object-oriented programming

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.

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.

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.

Sandi Metz takes an ugly section of conditional code and refactors it into a few simple objects, bridging object-oriented theory and practice. The talk includes her take on the Gilded Rose refactoring kata and the idea that duplication is cheaper than the wrong abstraction.

An Alan Kay talk on programming and scaling, covering theoretical limits of code size, engineering versus tinkering, and biological cells as inspiration for object-oriented design.

Sandi Metz argues that hidden assumptions in code are missing concepts, and shows how to name and expose them so code is easier to understand and change. It covers null objects and messages in Ruby.

Noel Rappin's MountainWest RubyConf talk introduces Smalltalk to Ruby programmers. He compares the two languages' object models, blocks, 1-based arrays, simple syntax and live programming environment, and walks through sample code.

Andrew Kelley, creator of Zig, presents practical data-oriented design techniques for shrinking memory footprint and making programs cache friendly. He ends with a case study of how these ideas sped up the Zig compiler.

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.

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.

Misko Hevery's Clean Code Talk shows how to use object-oriented techniques such as polymorphism to remove repeated if and switch statements. The result is code that is easier to test, understand and maintain.

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.

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.

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.

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.

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.

Mark Bastian contrasts top-down object-oriented design with bottom-up, data-oriented design in Clojure. He models a board game as plain data plus small composable functions and compares it with a roughly 22-class OOP version.

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.

Jack Diederich's PyCon 2012 talk argues that classes are overused in Python and walks through real code, refactoring away unnecessary classes, exceptions and modules. It popularized the heuristic that a class with two methods, one being __init__, should be a function.

Sandi Metz's RailsConf 2013 talk offers practical guidelines for deciding what to test and how, so tests stay cheap and stable. She argues for testing the public interface rather than implementation and using mocks appropriately.

Casey Muratori shows how typical 'clean code' object-oriented patterns can cost large factors in performance. He benchmarks them against simpler data-oriented code.

Stuart Sierra presents the Component library for Clojure, a way to manage stateful services like database connections and thread pools without global mutable state. He draws on both functional and object-oriented principles.

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.

Jonathan Blow talks at Gamelab 2018 about the design decisions behind Jai, the programming language he is building for game programmers. He covers low-friction development, quality of life and the effects of compile times.

Smalltalk pioneer Dan Ingalls presents the Lively Kernel at JSConf US 2012, a live, direct-manipulation programming environment running in the browser. He shows drag-and-drop building of live objects on the web.

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.