The Nature of Code

Simulating Natural Systems with JavaScript

Daniel Shiffman (Autor)

Buch | Softcover

600 Seiten

2024
No Starch Press,US (Verlag)
978-1-7185-0370-0 (ISBN)

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How can we use code to capture the unpredictable properties of nature? How can understanding the mathematical principles behind our physical world help us create interesting digital environments? Written by 'The Coding Train' YouTube star Daniel Shiffman, The Nature of Code is a beginner-friendly creative coding tutorial that explores a range of programming strategies for developing computer simulations of natural systems - from elementary concepts in math and physics to sophisticated machine-learning algorithms. Using the same enthusiastic style on display in Shiffman's popular YT channel, this book makes learning to program fun, empowering you to generate fascinating graphical output while refining your problem-solving and algorithmic-thinking skills. You'll progress from building a basic physics engine that simulates the effects of forces like gravity and wind resistance, to creating evolving systems of intelligent autonomous agents that can learn from their mistakes and adapt to their environment. The Nature of Code introduces important topics such as: Randomness, forces and vectors, trigonometry, cellular automata and fractals, genetic algorithms, neural networks. Learn from an expert how to transform your beginner-level skills into writing well-organized, thoughtful programs that set the stage for further experiments in generative design.

Daniel Shiffman, creator of the YouTube channel The Coding Train (www.youtube.com/c/TheCodingTrain), spends much of his free time teaching nearly 2 million subscribers how to code through a blend of step-by-step tutorials and project videos. An associate arts professor at the NYU Tisch School of the Arts and co-founder of the Processing Foundation, Shiffman is on a mission to empower curious learners and humans everywhere to express themselves through code.

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

Erscheinungsdatum	22.08.2024
Verlagsort	San Francisco
Sprache	englisch
Maße	185 x 244 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Grafik / Design
Themenwelt	Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
ISBN-10	1-7185-0370-9 / 1718503709
ISBN-13	978-1-7185-0370-0 / 9781718503700
Zustand	Neuware