python

Lex Fridman interviews Travis Oliphant, creator of NumPy, SciPy and Anaconda, about scientific Python and its history. It runs about three hours.

A roughly three-hour Lex Fridman podcast conversation with Guido van Rossum, the creator of Python. Topics include Python's design, the GIL, asyncio, the future of programming and AI coding tools.

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.

Raymond Hettinger's PyBay 2019 talk on the mental habits behind effective programming, drawn from coaching, teaching and StackOverflow. He covers problem decomposition, chunking, managing working memory and getting unstuck.

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.

Raymond Hettinger's PyBay 2019 talk on the mental strategies he uses when programming in Python, such as chunking, solving a simpler related problem, and repeating tasks manually until patterns emerge. This version is re-synced with the slides.

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.

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.

Raymond Hettinger's PyBay 2017 keynote on concurrency in Python. It covers threads, processes, asyncio, locks and the GIL, with live shell-based examples.

David Beazley's workshop screencast builds asynchronous programming in Python from scratch, starting from callbacks and continuations and replacing threads to show how concurrency works underneath.

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.

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.

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.

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.

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.

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.

David Heinemeier Hansson's RailsConf 2014 keynote argues that programming is closer to writing than to science, with clear code produced by iterating through drafts. It prioritizes clarity and craft over technical superiority.

David Heinemeier Hansson's opening keynote at RailsConf 2019 argues against the expectation of payment for open source work, drawing on his experience releasing Rails. It also includes lighter asides about the industry.

Rich Hickey introduces Clojure to the NYC Java Study Group in the first of a two-part talk. It covers reader syntax, core data structures, code-as-data, evaluation, special operators, functions, macros and sequences, assuming no Lisp background.

Douglas Crockford's YUIConf 2011 keynote on why programming style matters, particularly in JavaScript. He draws on science about the brain and shows how tools like JSLint help.

The first episode of a long live-coding series in which Immo Landwerth builds the Minsk compiler for a small language in C#. It starts with a basic expression evaluator and builds toward a full language.

A Cincinnati Ruby meetup talk by Jim Weirich on decoupling application logic from Rails. He argues for separating business logic from framework and database models.

Jan Vitek of Northeastern University gives a meetup talk on the challenges of making the R language run fast. He explains what in R's semantics makes it hard to optimize and to build a JIT compiler for.

A long livestream of George Hotz live-coding a toy SLAM implementation, twitchslam, over two days in May 2018. It is an unedited session of Python programming with computer vision and visualization.

Mark Raasveldt of CWI presents DuckDB, an embeddable analytical database described as the SQLite for analytics, in a CMU Database Group talk. He explains why it was built, what it is for, and how it works.

Michael Betancourt's lecture at MLSS Iceland 2014 on efficient Bayesian inference with Hamiltonian Monte Carlo. It covers MCMC concepts and motivation and the problems of sampling in high-dimensional distributions.

Peter Norvig's UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.

Conan O'Brien interviews Jack White in a Serious Jibber-Jabber episode shot on 35mm film. They discuss White's creative process, his use of constraints and his approach to music and art.

Paul Taylor's first stand-up special, recorded in Paris in 2018, in which a British comedian living in France riffs on French culture, language and bureaucracy. It is the full 70-minute show.

Matt Parker's Royal Institution talk based on his book Humble Pi, covering everyday mathematical mistakes and spurious patterns that went wrong in engineering and software. It mixes stand-up comedy with stories of coincidence and error.

Matt Parker's LMS popular lecture on how seemingly incredible results can be meaningless random patterns. He ranges from ancient Woolworths civilisations to shoelaces and DNA.