Array Cast - Show June 12, 2021 Notes

10 Most(ly Dead) Influential Programming Languages
https://www.hillelwayne.com/post/influential-dead-languages/

Pharo Launcher
https://pharo-project.github.io/pharo-launcher/

tatin APL Package Manager in Development
https://tatin.dev/

J addons
https://code.jsoftware.com/wiki/Addons/Developers_Guide

Adam’s Style Guide for APL
https://abrudz.github.io/style/

Design Patterns vs Anti pattern in APL Aaron W Hsu
https://www.youtube.com/watch?v=v7Mt0GYHU9A

APLcart
https://apl.wiki/APLcart

J phrases
https://www.jsoftware.com/help/phrases/contents.htm

J phrases Permutations
https://www.jsoftware.com/help/phrases/permutations.htm

J Stats addons for Histograms
https://code.jsoftware.com/wiki/Addons/stats/base

Dyalog APL D-functions
https://apl.wiki/Dfn

Q Tips by Nick Psaris
https://www.goodreads.com/book/show/25221469-q-tips

J Locales
https://code.jsoftware.com/wiki/Vocabulary/Locales

J z-Locale
https://code.jsoftware.com/wiki/Vocabulary/ZeeLocale

Henri Brudzewsky’s Patented Slogan
https://codegolf.stackexchange.com/q/119361/43319

Family Tree of Array Languages
https://aplwiki.com/wiki/Family_tree_of_array_languages

Shakti
https://shakti.com/

Lambda in Microsoft Excel
https://www.microsoft.com/en-us/research/blog/lambda-the-ultimatae-excel-worksheet-function/

Kx in Academia
https://kx.com/blog/kx-in-academia-carnegie-mellon-university-teaching-with-kdb/

Dyalog for the Raspberry Pi
https://www.dyalog.com/dyalog/raspberry-pi.htm

Code Golf
https://apl.wiki/Code_golf

CoRecursive Episode with Conor Hoekstra
https://corecursive.com/065-competitive-coding-with-conor-hoekstra/

Advent of Code
https://apl.wiki/Advent_of_Code

tryAPL.org
https://tryapl.org/

Books by Nick Psaris

Q Tips
https://www.goodreads.com/book/show/25221469-q-tips

Vector Review of Q tips
https://vector.org.uk/book-review-q-tips-fast-scalable-and-maintainable-kdb-2/

Fun Q
https://www.amazon.com/dp/1734467509

Vector Review of Fun Q
https://vector.org.uk/book-review-fun-q-a-functional-introduction-to-machine-learning-in-q/