dynamic visualization

Bret Victor's talk on Drawing Dynamic Visualizations. It argues that visualization tools offer either the directness of hand drawing or the dynamics of programmed graphics, and shows a tool that combines both.

Christopher Domas presents his Cantor Dust tool at Derbycon 2012, a 3D visual approach to reverse engineering binaries by visualizing their structure dynamically.

A Foresight Institute workshop video with two talks: Shawn Douglas on nanoscale instruments for visualizing small proteins, and Bret Victor on Dynamicland. Victor's part shows biomolecular design built in his Realtalk system with physical objects.

Spencer Lisenby explains dynamic soaring, a technique that lets unpowered radio-controlled gliders reach speeds above 835 kph. He covers the physics and the design, build and flying challenges.

Retired Boeing Technical Fellow Doug McLean walks through common misconceptions in aerodynamics, drawing on his book Understanding Aerodynamics. He critiques popular explanations of wing lift and rocket thrust and argues for arguing from the real physics.

Erik Demaine's MIT 6.006 lecture introducing dynamic programming through Fibonacci numbers and shortest paths. It covers memoization, subproblems and optimal substructure.

Tech Ingredients explains the principles of magnetohydrodynamics and builds several demonstrations, including propelling liquid metal and electrolytes with magnets and a railgun-style setup.

Nathan Kutz presents the spatio-temporal dynamics of rotating detonation rocket engines, including combustion fronts that behave like solitons. He shows a bifurcation analysis of a multiscale model that captures the main features.

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.

Adam Savage builds a Victorian-style rickshaw carriage for Boston Dynamics' Spot robot to pull, with him riding as passenger. The video covers the build and the engineering problems of pairing cutting-edge robotics with vintage transport, such as tuning the payload through Spot's API.

Physicist Jean-Pierre Petit gives a long technical commentary on Russia's newly announced weapons, including the Sarmat missile, a nuclear-powered cruise missile and a nuclear MHD-propelled submarine drone.

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.

3Blue1Brown visualizes high-dimensional spheres to explain a surprising puzzle about how a sphere fits in a box as dimensions grow. It builds geometric intuition for counterintuitive properties of high-dimensional space.

Bret Victor's closing keynote at UIST and SPLASH 2014 argues that our tools for thinking ignore most of human sensory and motor capability. He sketches representations that engage more modalities beyond screens and keyboards.

3Blue1Brown visualizes the Riemann zeta function and the analytic continuation that extends it beyond where its series converges, building toward the Riemann hypothesis.

Stephen Kell's Strange Loop talk argues that C and Unix already contain Smalltalk-like dynamism and introspection that can be exposed. He presents his liballocs research on bridging dynamic and compiled languages.

Aging Wheels tests how towing trailers affects the range of electric trucks, including a Silverado EV. It shows that trailer aerodynamics matters far more than added weight.

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 Google Tech Talk by Laurens van der Maaten, co-creator of t-SNE, on visualizing high-dimensional data by mapping it to two dimensions. It explains how the technique works and how it compares with other visualization approaches.

A 21-minute animation showing how a sphere can be turned inside out without creases or tears, known as sphere eversion.

Freya Holmer explains how Bezier curves work, from the helper-line construction to their uses in animation, text rendering and shapes. It uses visuals from her Unity Shapes plugin and was a SoME1 contest winner.

3Blue1Brown's visual explanation of how transformers and GPT-style language models work, tracing data through tokens, embeddings and attention.

An animated introduction to geometric algebra, presented as a language that can describe most of physics. It was made with manim and covers multivectors and how they generalize familiar tools like cross products and quaternions.

Hans Rosling uses the Gapminder animated-data tool to debunk myths about world development, with sportscaster-like energy. It shows trends in health, income and child survival across countries.

3Blue1Brown builds visual intuition for quaternions, showing how to think about this four-dimensional number system using stereographic projection and rotations in 3D space. It is part one of a two-part series with an interactive companion site.

Steven Wittens' JSConf US 2013 talk on drawing with WebGL, using animated visuals to walk through vectors, matrices and the rendering pipeline. Despite the title, it works as a visual primer on the linear algebra behind 3D graphics.

3Blue1Brown's visual walkthrough of the attention mechanism inside transformers, covering self-attention, multiple heads and cross-attention. It is chapter 6 of his deep learning series.

3Blue1Brown introduces Fourier series, from the heat equation to drawing arbitrary shapes with rotating circles. It builds a visual intuition for decomposing functions into sine waves.

Veritasium's explainer on entropy, presented as one of physics' most important and least understood concepts. It uses examples such as heat engines and the sun's energy flowing through the Earth.

In this TED talk, Hans Rosling uses animated statistics to debunk myths about the developing world, showing how health and income have improved across countries.

Simon Sinek's 99U talk on why leaders earn trust by putting their team's safety ahead of their own, drawing on biology and anthropology. It distills the ideas of his book Leaders Eat Last into about 46 minutes.

Owen Maitzen's animated hour-long introduction to Hackenbush, a simple combinatorial game, and how its strategy leads to surreal numbers and the roots of the number system.

Alex Martelli's Google Developers Day talk on classic design patterns (creational, structural and behavioral) and how they appear in Python. He stresses that patterns must be studied in the context of the implementing language.

Stuart Halloway shows how Clojure's spec library lets you build programs that are both agile and robust. He covers declarative, predicate-based specification layered on interactive REPL development.

2swap explores lambda calculus using John Tromp's lambda diagrams, with animated beta-reductions, asking what PLUS times PLUS gives. It touches on Church encodings and the equivalence of Turing machines and lambda calculus.

Thunderf00t critiques the MIT and Berkeley metal-organic framework device that claims to pull water from air using only solar heating. He argues the energy accounting does not work and that such devices are essentially fancy dehumidifiers.

Thunderf00t applies a simple energy mass balance to weight loss, showing how much exercise is needed to burn off extra calories compared with eating less. He concludes that cutting intake is the easier route and that hunger fades after the first week.

The first episode of Stewart Brand's 1997 BBC series based on his book How Buildings Learn, covering how buildings change after they are built. Brand presents and the series has music by Brian Eno.

Andrew Ng presents unsupervised feature learning and deep learning, showing how algorithms can learn representations from unlabeled data instead of hand-designed features. He gives examples in vision and audio, including visualizations of features learned by successive layers.

Chris Urmson's SXSW 2016 talk on Google's self-driving car project, covering 1.3 million self-driven miles and the gap between hype and reality. It shows sensor visualizations and playbacks of hard situations the cars met, and discusses failures such as the low-speed bus collision.