pycon

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.

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.

Brian Warner, author of magic-wormhole, presents the tool at PyCon 2016. He explains how a few secret words let two computers securely transfer files, covering the cryptography (NaCl, SPAKE2) and library use.

Nathaniel J. Smith's PyCon 2018 talk introducing Trio, a Python concurrency library designed around usability and structured concurrency. He live-codes a problem and analyzes pitfalls in other async libraries.

Anthony Scopatz presents xonsh at PyCon 2016, a shell that is a superset of Python combining the best features of bash, zsh and fish. It covers rich history, tab completion, and how the language compiles to a Python AST.

A three-hour PyCon 2016 tutorial by Christophe Pettus that orients Python developers to PostgreSQL. It covers installation, administration, and use, including vacuuming, MVCC, replication and backups.

Hillel Wayne's PyCon 2018 talk on testing beyond pytest and mypy. It introduces property-based testing with the Hypothesis library and design-by-contract with dpcontracts, and shows how to combine them with an existing test suite.

Jake Vanderplas's PyCon 2016 talk shows how sampling-based methods such as simulation, shuffling and bootstrapping make statistics intuitive. His pitch is that if you can write a for-loop, you can do statistics.

Cory Benfield's PyCon 2016 talk on building protocol libraries that can be reused widely, using the Python Hyper HTTP project as the example. He argues for separating protocol parsing from I/O.

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.

Raymond Hettinger explains Python's dataclasses module, showing the problem it solves and its key design decisions. He places it in a progression from tuples and dicts through named tuples and attrs.

Robert Erdmann, a materials scientist at the Rijksmuseum, gives a PyCon keynote on the ultra-high-resolution imaging of Rembrandt's Night Watch. He covers the automated gantry camera system, the Python software that drives it, and the large volumes of image data involved.

Daniele Procida's PyCon AU 2017 talk presents a system that divides documentation into four kinds, usually drawn as four quadrants. He explains why mixing them makes docs poor and how separating them improves writing.

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.

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.

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.

A PyCon 2012 talk by Kurt Grandis on building an automated water-squirting turret that uses Python and computer vision to detect and drive off squirrels from a bird feeder.

A PyCon 2013 block of Friday evening lightning talks. It includes the debut of Hy, a Lisp dialect that compiles to Python AST, and Solomon Hykes's first public talk on Docker.

A PyCon 2012 talk by early YouTube engineer Mike Solomon on how YouTube scaled its architecture, which is mostly Python.

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.

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.

David Beazley's PyCon 2010 talk explains how the Python Global Interpreter Lock works and shows experiments where multithreaded code runs slower, even on more cores, due to lock contention and context-switching overhead.

Ned Batchelder's PyCon 2012 talk gives a quick overview of what Unicode is, then focuses on what a Python programmer needs to handle text correctly. It presents the 'Unicode sandwich' strategy: decode bytes at input, work with Unicode internally, encode at output.

An open Q&A with Python creator Guido van Rossum hosted by Microsoft Reactor, covering his career, PyCon's origins and his opinions on other languages.

Solomon Hykes shows Docker to the public for the first time in a five-minute lightning talk at PyCon 2013. It demos Linux containers and the simplicity of a Dockerfile.

Dan Callahan presents Mozilla Persona, a decentralized, cross-browser authentication system that removes site passwords, at PyCon 2013. He explains how the protocol works and how to add it to a Python site.

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.

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.

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.