All aboard The Coding Train! This beginner-friendly creative coding tutorial is designed to grow your skills in a fun, hands-on way as you build simulations of real-world phenomena with “The Coding Train” YouTube star Daniel Shiffman.
What if you could re-create the awe-inspiring flocking patterns of birds or the hypnotic dance of fireflies—with code? For over a decade, The Nature of Code has empowered countless readers to do just that, bridging the gap between creative expression and programming. This innovative guide by Daniel Shiffman, creator of the beloved Coding Train, welcomes budding and seasoned programmers alike into a world where code meets playful creativity.
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.
Embark on this extraordinary adventure with projects involving:
- A physics engine: Simulate the push and pull of gravitational attraction.
- Flocking birds: Choreograph the mesmerizing dance of a flock.
- Branching trees: Grow lifelike and organic tree structures.
- Neural networks: Craft intelligent systems that learn and adapt.
- Cellular automata: Uncover the magic of self-organizing patterns.
- Evolutionary algorithms: Play witness to natural selection in your code.
Shiffman’s work has transformed thousands of curious minds into creators, breaking down barriers between science, art, and technology, and inviting readers to see code not just as a tool for tasks but as a canvas for boundless creativity.
Whether you’re deciphering the elegant patterns of natural phenomena or crafting your own digital ecosystems, Shiffman’s guidance is sure to inform and inspire. The Nature of Code is not just about coding; it’s about looking at the natural world in a new way and letting its wonders inspire your next creation. Dive in and discover the joy of turning code into art—all while mastering coding fundamentals along the way.
NOTE: All examples are written with p5.js, a JavaScript library for creative coding, and are available on the book's website.
Inhaltsverzeichnis
Acknowledgments
Introduction
Chapter 0: Randomness
Chapter 1: Vectors
Chapter 2: Forces
Chapter 3: Oscillation
Chapter 4: Particle Systems
Chapter 5: Autonomous Agents
Chapter 6: Physics Libraries
Chapter 7: Cellular Automata
Chapter 8: Fractals
Chapter 9: Evolutionary Computing
Chapter 10: Neural Networks
Chapter 11: Neuroevolution
Appendix: Creature Design Tutorial
Image Credits
Index
