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Welcome! You can read the whole book here, thank you Creative Commons! If this project sparks joy and you want to support it, you can sponsor on GitHub or grab a copy of a bound collection of processed cellulose fibers, imprinted with symbolic glyphs via pigment-based transfer particles direct from me! Order Direct.
Over a decade ago, I self-published The Nature of Code, an online resource and print book exploring the unpredictable evolutionary and emergent properties of nature in software via the creative coding framework Processing. It’s the understatement of the century to say that much has changed in the world of technology and creative media since ...
So far, I’ve been demonstrating inanimate objects, lifeless shapes sitting on the canvas that flop around when affected by forces in their environment. But this is The Nature of Code. What if I could breathe life into those shapes? What if those shapes could live by their own rules? Can shapes have hopes and dreams and fears? These sorts of ...
To answer these questions, I’ll once again look to nature for inspiration—specifically, the human brain. A brain can be described as a biological neural network, an interconnected web of neurons transmitting elaborate patterns of electrical signals. Within each neuron, dendrites receive input signals, and based on those inputs, the neuron ...
Vectors are typically written either in boldface type or with an arrow on top. For the purposes of this book, to distinguish a vector (with magnitude and direction) from a scalar (a single value, such as an integer or a floating-point number), I’ll use the arrow notation: Vector: v ⃗ \vec {v} v. Scalar: x {x} x.
A Comfortable and Cozy p5.js Sketch That Needs a Little Matter.js.
However, doing so would mean skipping a fundamental aspect of motion in the natural world: oscillation, or the back-and-forth movement of an object around a central point or position. To model oscillation, you need to understand a little bit about trigonometry , the mathematics of triangles.
Buy The Nature of Code by Daniel Shiffman direct from the author! (includes bonus bookmark and sticker).
This JavaScript-based edition of Shiffman’s groundbreaking work gently unfolds the mysteries of the natural world, turning complex topics like genetic algorithms, physics-based simulations, and neural networks into accessible and visually stunning creations.
Uniform randomness often isn’t the most thoughtful solution to a design problem—in particular, the kind of problem that involves building an organic or natural-looking simulation. With a few tricks, however, the random() function can instead produce nonuniform distributions of random numbers, where some outcomes are more likely than others.
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