In this video I will be introducing the concept of the random walker, as seen in my chapter of the Nature of Code.

In this second section of Chapter I of the Nature of Code, we’ll be talking about basic probability.

This video covers the topic vectors: What is a vector? How do vectors play a role in programming motion and physics simulation in Processing?

In this video, I look at how to apply the concept of a vector in Processing itself using the PVector class. The video accompanies Chapter 1 from The Nature of Code book.

This video covers the basics of vector math. What is a vector? How do you add and subtract vectors? Leading up to using vectors in code!

This video discusses the definition of a “force” as well as an overview of Newton’s 3 laws of motion.

This video covers how to apply a force to a moving object in Processing. These forces are “made-up” values and don’t yet involve more complex formulae (coming soon!)

This video shows how to add mass to your object for a simulation with shapes of different sizes.

This video describes how angles work in Processing and how you can model the angular motion of a shape.

This video describes the basics of trigonometry and how to use polar coordinates in Processing.

This video covers oscillating motion in Processing through the use of sine and cosine.

This video introduces the idea of Particle Systems.

This video shows how to use an ArrayList for creating a Particle System.

This video covers how to remove Particle objects from an ArrayList while using a Particle System.

In this video, I attempt to answer the questions: (1) what are Physics Engines? and (2) why would you want to use them? I discuss some common physics engines and their various pros/cons – box2d, toxiclibs, matter.js.

This video is an introduction to a tutorial series on the physics engine Box2D. The programming language is Java (with the jbox2d port). The Box2D for Processing library is demonstrated. In the video it’s called the old name: “PBox2D”

This video goes over the basic elements of the Box2D world � body, shape, fixture, joint.

This video introduces the concepts of autonomous agents and provides an overview of implementing Craig Reynolds steering behaviors in Processing.

This video covers the most basic Reynolds’ steering behavior: seeking a target.

This video covers the arriving at a target, i.e. slowing down on approach.

This video introduces the concepts and algorithms behind Cellular Automata.

This video covers the basics of Wolfram’s elementary 1D cellular automaton.

This video covers the Game of Life 2D cellular automaton in Processing (Java).

This video introduces Fractals.

This video looks at how to write functions in Processing that call themselves (recursion) for the purpose of drawing fractals.

This video looks at how to use an ArrayList to store the parts of a fractal as separate objects. This allows a fractal to experience physics. The Koch curve is used as a demonstration.

Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach “search” problems and how it relates to brute force algorithms.

In part 2 of this genetic algorithm series, I explain how the concepts behind Darwinian Natural Selection are applied to a computational evolutionary algorithm.

Part 3 of the Genetic Algorithm series is dedicated to the Shakespeare Monkey Example. In this video, I use the evolutionary concepts from the previous video to compute a problem that a brute force algorithm wouldn’t be able to solve.

Welcome to Chapter 10 of The Nature of Code: Neural Networks. In this video, I provide a brief introduction neural networks and an overview of topics in upcoming videos.

In this series, I build a “doodle classifier” using the Google “Quick, Draw!” dataset and my JavaScript neural network library.

In this video, I continue my machine learning series and build a simple Perceptron in Processing (Java).

Welcome to a new topic in the Nature of Code series: Neuroevolution!

In this video I begin the process of coding a neuroevolution simulation and copy() and mutate() methods to the neural network library

In this video, I take another pass at the Neuroevolution Flappy Bird coding challenge and replace my JavaScript vanilla neural network library with the TensorFlow.js Layers API.