python

Brandt Bucher presents his prototype JIT compiler for CPython at the 2023 Core Developer Sprint. He explains the copy-and-patch approach, the implementation and its performance.

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.

Charlie Marsh of Astral explains how uv, a Rust Python package manager, got so fast. He covers allocators, concurrency, zero-copy tricks and the challenges of Python packaging.

David Beazley's PyData Global 2021 keynote, an oral history of early scientific Python. He tells how Python ended up running on a Connection Machine supercomputer at Los Alamos.

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.

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.

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.

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.

David Guillot describes how his team replaced a two-year-old React UI of their SaaS product with Django templates and htmx in a couple of months. The talk gives concrete indicators on code size, performance and team impact.

Roman Elizarov compares Kotlin Coroutines with OpenJDK Project Loom virtual threads, looking at their design goals and how those translate into different implementations and tradeoffs. He addresses how the two can coexist.

A Netflix engineer describes how Netflix uses Java in 2025, including Spring Boot, DGS/GraphQL, gRPC and keeping over 3000 services on the latest JDK. It covers generational ZGC upgrade experiences.

Tom7 (suckerpinch) builds and evaluates a series of absurd hard drives, including storage made from ping packets across the internet. The video accompanies his paper and mixes deep technical hacking with comedic storytelling.

Jeremy Howard defends Jupyter notebooks as a serious development environment, especially when paired with nbdev. He responds directly to Joel Grus's talk about why he dislikes notebooks, and contrasts REPL-style and notebook-style work.

A reupload of Joel Spolsky's talk teaching spreadsheet users the Excel features they are probably missing, such as keyboard navigation, named ranges, tables and lookups. The original disappeared and this copy comes from the Wayback Machine.

Fons van der Plas introduces Pluto.jl, a reactive notebook for Julia that tracks references between cells and re-runs affected cells when code changes. The talk was given at JuliaCon 2020.

Veritasium explains why many real-world systems follow power laws rather than normal distributions. It covers self-organized criticality, with simulations of sandpiles, magnetism and forest fires.

Physicist Angela Collier rants for 42 minutes about why violin plots are a poor way to show data, citing papers on violin and bean plots. It is part lecture on how to read distributions and part opinionated critique.

A 49-minute demo of Palantir Foundry by its chief architect. It walks through data integration, ML and AI workflows, analytics, and application building across the platform.

Tom 7 (suckerpinch) delivers a long, comedic digression on gradient descent and floating-point imprecision. He shows how rounding behavior can supply the nonlinearity needed to build a neural network.

Grant Sanderson of 3Blue1Brown shows his workflow for animating math videos with Manim, with Ben Sparks. He codes scenes live, including a Lorenz attractor, and walks through example scenes.

A 2023 LLVM Developers' Meeting keynote by Abdul Dakkak, Chris Lattner and Jeff Niu introducing Mojo, a Python-family systems language built on MLIR and LLVM for heterogeneous computing.