The Array Cast cover image

The Array Cast

Learning and Teaching Array Programming

Jul 8, 2023

Ken Iverson, a renowned figure in the field of array programming, discusses learning and teaching array programming languages. The speakers explore different approaches to learning array languages and the challenges involved in transitioning from other programming paradigms. They emphasize the importance of mentorship and mention various educational resources. The chapter also delves into the advantages and disadvantages of different teaching methods, including tutorials, videos, and diagrams. The speakers highlight the excitement of working with QV code and the benefits of interpreted array languages. They also touch upon the challenges of working with fixed recordings and the process of choosing between different approaches to problem-solving.

01:02:38

Creator website

Episode guests

AI Summary

AI Chapters

Episode notes

Podcast summary created with Snipd AI

Quick takeaways

Working with a mentor or partner can facilitate learning array languages through guidance and collaboration.

Hands-on learning, such as solving programming problems, participating in online classes, or using interactive tutorials, is effective for learning array languages.

Using diagrams to visualize code can enhance comprehension and communication in array programming.

Deep dives

Learning array languages through mentorship and pair programming

One effective way of learning array languages is through mentorship and pair programming. Working with a mentor or a partner who has experience in the language can provide guidance, help navigate challenges, and foster a collaborative learning environment.

1.

Introduction

2min

2.

Upcoming User Meeting, Steven's Bicycle Trip, and Connor's Surprise Appearance

2min

3.

Discussing Slovenia, Jellyfish, and Stephen's Trip Results

1min

4.

Approaches to Learning Array Programming Languages

12min

5.

Learning and Teaching Array Programming

9min

6.

The Challenges and Advantages of Learning and Teaching through Tutorials, Documentation, Videos, and Diagrams

14min

7.

Discovering the Excitement of Working with QV Code and the Advantages of Interpreted Array Languages

2min

8.

Working with Fixed Recordings and the Challenges of Choosing Versions

2min

9.

Choosing between different approaches

19min

Array Cast - July 7, 2023
Show Notes

Thanks to Bob Therriault, Stephen Taylor, Richard Park and Marshall Lochbaum for gathering these links:

[01] 00:01:55 Dyalog 23 User Meeting https://www.dyalog.com/user-meetings/dyalog23.htm

[02] 00:04:56 Shakti DB https://shakti.com/

[03] 00:05:37 Episode 56 (previous episode) https://www.arraycast.com/episodes/episode56-why-we-like-array-programming

[04] 00:07:13 Ken Iverson https://en.wikipedia.org/wiki/Kenneth_E._Iverson

TryAPL https://tryapl.org/

[05] 00:08:25 Computing language paradigms https://en.wikipedia.org/wiki/List_of_programming_languages_by_type

Procedural Programming https://en.wikipedia.org/wiki/Procedural_programming

Functional Programming https://en.wikipedia.org/wiki/Functional_programming

Object Oriented Programming https://en.wikipedia.org/wiki/Object-oriented_programming

Array Programming https://en.wikipedia.org/wiki/Array_programming

[06] 00:11:30 BQN programming language https://mlochbaum.github.io/BQN/

Dyalog APL programming language https://www.dyalog.com/

J programming language https://www.jsoftware.com/#/

k programming language https://aplwiki.com/wiki/K

q programming language https://trykdb.kx.com/kx/signup/

[07] 00:14:41 APL farm https://aplwiki.com/wiki/APL_Farm

J forums https://code.jsoftware.com/wiki/System/Forums

BQN forums https://app.element.io/#/room/#bqn:matrix.org

[08] 00:16:30 kx.com

[09] 00:18:50 SQL https://en.wikipedia.org/wiki/SQL

[10] 00:21:42 Richard's videos https://dyalog.tv/Webinar/?v=AGWnBw7VBzg

Dyalog tutorial https://tutorial.dyalog.com/

Dyalog course https://course.dyalog.com/

Stefan Kruger Learn APL https://xpqz.github.io/learnapl

Stefan Kruger K book (WIP) https://github.com/xpqz/kbook

[11] 00:26:00 BQN support of paradigms https://mlochbaum.github.io/BQN/doc/paradigms.html

BQN tutorials https://mlochbaum.github.io/BQN/tutorial/index.html

[12] 00:29:30 Scratch programming language https://scratch.mit.edu/

Blockly https://developers.google.com/blockly

draw.io https://app.diagrams.net/

[13] 00:31:05 Phrasal forms paper https://www.jsoftware.com/papers/fork.htm

https://mlochbaum.github.io/BQN/doc/map.html#table

https://mlochbaum.github.io/BQN/doc/tacit.html#combinators

[14] 00:32:03 APL Show podcast https://apl.show/2023/01/27/Processes-and-Structures.html

[15] 00:35:25 q diagrams https://code.kx.com/q/ref/uj/

https://code.kx.com/q/ref/maps/#each-left-and-each-right

[16] 00:38:27 Morten Kromberg ArrayCast episode https://www.arraycast.com/episodes/episode21-morten-kromberg

Bricolage https://en.wikipedia.org/wiki/Bricolage

[17] 00:40:44 Interpreted programming languages https://en.wikipedia.org/wiki/Interpreter_(computing)

[18] 00:48:43 J labs https://code.jsoftware.com/wiki/Guides/StudioForExplorers

Jupyter notebooks https://jupyter.org/

[19] 00:49:53 Stephen's contact SJT@5jt.com

J playground https://code.jsoftware.com/wiki/Playground

tryAPL https://tryapl.org/

apl.chat https://apl.chat/

apl.orchard https://aplwiki.com/wiki/APL_Orchard

aplquest https://aplwiki.com/wiki/APL_Quest

Adám's APL https://www.youtube.com/@abrudz

try.html https://mlochbaum.github.io/BQN/try.htm

l
BQNpad https://bqnpad.mechanize.systems/

[20] 00:55:25 Dyalog https://www.dyalog.com/

[21] 00:56:28 Advent of Code BQN https://mlochbaum.github.io/BQN/community/aoc.html

Share my Screen J Advent of Code https://code.jsoftware.com/wiki/ShareMyScreen

[22] 00:57:18 APLCart https://aplcart.info/

BQNCrate https://mlochbaum.github.io/bqncrate/

J phrases https://code.jsoftware.com/wiki/Phrases

[23] 00:59:23 KAP programming language https://aplwiki.com/wiki/KAP

Structure Viewer https://peertube.functional.cafe/w/cDGqr9FmQoR2RyMGBTCZZK

[24] 01:01:37 Contact AT ArrayCast DOT Com

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.

App store banner

Play store banner