array programming

Aaron Hsu's FnConf18 talk asks whether APL needs a static type system. He argues that APL's expressiveness and rapid iteration already deliver the benefits usually credited to types.

Aaron Hsu explains why programmers often find APL harder to learn than people with no programming background. He identifies eight patterns that contrast traditional software engineering practice with APL practice, starting from Ken Iverson's language design principles.

Felienne Hermans argues that Excel is the world's most popular programming language and shows how spreadsheets work as a pure functional language. She implements a few mathematical problems in spreadsheet formulas to illustrate why they are so powerful and approachable.

Aaron Hsu shows how to manipulate and transform tree data in APL using arrays and inverted tables instead of pointers. He claims much smaller code, better performance and easier parallelisation.

Felienne Hermans presents Hedy, a gradual programming language for teaching kids that moves through levels from almost no syntax toward full Python. The talk covers why error messages and syntax are scary for beginners.

Jonathan Blow's Reboot Develop 2017 talk on making game programming less terrible, discussing software bloat, slowness and the design goals behind his own programming language.

A roughly ten-minute demo of Microsoft's Intentional Programming research system, showing its editor and an unusual way of working with code. It is the first of two clips cut from a longer video.

A one-minute clip of Peter Norvig saying that Google found programming contest success correlates negatively or poorly with job performance. The description links to a blog post discussing it.

A 1987 talk in which John Backus, creator of Fortran, presents function-level programming and the FL language, a successor to his FP work. It is an archival recording with links to the related paper.

A panel from the Lang NEXT 2014 conference on systems programming in 2014 and beyond. Language designers including Bjarne Stroustrup and Rob Pike discuss the topic, including C++ header compile times.

Part 2 of an old Microsoft Research demo of Intentional Programming, showing the compiler side of a system that stores programs as abstract structure rather than text. The uploader says the companion editor clip is clearer.

Richard Feldman argues that functional programming is not the norm largely because of historical accidents, such as C++ popularity, platform exclusivity, marketing spend and network effects, rather than merit. He traces the history of how languages become mainstream.

Bret Victor's DBX 2013 talk, delivered in the guise of a 1973 IBM engineer with an overhead projector. It surveys forgotten ideas from 1960s and early 70s computing and warns against assuming you know what you're doing.

A short Dyalog demonstration building Conway's Game of Life in a single line of APL, step by step. It shows how array operations replace loops.

Robert C. Martin (Uncle Bob) traces the history of software from 1948 to today, looking at the problems programmers faced, how they were solved, and what mistakes the profession made. He then projects where the field is going, including professionalism and regulation.

Brian Will makes the case for procedural programming over object-oriented programming, arguing that OOP's promised encapsulation and decoupling are largely illusory. He analyzes real code examples and the problems of tying data to behavior in classes.

Felienne Hermans's Strange Loop keynote on the history and pedagogy of teaching programming. She questions exploration-only approaches like Logo and discusses research supporting explicit instruction and rote practice.

A SXSW talk by W Watson that uses Lacanian psychoanalysis, with nods to Zizek, to critique popular programming languages. It argues that people choose and defend languages for emotional and ideological reasons rather than rational ones.

Timothy Daly, an original author of the Axiom computer algebra system, talks about turning a large Common Lisp codebase into a literate program. He argues code should be written as readable manuals, and the talk was given at Write the Docs 2013.

The first lecture of Stanford's CS107 Programming Paradigms, taught by Jerry Cain, giving an overview of the course. The course goes from C and assembly through C++, concurrency, Scheme and Python.

Kevlin Henney argues that procedural programming never went away despite later paradigms such as OO and functional. He traces the history of structured programming and shows where procedural thinking still lives in modern code and why it matters for readability.

The Thought Emporium builds a homemade multi-electrode array, grows human neurons on it and attempts to take readings. It is the first part of a series aimed at connecting living neurons to a computer.

The first part of a series on programming in Jai, Jonathan Blow's in-development language. It covers compiling, writing hello world and using code from other files.

Brian Will critiques object-oriented programming and rewrites a roughly 3800-line OO program in a procedural style, cutting code and complexity. It is part of a series of OOP critiques.

First lecture of Stanford's CS106A Programming Methodology by Mehran Sahami, giving a course overview and starting on programming. The course teaches software engineering principles using Java.

Kevlin Henney revisits structured programming, from Go To Statement Considered Harmful to block-structured code and object orientation. He argues it still matters for how we write code today.

The creator of ESPARGOS, an ESP32-based antenna array from the University of Stuttgart, explains how it senses phase and amplitude of WiFi signals to localize devices and build a WiFi camera. It demos the Python library and project.

Brian Kernighan's 2009 talk at Princeton on the Elements of Programming Style, discussing readable code, avoiding cleverness and flawed examples in programming tutorials.

An animated ranking of the most popular programming languages from 1965 to 2019, built from popularity indexes, GitHub access data and historical surveys.

Steven G. Johnson, MIT professor and FFTW co-author, gives a JuliaCon 2019 keynote on metaprogramming and staged programming in Julia, showing how it enables high-performance numerical code and when not to use macros.

Jim Weirich's RubyConf 2012 talk derives the Y combinator step by step, live-coding in Ruby lambdas. It builds up an understanding of functional programming and lambda calculus from first principles.

Evan Czaplicki, creator of Elm, examines how programming languages are funded. He looks at where compiler engineers' salaries come from, why Go has about 5 engineers while Dart has about 30, and how this limits language design.

Andrew Kelley, creator of Zig, introduces the language at the Recurse Center's Localhost series in 2018. He covers its goals of robustness, optimality and clarity, C interop, cross-compilation and explicit allocators.

Paul Chiusano's Strange Loop 2019 talk introduces Unison, an open-source functional language for distributed, elastic systems. It covers content-addressed code identified by hashes of the syntax tree, a codebase manager, and algebraic effects called abilities.

The first video in Photon of Scoopex's Amiga hardware programming series. It shows how to set up an assembler and write a minimal 68000 program that waits for a left mouse click.

A Dyalog demonstration of developing a Sudoku solver in APL, using an algorithm by Arthur Whitney with performance work by John Scholes. The narration steps through the array-oriented solution.

Erik Demaine's MIT 6.006 lecture introducing dynamic programming through Fibonacci numbers and shortest paths. It covers memoization, subproblems and optimal substructure.

Aditya Siram introduces ATS, a statically typed ML-like language that compiles to C and offers type-safe pointer arithmetic and a full proof language. The Strange Loop talk shows off C interop, concurrency and verification features with non-trivial examples.

Tef's EMF 2012 talk on lessons from a career in programming, a candid and humorous look at why programming is so often terrible. Slides and a draft script are available online.

Guy Steele's Strange Loop 2010 talk argues that programmers should not have to think about parallelism, and that languages should support algorithms built on independence and divide-and-conquer. He also recounts fitting a program onto a single punch card.