python

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.

Developer Voices interviews Chris Lattner about Mojo, a Python-compatible language aimed at CPU/GPU performance built on LLVM and MLIR. It covers performance features, the type system and why Mojo uses Python syntax.

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

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.

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 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.

An episode of This Week in Startups in which Jason Calacanis interviews Ruby on Rails creator David Heinemeier Hansson. They discuss startups, bootstrapping and 37signals' approach to business.

David Sanders gives the first part of a two-part introduction to the Julia programming language at SciPy 2014. It walks through the language's basics and its appeal for scientific computing.

Chris Seaton talks about JRuby+Truffle, explaining how the Truffle and Graal combination optimises the tricky parts of Ruby and why it outperforms other Ruby implementations.

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.

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.

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.

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.

David Kriesel's 36C3 talk, in an English translation, analyzes a year of scraped Deutsche Bahn data covering every stop of every long-distance train in Germany. It explores delays and how punctuality is actually measured.

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.