php

Aaron Francis walks through how PHP has changed from 2012 to 2023, covering traits, array destructuring, generators, typed properties and more. It is a quick chaptered tour of modern PHP features.

Rasmus Lerdorf marks 25 years of PHP at phpday 2019 with a look at the highlights and lowlights of the language. He argues for upgrading PHP versions, covering performance, static analysis, zero-cost profiling and dead code elimination.

Julien Verlaguet of Facebook describes applying static analysis and type inference to a very large PHP codebase, using OCaml. The work led to the Hack language.

Paul Biggar's Google Tech Talk on compiling and optimizing scripting languages, drawn from his work on the phc ahead-of-time PHP compiler. He covers runtime typing, aliasing and code generation challenges, and argues AOT can compete with JIT.

Richard Feldman's GOTO Copenhagen 2022 talk on why dynamic languages like Python, Ruby, PHP and JavaScript rose in the 1990s and why each now has a popular static type checker. It argues that modern static typing recovers the advantages that made dynamic languages attractive.

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.

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

Armin Ronacher, creator of Flask, explains how CPython's internals and C API leak into the language's semantics. Using examples like the complexity of the add operation, he shows why Python is hard to optimize or reimplement.

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.

Philip Roberts explains the JavaScript event loop, call stack, callbacks and asynchronous behavior with live visualizations using a tool he built. It demystifies terms like non-blocking and single-threaded.

Joshua Bloch's Google Tech Talk on how to design good APIs and why it matters, with concrete principles and examples. It treats every programmer as an occasional API designer.

Tom Scott explains for Computerphile why handling time and timezones in code is so hard, walking through a simple web app that computes how long ago something happened. It covers the quirks of timezones and calendars and ends in an exasperated rant.

Sam Stephenson's RailsConf 2016 talk on Turbolinks 5, showing how small teams can ship fast Rails apps in the browser and hybrid iOS and Android apps sharing one set of web views.

Robert C. Martin's Ruby Midwest 2011 keynote argues that software architecture should express the application's intent rather than its framework. He covers separating entities, interactors and boundaries so the web, database and framework are details.

Douglas Crockford's 2009 Google tech talk on the good and bad parts of JavaScript, based on his book. He argues for using a reliable subset of the language and avoiding its flawed features.

Java Language Architect Brian Goetz talks at a Clojure conference about the challenges of evolving a mature language like Java while preserving compatibility with existing code and developer expectations. It also gives a look at where the platform is headed.

Tavis Rudd describes how RSI forced him to program by voice, and shows the Python and Emacs Lisp system he built with voice recognition. A live demo creates and deploys a small system without touching the keyboard.

Raymond Hettinger's PyCon 2013 talk on transforming code into idiomatic Python through a series of before-and-after refactorings. It shows how to use iterators, dictionaries, named tuples and other language features well.

Python core developer Raymond Hettinger explains how Python's dictionary implementation evolved into the compact, ordered dict in Python 3.6. He uses pictures and small bits of pure Python, and covers key-sharing, compaction and versioning.

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.

Ruby developer Avdi Grimm gives a seven-minute tour of Pharo Smalltalk's development environment, focusing on tools like search-by-example and the integrated, live coding experience.

Mirabai Knight's PyCon 2013 talk on Plover, a free cross-platform stenography engine that lets people write at up to 240 WPM on ordinary hardware, including a demo of coding by steno.

Paul Graham's keynote at PyCon 2012, in which he talks about startup ideas and what kinds of companies are likely to matter in the future. He discusses ideas such as a better email client and a search engine for hackers, and argues for looking back at the present from the future.

David Beazley's PyCon India closing keynote, in which he live-codes a stack machine and grows it into an interpreter that runs WebAssembly, then uses it to play a Rust-written game. It requires no prior WebAssembly knowledge.

Miguel de Icaza's GodotCon 2023 talk on Swift bindings for Godot. He argues that garbage-collector pauses in C# are a persistent problem and that Swift's reference counting avoids them.

James Powell's nearly two-hour PyData talk builds up Python's data model, decorators, generators and context managers, coding live in Vim. It aims to take intermediate programmers toward real Python expertise.

Joel Grus's JupyterCon talk explaining why he dislikes Jupyter notebooks. He covers hidden state, trouble with reproducibility and testing, and how notebooks frustrate teaching. He shows his preferred workflow and what Jupyter could change.

A five-minute lightning demo of VisiData, a terminal tool for exploring and manipulating data. It uses two months of NYC 311 complaint data to drill down, plot points on a virtual map and save selected rows.

John Kitchin shows how Emacs org-mode with Python lets researchers combine narrative, math, figures and executable code in one document. It exports to LaTeX, HTML and PDF, and he used it for papers and e-books.

Brandon Rhodes' PyOhio 2014 talk on applying the Clean Architecture in Python. He shows how this high-level design pattern fits Python's features and addresses maintainability problems in large applications.

Cal Henderson's DjangoCon 2008 keynote, "Why I Hate Django", is a funny critique of Django from a Flickr architect. It touches on scaling topics such as database replication.

Damian Conway's hour-long keynote at the Perl conference, On the Shoulders of Giants, showing off Perl 6 (Raku) features with history, algorithms and a quantum math operator built with grammars. It is delivered with comic flair.

Robert Martin's RailsConf 2009 talk looks at why Smalltalk lost out despite its technical strengths. He draws lessons about language communities and arrogance that he argues could hurt Ruby too.

Cliff Click of Azul Systems gives a Google Tech Talk on running Java business applications on a machine with about a thousand cores. He covers hardware and software codesign, including garbage collection hardware and the JIT.

K Lars Lohn's PyCon 2016 keynote weaves together music theory, programming, biking road trips and fractals. It is a personal, wide-ranging talk rather than a Python how-to.

Larry Hastings explains what Python's GIL is, what problems it solves and how it works, and presents his Gilectomy project to remove it, including the performance and C-extension obstacles.

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.

Cliff Click of Azul Systems asks what a JVM is supposed to do, in a Google Tech Talk from 2011. He covers the services a JVM provides, such as garbage collection and compilation, and the messy reality beneath the abstractions.

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.

David Beazley's PyCon 2019 tutorial derives the lambda calculus from the ground up in Python, using only single-argument functions. He builds booleans, numerals and more with no other language features.