BorrowScript
Petalisp
BorrowScript | Petalisp | |
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9 | 17 | |
1,432 | 425 | |
- | - | |
5.5 | 8.5 | |
6 months ago | about 2 months ago | |
HTML | Common Lisp | |
- | GNU Affero General Public License v3.0 |
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BorrowScript
- TypeScript Without Side Effects
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Is it possible to have a superset of the C programming languages standard that is as safe as Rust?
You might be looking for something like https://github.com/alshdavid/BorrowScript
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Why are systems languages always overly complex?
I think AssemblyScript is the best example.
Adding the borrow checker is quite invasive though. This guy is trying https://github.com/alshdavid/BorrowScript.
I think it's a kind of fun constraint that experienced and bored devs like to challenge themselves with - the borrow checker. The latest obsession. You absolutely don't need a borrow checker, just like you didn't need everything to be functional programming, but it's intellectually stimulating.
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TypeScript as Fast as Rust: TypeScript++
Sounds like BorrowScript, which is TypeScript syntax, a Rust borrow checker, and Go-like coroutines. It's designed for wasm and web api targets. (not compatible with TypeScript though)
https://github.com/alshdavid/BorrowScript
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High level overview of the algorithm steps of Rust's borrow checker?
I asked how to implement a "borrow checker" in JavaScript in my initial attempts (I've learned a decent amount since), which led me to randomly finding BorrowScript that seems to have another implementation I think, so going to be taking a deeper look there for inspiration as well. But if one could explain the steps of the algorithm, and how it integrates/relates with the type inference process, that would be of great use. Not for learning how to use Rust, but to learn how this aspect of its compiler works.
- Rust-inspired borrow checker, TypeScript-inspired syntax
- BorrowScript: TypeScript with a Borrow Checker
- BorrowScript (spec) – Combining the Rust borrow checker with TypeScript syntax
- BorrowScript spec – Combining the Rust borrow checker with TypeScript syntax
Petalisp
- Petalisp: Elegant High Performance Computing
- Is there a tutorial for automatic differentiation with petalisp?
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Is there a language with lisp syntax but C semantics?
While not "as fast as C" (C is not the absolute pinnacle of performance), Common Lisp is incredibly fast compared to the majority of programming languages around today. There is even a huge amount of ongoing work being done to make it faster still. We are seeing many interesting projects that make better use of the hardware in your computer (e.g. https://github.com/marcoheisig/Petalisp).
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Common Lisp Implementations in 2023
i think lisp-stat library is actually being developed. however one numerical cl library that doesnt get enough mention and is being constantly developed is petalisp for HPC
https://github.com/marcoheisig/Petalisp
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numericals - Performance of NumPy with the goodness of Common Lisp
However, if you have a lisp library that puts those semantics to use, then you could get it to employ magicl/ext-blas and cl-bmas to speed it up. (petalisp looks relevant, but I lack the background to compare it with APL.)
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New Lisp-Stat Release
> his means cl pagckages can be "done".
this is true if there is nothing functional that can be added to a package. however its very much not true for ml frameworks right now. new things are being added all the time in the field. however even in the package i linked you have the necessary ingredients for any deep learning model: cuda and back propagation. the other person mentioned convolution which i think is pretty trivial to implement but still, if you expect everything for you to be ready made then you should probably stick to tf and pytorch. if you want to explore the cutting edge and push the boundaries then i think common lisp is a good tool. as an aside it might also be interesting to note that a common lisp package (Petalisp) is being used for high performance computing by a german university
https://github.com/marcoheisig/Petalisp
- The Julia language has a number of correctness flaws
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When a young programmer who has been using C for several years is convinced that C is the best possible programming language and that people who don't prefer it just haven't use it enough, what is the best argument for Lisp vs C, given that they're already convinced in favor of C?
One trick is that Common Lisp can generate and compile code at runtime, whereas static languages typically do not have a compiler available at runtime. This lets you make your own lazy person's JIT/staged compiler, which is useful if some part of the problem is not known at compile-time. Such an approach has been used at least for array munging, type munging and regular expression munging.
What are some alternatives?
cyclone - Cyclone is a type- and memory-safe dialect of C
awesome-cl - A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
Mezzano - An operating system written in Common Lisp
JWM - Cross-platform window management and OS integration library for Java
lobster - The Lobster Programming Language
cl-cuda - Cl-cuda is a library to use NVIDIA CUDA in Common Lisp programs.
swc - Rust-based platform for the Web
magicl - Matrix Algebra proGrams In Common Lisp.
ValueScript - A dialect of TypeScript with value semantics.
lish - Lisp Shell
DMDScript - An implementation of the ECMA 262 (Javascript) programming language
StatsBase.jl - Basic statistics for Julia