programming-in-scal...
2: https://www.manning.com/books/functional-programming-in-kotl...
In the end, the world is stateful and even the purest abstractions have to hit the road at some point. But the authors of Haskell were fully aware of that. The monadic type system was conceived as a way to easily track side effects after all, not banish them.
It’s a clear-minded and deliberate approach to reconciling principle with pragmatic utility. We can debate whether it’s the best approach, but it isn’t like… logically inconsistent, surprising, or lacking in self awareness.
This is a thoughtful response, but I can't help but chuckle at a response that starts with, just read this book!.
That's because Haskell is a predominantly a research language originally intended for experimenting with new programming language ideas.
It should not be surprising that people use it to come up with or iterate on existing features.
But of course you can learn in whatever way you like. Books are just a convenient example to point to as an indicator of how implementers, enthusiasts, and educators working with these techniques make sense of them and compare them to mutating variables. They're easy to refer to because they're notable public artifacts.
Fwiw, there's also an audiobook of the Red Book. To really follow the important parts, you'll want to be reading and writing and running code, but you can definitely get a sense of the more basic philosophical orientation just listening along while doing chores or whatever. :)
Maybe in that sense there's an "artificial" challenge involved, but it's artificial in the sense of being deliberate rather than merely arbitrary or absurd.
Anyway, I have great hopes for effect system as a way to approach this in a principled way. I really like what Ocaml is currently doing with concurrency. It’s clear to me that there is great value to unlock here.