The Nature of Code: Simulating Natural Systems with JavaScript
Shiffman, Daniel
ISBN 10: 1718503709 ISBN 13: 9781718503700
Editorial: No Starch Press (edition ), 2024
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Descripción
Descripción:
It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. N° de ref. del artículo 1718503709-8-1
Sinopsis:
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.
Acerca del autor: 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.
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Título: The Nature of Code: Simulating Natural ...
Editorial: No Starch Press (edition )
Año de publicación: 2024
Encuadernación: Paperback
Condición: Very Good
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Nature of Code : Simulating Natural Systems With Javascript
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Paperback. Condición: new. Paperback. 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.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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781718503700
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The Nature of Code | Simulating Natural Systems with JavaScript
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ISBN 10: 1718503709
ISBN 13: 9781718503700
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Taschenbuch. Condición: Neu. The Nature of Code | Simulating Natural Systems with JavaScript | Daniel Shiffman | Taschenbuch | 602 S. | Englisch | 2024 | Random House LLC US | EAN 9781718503700 | Verantwortliche Person für die EU: Petersen Buchimport GmbH, Vertrieb, Weidestr. 122a, 22083 Hamburg, gpsr[at]petersen-buchimport[dot]com | Anbieter: preigu. Nº de ref. del artículo: 127717129
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