In my last post, I simulated a discrete Linenmayer System. L-systems evolve by repeatedly applying a transformation that is a function of the current state. Continuous dynamical systems also evolve over time according to a function of the current state, but they are described with differential equations rather than a discrete transformation function.

Recently I’ve been programming simulations of continuous dynamical systems at work, and discrete dynamical systems as part of many of my solutions to the Advent of Code 2020. In this post I’ll first compare continuous vs discrete system simulation methods, and then grow a plant in Go by modelling it as a discrete dynamical system.

I made a simple python script to collect random samples of audio from the internet and spread them across my midi keyboard for musical inspiration.

When I moved to a new city, I missed tuning in to my favorite radio station in the car. I wanted a way to bring the radio station with me. Most radio stations have a live stream, but they are typically low quality and costly to stream on the go. Not to mention those pesky ads. This is my solution.