Mostly because I don't feel they will teach me something new. But I might be mistaken, who knows.
Another factor is the so-called T-shaped skills. I feel I've been going wide (learning every possible technology and paradigm under the sun) for waaaaaaay too long. I now want to focus on several skills and learn them to near perfection before going wide again.
If you already learned pure functional programming through Haskell, then I would not recommend to learn Scala to broaden your overall language-skills.
If you haven't really done the pure functional programming thing, then I recommend to learn it. Especially the way of doing concurreny would be very very different from how it's done in both Rust and Elixir. Scala also has actors, but the other way of doing concurrent programming is more interesting. For example, check this here: https://zio.dev/docs/datatypes/datatypes_stm
This is something you don't have in Rust or Elixir at all (to my knowledge).
But if it's really just for the sake of learning, I think choosing Haskell is better - who cares about strings when you learn these things.
If you want to specialize, learn Rust in and out. :D
Yep, I've been quite exposed to [almost] pure FP for 4 years and something now -- by working with Elixir. Definitely not as hardcore as LISP or Haskell but I feel it already made me much better than before. So in terms of being exposed to new programming / comp-sci paradigms, I don't know, I am sure I haven't seem them all (stuff like Coq and Idris 2 comes to mind as an example) but I also don't want to only invest in being a walking talking (and useless) encyclopaedia. :)
> This is something you don't have in Rust or Elixir at all (to my knowledge).
Maybe I am misunderstanding you but Erlang -- and thus Elixir -- has the best actor system invented so far. Message passing, copying data between actors, immutability, Erlang's OTP (fault-tolerance and tunable restarts of crashed actors), all of those things were the entire reason I moved my web work to Elixir at all. Well, the amazingly well done build and task executing tool `mix` turned out to be a huge and pleasant bonus, not to mention the very welcoming community and top-notch docs and best-I-ever-seen REPL experience.
In fact Erlang's actor system is so good that those in Scala and .NET were very heavily inspired by it. Akka in Java land as well.
Rust is getting there too -- the async semantics, the const functions and the various runtimes definitely are converging to much more efficient and machine-native actors with zero copying semantics and dynamic multiplexing on all CPU cores. I am extremely excited to see where Rust is headed in the next 5 years. It has the potential to get very close to the end-all be-all language.
> If you want to specialize, learn Rust in and out. :D
Completely agreed! There's so much work to be done out there that requires efficient use of hardware. So many companies have legacy systems still limping on ancient C/C++ monoliths and 2-3 brave souls are maintaining them, but the business wants either new features or the tech debt is preventing any improvements -- reasons abound.
Rust is extremely well-positioned to disrupt a lot of companies with legacy systems. I am planning to cash in on these opportunities. So it's a good advice from you, thank you.
> Maybe I am misunderstanding you but Erlang -- and thus Elixir -- has the best actor system invented so far.
I would sigh off on that, and yeah, I think you misunderstood me.
> Yep, I've been quite exposed to [almost] pure FP for 4 years and something now -- by working with Elixir.
That surprises me. I'm not sure we use the same terminology. There is no "almost" pure. Immutability and passing around functions is nice, but it is really only 10% of functional programming. Mind that many languages call them "functional" nowadays, but the original meaning is actually different - it's about referential transparency. I'm not aware that Elixir supports that in a meaningful way, especially since you said you did it for 4 years.
So for what I'm writing next, I'm just assuming that what you did is using immutable datastructures and avoiding mutation of variables etc.
If someone comes to me and wants to learn actorsystems, I can direct them to either Erlang/Elixir or Scala (with Akka). But honestly, Scala+Akka makes it difficult to fully embrace actors and is just... inferior. I would always recommend Erlang/Elixir and would even go so far to say, that most people probably don't really learn to think in actors if they pick Akka.
For pure FP however it is the opposite. If you have not written any slightly bigger program in Haskell or Scala using FP, then you also haven't understood the concept. If you don't already think in pure FP, then you will have a hard time to learn it when writing Elixir.
In Scala, the situation is much better, but still not optimal _for learning_ pure FP. I suggest you to look into Haskell again when you feel in the mood to tease your brain a bit with a new style of programming. Pure FP is as different from using Elixir/Actors as Exlixir/Actors is different from writing python. You have to think different.
For me, both Actors and oure FP are actually techniques that complement each other very well. Pure FP is good for writing all the code _inside_ of an actor. It makes reasoning and concurrent programming much easier compared to having a lot of really small actors. On the other hand, pure FP does not scale - once you cannot stay in your own small "bubble", you need a concept to go beyond. Be it to work with multiple machines, deal with elegant recovery from hardware problems or network problems between bigger parts of the system, or simply load and messaging problems. I don't know anything that is better suited than the actor model here. I hope that eventually we will have a VM like the Erlang VM with a language that supports pure FP as well as Haskell does. :)
Another factor is the so-called T-shaped skills. I feel I've been going wide (learning every possible technology and paradigm under the sun) for waaaaaaay too long. I now want to focus on several skills and learn them to near perfection before going wide again.