proposal
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proposal | Nim | |
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46 | 346 | |
3,276 | 16,005 | |
0.5% | 0.9% | |
4.4 | 9.9 | |
14 days ago | 3 days ago | |
Go | Nim | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
proposal
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Does Go Have Subtyping?
The conclusion is pretty weird to me.
Go does rely on monomorphization for generics, just like C++ and Rust. The only difference is that this is an implementation detail, so Go can group multiple monomorphizations without worrying about anything else [1]. This form of hybrid monomorphization is being increasingly common, GHC does that and Rust is also trying to do so [2], so nothing special for Go here.
On the other hand, explaining variance as a lifted polymorphism is---while not incorrect per se---also weird in part because a lack of variance is at worst just an annoyance. You can always make an adopter to unify heterogeneous types. Rust calls it `Box`, Go happens to call it an interface type instead. Both languages even do not allow heterogeneous concrete (or runtime) types in a single slice! So variance has no use in both languages because no concrete types are eligible for variance anyway.
I think the conclusion got weird because the term "subtyping" is being misused. Subtyping, in the broadest sense, is just a non-trivial type relation. Many languages thus have a multiple notion of subtyping, often (almost) identical to each other but sometimes not. Go in particular has a lot of them, and even some relation like "T implements U" is a straightforward record subtyping. It is no surprise that the non-uniform value representation has the largest influence, and only monomorphization schemes and hetero-to-homogeneous adapters vary in this particular group.
[1] https://github.com/golang/proposal/blob/master/design/generi...
[2] https://rust-lang.github.io/compiler-team/working-groups/pol...
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Backward Compatibility, Go 1.21, and Go 2
> I wonder: why not go further and say "there will never be a Go 2" in order to eliminate ambiguity about this?
They did, five years ago. Albeit with an “if”.
https://github.com/golang/proposal/blob/d661ed19a203000b7c54...
> If the above process works as planned, then in an important sense there never will be a Go 2. Or, to put it a different way, we will slowly transition to new language and library features. We could at any point during the transition decide that now we are Go 2, which might be good marketing. Or we could just skip it (there has never been a C 2.0, why have a Go 2.0?).
> Popular languages like C, C++, and Java never have a version 2. In effect, they are always at version 1.N, although they use different names for that state. I believe that we should emulate them. In truth, a Go 2 in the full sense of the word, in the sense of an incompatible new version of the language or core libraries, would not be a good option for our users. A real Go 2 would, perhaps unsurprisingly, be harmful.
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Why Turborepo is migrating from Go to Rust – Vercel
Go Team wanted generics since the start. It was always a problem implementing them without severely hurting compile time and creating compilation bloat. Rust chose to ignore this problem, by relying on LLVM backend for optimizations and dead code elimination.
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Major standard library changes in Go 1.20
As far as I can tell, the consensus for generics was "it will happen, but we really want to get this right, and it's taking time."
I know some people did the knee-jerk attacks like "Go sucks, it should have had generics long ago" or "Go is fine, it doesn't need generics". I don't think we ever needed to take those attitudes seriously.
> Will error handling be overhauled or not?
Error handling is a thorny issue. It's the biggest complaint people have about Go, but I don't think that exceptions are obviously better, and the discriminated unions that power errors in Rust and some other languages are conspicuously absent from Go. So you end up with a bunch of different proposals for Go error handling that are either too radical or little more than syntactic sugar. The syntactic sugar proposals leave much to be desired. It looks like people are slowly grinding through these proposals until one is found with the right balance to it.
I honestly don't know what kind of changes to error handling would appear in Go 2 if/when it lands, and I think the only reasonable answer right now is "wait and find out". You can see a more reasonable proposal here:
https://github.com/golang/proposal/blob/master/design/go2dra...
Characterizing it as a "lack of vision" does not seem fair here--I started using Rust back in the days when boxed pointers had ~ on them, and it seemed like it took Rust a lot of iterations to get to the current design. Which is fine. I am also never quite sure what is going to get added to future versions of C#.
I am also not quite sure why Go gets so much hate on Hacker News--as far as I can tell, people have more or less given up on criticizing Java and C# (it's not like they've ossified), and C++ is enough of a dumpster fire that it seems gauche to point it out.
