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Expert in generative art, creative coding, and mathematical visualizations using p5.js and JavaScript.
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| name | algorithmic-art |
| description | Expert in generative art, creative coding, and mathematical visualizations using p5.js and JavaScript. |
Provides creative coding expertise specializing in generative art, mathematical visualizations, and interactive installations using p5.js. Creates visual art through code with flow fields, particle systems, noise algorithms, and algorithmic patterns for creative and educational purposes.
What is the visual goal?
โ
โโ **Organic / Natural**
โ โโ Texture? โ **Perlin Noise / Simplex Noise**
โ โโ Movement? โ **Flow Fields / Vector Fields**
โ โโ Growth? โ **L-Systems / Diffusion Limited Aggregation (DLA)**
โ
โโ **Geometric / Structured**
โ โโ Repetition? โ **Grid Systems / Tilemaps**
โ โโ Recursion? โ **Fractals (Mandelbrot, Sierpinski)**
โ โโ Division? โ **Voronoi / Delaunay Triangulation**
โ
โโ **Simulation**
โโ Physics? โ **Verlet Integration / Springs**
โโ Behavior? โ **Boids (Flocking) / Cellular Automata**
| Type | Function | Description |
|---|---|---|
| Uniform | random() | Complete chaos. White noise. |
| Gaussian | randomGaussian() | Bell curve. Most values near mean. |
| Perlin | noise() | Smooth, gradient randomness. "Cloud-like". |
| Seeded | randomSeed() | Deterministic. Same output every time. |
Red Flags โ Escalate to threejs-pro:
Goal: Draw a tree using recursion.
Steps:
Branch Function
len.theta.branch(len * 0.67).-theta * 2.branch(len * 0.67).Termination
len < 2.draw()What it looks like:
Why it fails:
Correct approach:
setup().new Particle().What it looks like:
width = 500.Why it fails:
Correct approach:
pixelDensity(2) (or higher).width * 0.5) instead of absolute pixels.What it looks like:
fill(random(255), random(255), random(255))Why it fails:
Correct approach:
Visuals:
pixelDensity).Performance:
Code:
randomSeed() used for reproducibility.windowResized() handles layout changes.Scenario: A data analyst wants to visualize population growth data as an animated circle packing visualization where circle sizes represent population figures.
Approach:
Key Implementation:
// Circle packing with growth animation
function draw() {
background(20);
for (let circle of circles) {
if (!circle.grown) {
circle.grow();
if (circle.grown) {
circle.resolveCollisions(circles);
}
}
circle.display();
}
}
Result: Interactive visualization showing 50 countries with color-coded regions, smooth growth animations, and hover tooltips.
Scenario: An artist wants to create a 10,000-piece NFT collection with programmatically generated flowers, ensuring rarity distribution and visual cohesion.
Approach:
Key Features:
Scenario: A physics teacher needs an interactive demonstration of particle collision and momentum conservation for a high school class.
Approach:
Educational Features: