APL deserves its Renaissance too

• BQN

  49 831 8.9 KakouneScript

  An APL-like programming language. Self-hosted!

There is a lot of development happening in the area of APL-insipred programming languages.

I've spent far too much time working on an APL dialect that allows you to combine APL with imperative structures at the same time. I really need to document it better though. https://aplwiki.com/wiki/KAP

Then there is April, which is a very neat version of APL that is implemented in Common Lisp. It allows you to miss Lisp arrays with APL arrays, giving you the best of both worlds. It's very functional even now: https://github.com/phantomics/april

And of course, BQN is a new language that takes a lot of the good ideas from APL but also changes a lot of the symbols. It's a very nice language: https://mlochbaum.github.io/BQN/

• april

  52 580 7.3 Common Lisp

  The APL programming language (a subset thereof) compiling to Common Lisp.

There is a lot of development happening in the area of APL-insipred programming languages.

I've spent far too much time working on an APL dialect that allows you to combine APL with imperative structures at the same time. I really need to document it better though. https://aplwiki.com/wiki/KAP

Then there is April, which is a very neat version of APL that is implemented in Common Lisp. It allows you to miss Lisp arrays with APL arrays, giving you the best of both worlds. It's very functional even now: https://github.com/phantomics/april

And of course, BQN is a new language that takes a lot of the good ideas from APL but also changes a lot of the symbols. It's a very nice language: https://mlochbaum.github.io/BQN/

• WorkOS

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• duckyPad

  21 1,145 7.8 C

  Do-It-All Mechanical Macropad

• adventofcode

  718 65 9.0 Scala

  Advent of Code solutions of 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023 in Scala (by sim642)

The only time I see APL is each year during Advent of Code – https://adventofcode.com/ – APL users always pop up and manage to solve the most complex of tasks with about ten symbols versus everyone else's 50 lines of Python :-)

• ivy

  13 1,297 8.0 Go

  ivy, an APL-like calculator (by robpike)

I enjoyed russ cox's advent of code series using rob pike's ivy (https://github.com/robpike/ivy), an apl-like calculator

https://www.youtube.com/playlist?list=PLrwpzH1_9ufMLOB6BAdzO...

• array-language-comparisons

  1 129 6.8 Cuda

  A comparison of array languages & libraries: APL, J, BQN, Uiua, Q, Julia, R, NumPy, Nial, Futhark, Dex, Ivy, SaC & ArrayFire.

> Its powerful array manipulation primitives can easily be brought forward into a language with modern syntax, and haven't they?

Kind of. The languages that one might expect to do this (Julia, R, NumPy) have picked out a few things from APL in an inconsistent way, leaving a lot as well. For example most are missing the generalization of prefix sum that APL calls "scan". So in [0], Conor was able to translate some code to every APL-family language but not yet any of the ones that aren't directly APL-influenced. Another one, I don't think I've ever seen Replicate[1] outside the APL family. It's a generalization of filter to take an arbitrary count instead of 0 or 1 that's often useful if you know about it.

[0] https://github.com/codereport/array-language-comparisons/blo...

[1] https://mlochbaum.github.io/BQN/doc/replicate.html

• pygraphblas

  7 338 0.0 Python

  GraphBLAS for Python

  

Yes, multiplying graph adjacency matrices over a min-tropical semiring produces shortest paths. APL supports this syntactically, but how does it function in the real world? What if the matrices are extremely sparse, like almost all real world graphs are? Syntax is the easy the problem. The hard problem is having very sparse graphs with billions of nodes and many billions of edges. How is your square matrix going to deal with that? Sparse and hypersparse graph computing is hard, which is not syntactically relevant.

Python does not have this terse a syntax, but it gets very close with multiple bindings to the SuiteSparse GraphBLAS Hypersparse graph processing libraries, which intrinsically supports sparse graphs and a very large number of operators, including the tropical min/max ones. Suitesparse doesn't provide syntax (that's the easy part), it provides the hard part, sparse and hypersparse data structures and very complex dynamic, parallel graph processing optimizations including JIT compilation of GPU accelerated operations.

Here's a notebook that shows your shortest path example using Python and the GraphBLAS. While it's a trivial example, it can scale the the largest graphs possible to use today using SuiteSparse:

https://github.com/Graphegon/pygraphblas/blob/main/demo/Intr...

• InfluxDB

  www.influxdata.com sponsored

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• duckduckgo-locales

  2,076 94 0.0 Perl

  Translation files for <a href="https://duckduckgo.com"> </a>

  

Aaron Hsu tried with some level of success.

https://duckduckgo.com/?q=aaron+hsu+apl&t=ffab&iax=videos&ia...

• jkernel-docker

  1 0 10.0 Dockerfile

  JKernel Docker Image Source

I put this together about a year ago to run J/Jupyter in binder https://github.com/joebo/jkernel-docker

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