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What's the status of the various "Go 2" proposals?
As it says on that page - those were not proposals. They were draft ideas to get feedback on. You can see the list of proposals in this repository: https://github.com/golang/proposal
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An alternative memory limiter for Go based on GC tuning and request throttling
Approximately a year ago we faced with a necessity of limiting Go runtime memory consumption and started work on our own memory limiter. At the same time, Michael Knyszek published his well-known proposal. Now we have our own implementation quite similar to what has been released in 1.18, but there are two key differences:
- Shaving 40% off Google’s B-Tree Implementation with Go Generics
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I did something evil
They actually didn't.
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On a potential "Partial Monomorphization"
Also take a look at https://github.com/golang/proposal/blob/master/design/generics-implementation-gcshape.md. This is a hybrid approach (like the one you're talking about) the Go compiler takes for its generics implementation. It uses GC allocation size classes ("shapes") to figure out how to group types that need to be monomorphized.
Nim
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Top Paying Programming Technologies 2024
22. Nim - $80,000
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"14 Years of Go" by Rob Pike
I think the right answer to your question would be NimLang[0]. In reality, if you're seeking to use this in any enterprise context, you'd most likely want to select the subset of C++ that makes sense for you or just use C#.
- Odin Programming Language
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Ask HN: Interest in a Rust-Inspired Language Compiling to JavaScript?
I don't think it's a rust-inspired language, but since it has strong typing and compiles to javascript, did you give a look at nim [0] ?
For what it takes, I find the language very expressive without the verbosity in rust that reminds me java. And it is also very flexible.
[0] : https://nim-lang.org/
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Nim
FYI, on the front page, https://nim-lang.org, in large type you have this:
> Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula.
Perhaps the Nim Github Wiki would be more to your liking? https://github.com/nim-lang/Nim/wiki
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Things I've learned about building CLI tools in Python
You better off with using a compiled language.
If you interested in a language that's compiled, fast, but as easy and pleasant as Python - I'd recommend you take a look at [Nim](https://nim-lang.org).
And to prove what Nim's capable of - here's a cool repo with 100+ cli apps someone wrote in Nim: [c-blake/bu](https://github.com/c-blake/bu)
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Mojo is now available on Mac
Chapel has at least several full-time developers at Cray/HPE and (I think) the US national labs, and has had some for almost two decades. That's much more than $100k.
Chapel is also just one of many other projects broadly interested in developing new programming languages for "high performance" programming. Out of that large field, Chapel is not especially related to the specific ideas or design goals of Mojo. Much more related are things like Codon (https://exaloop.io), and the metaprogramming models in Terra (https://terralang.org), Nim (https://nim-lang.org), and Zig (https://ziglang.org).
But Chapel is great! It has a lot of good ideas, especially for distributed-memory programming, which is its historical focus. It is more related to Legion (https://legion.stanford.edu, https://regent-lang.org), parallel & distributed Fortran, ZPL, etc.
- NIR: Nim Intermediate Representation
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Removing Garbage Collection from the Rust Language (2013)
20 milliseconds? On my 7 year old Linux box, this little Nim program https://github.com/c-blake/bu/blob/main/wsz.nim runs to completion in 275 microseconds when fully statically linked with musl libc on Linux. That's with a stripped environment (with `env -i`). It takes more like 318 microseconds with my usual 54 environment variables. The program only does about 17 system calls, though.
Additionally, https://github.com/c-blake/cligen makes decent CLI tools a real breeze. If you like some of Go's qualities but the language seems too limited, you might like Nim: https://nim-lang.org. I generally find getting good performance much less of a challenge with Nim, but Nim is undeniably less well known with a smaller ecosystem and less corporate backing.
What are some alternatives?
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
go - The Go programming language
Odin - Odin Programming Language
rust - Empowering everyone to build reliable and efficient software.
crystal - The Crystal Programming Language
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
haxe - Haxe - The Cross-Platform Toolkit
nimskull - An in development statically typed systems programming language; with sustainability at its core. We, the community of users, maintain it.
node - Node.js JavaScript runtime ✨🐢🚀✨
julia - The Julia Programming Language
NumPy - The fundamental package for scientific computing with Python.
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266