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.

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.

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.

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.

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.

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.

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.

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.

Chuck Moore, inventor of Forth, presents GreenArrays' 144-core asynchronous chip at Strange Loop 2013. He explains how idle cores draw almost no power and how tight code minimizes energy use.

Jack Rusher's Strange Loop 2022 talk argues that most programming languages are still designed around punchcard-era assumptions. He makes the case for live, interactive programming environments, drawing on Lisp, Smalltalk and REPL-driven development.

Chris Granger, creator of Light Table and the Eve language, gives a Berkeley data science lecture on what computation and programming might look like in ten years. He covers the path that led to Eve and ends with demos.

Part 4 of John Carmack's QuakeCon 2013 keynote, covering OpenGL, functional programming, Haskell, Lisp and Scheme, typing, multithreading, events and garbage collection.

Shriram Krishnamurthi's PWLConf 2019 talk on the formal notion of expressive power of programming languages, based on Felleisen's paper. It explains how to tell when a feature adds power by whether emulating it requires global rewriting.

Tom Wildenhain's guest lecture for CMU's Esoteric Programming Languages course shows that PowerPoint transitions and slides are Turing complete without macros, building up to a mind-bending fractal ending.

First lecture of MIT 6.00, an introductory computer science course taught in Python by Eric Grimson and John Guttag. It covers the goals of the course, what computation is, and data types, operators and variables.

Nada Amin's Strange Loop talk on programming languages that build on themselves, centered on towers of interpreters and nestable interpretation in Scheme. She shows how interpreters can be stacked and collapsed.

Dan Friedman and William Byrd demonstrate miniKanren, a logic programming system for Scheme, in an unconference talk. It includes generating programs by running relations in reverse.

A 1995 Sun Microsystems film about the Self programming language, a prototype-based Smalltalk relative, showing its live, graphical programming environment.

Chris Granger presents Eve, a programming environment designed to be approachable for humans, at Strange Loop 2015. The talk covers the project's approach and design ideas.

The Signal Path takes apart a Starlink dish layer by layer, analyzing the phased array RF design, system architecture and integrated circuits, with an X-ray of the RF stack.

Douglas Crockford's code::dive 2022 talk on what the next programming language should look like. He presents ideas behind his Misty language, including message-passing actors.

Gerald Jay Sussman speaks at Dan Friedman's 60th birthday celebration about how programming helps formulate and clarify ideas. He argues that ambiguous mathematical notation hinders understanding.

Bret Victor's talk at CUSEC 2012 in which he argues that creators need immediate feedback and should organize their work around a guiding principle. He demonstrates live-coding and animation tools that show results as you type, and describes his own principle that creators must see what they are making.

Christian Schafmeister's Google Tech Talk on designing spiroligomer molecules and building Clasp, a Common Lisp on LLVM that interoperates with C++, to program molecular design. It covers the chemistry, automatic differentiation for force fields, and how the compiler is built.

Chris Ford builds up from a single sine wave through layered abstractions to a Bach canon, using Clojure and the Overtone audio environment. The talk shows music theory as a natural fit for functional programming.

Evan Czaplicki's Strange Loop 2014 talk surveys the many formulations of functional reactive programming and how they relate historically and theoretically. It then shows how Elm's variant enables hot-swapping and its time-traveling debugger.

Brian Will follows up his earlier anti-OOP video by walking through four short code examples, including Java code in the style of Uncle Bob, to show how object-oriented design complicates simple programs. It argues that OOP hides and scatters state and adds needless indirection.

Tom Stuart's Ruby Manor 3 talk builds FizzBuzz using nothing but Ruby lambdas, working through Church encodings of numbers, booleans and data structures. It is a hands-on introduction to lambda calculus.