klongpy

re APL: BQN is a new take on APL w/ high performance implementation https://mlochbaum.github.io/BQN/ Dyalog APL is a well supported proprietary APL implementation https://www.dyalog.com re open source k implementations: there are many by now here is a current non-exhaustive list grouped by k dialect they orbit (to my understanding) k9 ktye (Go w/ Go, wasm, C targets) https://github.com/ktye/i k6 ngn/growler (C): https://codeberg.org/growler/k oK (JavaScript): https://github.com/JohnEarnest/ok kiwi (Zig): https://github.com/kiwi-array-lang/kiwi k3 kona (C): https://github.com/kevinlawler/kona gk (C): https://github.com/cmh25/gk ksharp (C#): https://github.com/ERufian/ksharp k-like goal (Go): https://codeberg.org/anaseto/goal klongpy (Python) https://github.com/briangu/klongpy I'm working on kiwi. kiwi has a focus on supporting Apple Silico

Hello HN! I had some free time so I have been upgrading KlongPy. KlongPy now supports PyTorch as a backend and autograd over the array language. A while back someone on HN thought it would be cool to have Klong support autograd and I also thought that would be cool. There's a lot of examples in https://github.com/briangu/klongpy/tree/main/examples/autogr... but here's a taste: f::{x^2} :" Define f(x) = x^2 f:>3 :" Compute f'(3) = 6.0 Looking for feedback on new operators and any obvious gaps. Thanks! updated github pages: https://klongpy.org repo: https://github.com/briangu/klongpy

"already": APL dates back to about 1966, and even K from 1993 predates Numpy and Julia. But yes, we do not live in caves and are familiar with these languages. Klong has even been implemented in Numpy, see https://github.com/briangu/klongpy.

There is at least one project that managed to take the Iverson ghost[1] from Numpy and actually implement a complete array language[2] on top of it, so there is no need to stray far away from Python's ecosystem. Previous discussion: https://news.ycombinator.com/item?id=42293723 [1] https://analyzethedatanotthedrivel.org/2018/03/31/numpy-anot... [2] https://github.com/briangu/klongpy

People actually managed to channel the APL hidden under numpy into a full array language implemented on top of it: https://github.com/briangu/klongpy

Well, there's KlongPy[1]. While not APL, it is built on top of Python and manages to turn NumPy from "Iverson Ghost"[2] status into Klong[3], a proper array language. [1] https://github.com/briangu/klongpy [2] https://analyzethedatanotthedrivel.org/2018/03/31/NumPy-anot... [3] https://t3x.org/klong/

Is the full rendered documentation available anywhere? https://github.com/briangu/klongpy/blob/main/docs/quick-star... links to an "API Reference" and a "REPL Reference", but the links are broken.

Since NumPy is called out here, I wrote an example in KlongPy which is NumPy backed and got about 1ns/iter on my M2 Studio: dot::{+/xy};mag::{(+/xx)^0.5};cossim::{dot(x;y)%mag(x)*mag(y)};cd::{1-cossim(x;y)} https://github.com/briangu/klongpy/blob/main/examples/ml/cos...