QuickStart Guide to Game Physics
BESTSELLER EDITOR'S CHOICE
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QuickStart Guide to Game Physics

4.8/5.0 (1,242 reviews)
Published: May 14, 2025
Game Physics Collision Detection Rigid Body Simulation Gravity Motion Game Development Physics Engines Realism Simulation Unity Unreal Engine

A groundbreaking work that transforms our understanding of the subject. This book has been acclaimed by critics and readers alike as a must-read masterpiece.

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ISBN
9798264282454
Pages
443
Language
English

Book Description

In this compelling and insightful work, the author delves deep into the subject matter, providing readers with a comprehensive understanding that is both accessible and profoundly enlightening.

Key Features:
  • Comprehensive coverage of all essential topics
  • Real-world examples and case studies
  • Practical applications and implementation guidance
  • Interviews with leading experts in the field
  • Actionable insights you can apply immediately

Whether you're a novice looking to understand the basics or an expert seeking advanced insights, this book offers value at every level. The clear writing style and thoughtful organization make complex concepts easy to grasp.

What You'll Learn:
  • The fundamental principles that underlie the subject
  • How to apply these principles in practical situations
  • Advanced techniques used by professionals in the field
  • How to avoid common pitfalls and mistakes
  • Strategies for continued learning and mastery
Note: This book includes downloadable resources and companion materials available on the publisher's website.

Customer Reviews

4.8

based on 1,242 reviews

Ben Carter
Ben Carter

Cloud Infrastructure Engineer

September 22, 2025

"This book came into my life at just the right moment. The themes in QuickStart Guide to Game Physics resonated deeply with me, and I found myself reflecting on my own experiences. The author has a beautiful way with words that makes complex ideas accessible."

Ben Carter
Ben Carter

Cloud Infrastructure Engineer

August 18, 2025

"In this meticulously crafted volume, the author demonstrates a command of the subject matter that is both broad and deep. The interdisciplinary approach bridges gaps between traditional scholarly boundaries, offering fresh insights that will undoubtedly influence future research directions."

Dr. Marcus Lee
Dr. Marcus Lee

AI Ethics Advocate

August 29, 2025

"In this meticulously crafted volume, the author demonstrates a command of the subject matter that is both broad and deep. The interdisciplinary approach bridges gaps between traditional scholarly boundaries, offering fresh insights that will undoubtedly influence future research directions."

Alex Thompson
Alex Thompson

Game Developer

August 12, 2025

"Highly recommended! Engaging from start to finish."

Dr. Aisha Rahman
Dr. Aisha Rahman

Robotics Specialist

October 7, 2025

"Fantastic read! Couldn't put it down. 5/5 stars!"

Reader Discussions

PiCurious
PiCurious
Oct 8, 2025

A goldmine for anyone working in computer vision—concise, practical, and well-researched.

ChronoNavigator
ChronoNavigator
Sep 29, 2025

I finally understand backpropagation thanks to this book’s intuitive examples.

EulerianPath
EulerianPath
Sep 19, 2025

I keep this book on my desk—it’s my go-to reference for deep learning architecture design.

GalacticEcho
GalacticEcho
Oct 5, 2025

Every chapter ends with exercises that actually reinforce learning—rare and valuable.

Readaholic
Readaholic
Sep 28, 2025

This book bridges the gap between theory and implementation better than any I've read.

CyberSentience
CyberSentience
Sep 30, 2025

This book helped me rethink how I design systems for scalability and fault tolerance.

PiCurious
PiCurious
Sep 17, 2025

This book gave me the confidence to tackle my first real-world AI project from scratch.

Join the Discussion

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Book Statistics

5-star reviews 84%
4-star reviews 12%
3-star reviews 3%
2-star reviews 1%
1-star reviews 0%

Awards & Recognition

  • #1 Bestseller in Category
  • Editor's Choice Award 2023
  • Reader's Choice Award
  • Book of the Month Selection