Array Cast - December 9, 2022
Show Notes
Thanks to Bob Therriault, Adám Brudzewsky, Stephen Taylor and Nick Psaris for gathering these links:
[01] 00:01:50 APLNAATOT podcast #4 https://www.youtube.com/watch?v=SxSd2Hma_Ro&list=PLYKQVqyrAEj8Q7BdOgakZCAGf6ReO1cue
Naming the APLNAATOT podcast twitter https://twitter.com/a_brudz/status/1600523637253185541
[02] 00:03:44 Advent of Code (AOC) Links
BQN Solutions https://mlochbaum.github.io/BQN/community/aoc.html
APL Wiki Advent of Code: https://apl.wiki/aoc
K Wiki Advent of Code: https://k.miraheze.org/wiki/Advent_of_Code
[03] 00:04:40 q AOC list http://github.com/qbists/studyq/
[04] 00:06:20 Parsing the input for AOC in APL video https://www.youtube.com/watch?v=AHoiROI15BA
Jay Foad's solution to day 6 https://github.com/jayfoad/aoc2022apl
[05] 00:07:45 Nick Psaris episodes of the ArrayCast
https://www.arraycast.com/episodes/episode-02-challenges-facing-the-array-languages
https://www.arraycast.com/episodes/episode-03-what-is-an-array
https://www.arraycast.com/episodes/episode-04-responding-to-listeners-email
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/
[06] 00:09:33 Atar1 800
