APL: You need a special keyboard to program in this language (S04E06)

The Technium

APL is an array based programming language developed by Kenneth Iverson in the 1960s. Its central data type is the multi-dimensional array and hence it's very useful for workloads involving a lot of matrix math. APL predominantly uses symbols and it leverages consistent composability and execution rules to enable it as a notation as a tool for thought.

Links/Resources:
* https://mathspp.com/blog/why-apl-is-a-language-worth-knowing
* https://www.quora.com/What-made-APL-programming-so-revolutionary?share=1
* https://tryapl.org/
* A Personal View of APL
* Notation as a Tool for Thought
* Heaviside Operator Calculus
* Conway’s Game of Life in APL
* Maxwell’s Equations: From 20 to 4
* Alan Kay’s answer to “What made APL so revolutionary?”
* Testimonies
* https://news.ycombinator.com/item?id=27463149
* https://news.ycombinator.com/item?id=27464005
* https://news.ycombinator.com/item?id=27465512
* https://github.com/razetime/ngn-k-tutorial/blob/main/01-intro.md
00 - Objectives and Prerequisites | "Learn APL with Neural Networks"
https://dl.acm.org/doi/pdf/10.1145/3315454.3329960

Chapters:
[00:00:00] Intros
[00:03:36] What is APL?
[00:05:42] Yes, it uses weird symbols
[00:06:51] A language should change your thinking
[00:13:08] Notation as a tool of thought
[00:20:33] Connections to functional programming
[00:28:23] What it feels like to program in APL
[00:33:10] APL and IBM = big bucks
[00:35:20] The echos of APL in modern data science tools
[00:43:52] APL for big data pipelines
[00:48:56] APL for Machine learning
[00:54:59] APL for JSON manipulation
[01:03:18] APL as a spreadsheet language
[01:16:11] Superhuman programming: APL and LLMs
[01:26:59] Making APL more explainable
[01:38:18] Outro

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