QuickStart Guide to Game Physics
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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
340
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

Natalie Brooks
Natalie Brooks

Tech Educator

July 30, 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."

Dr. Rajiv Banerjee
Dr. Rajiv Banerjee

Systems Architect

August 30, 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. Ingrid Novak
Dr. Ingrid Novak

Quantum Computing Expert

August 23, 2025

"After spending considerable time with QuickStart Guide to Game Physics, I'm impressed by how the author balances depth with accessibility. The first three chapters establish a strong foundation, while the middle sections develop the core concepts with numerous practical examples. The final section synthesizes these ideas in a way that feels both surprising and inevitable—a hallmark of excellent structuring."

Tom Becker
Tom Becker

Software Engineer

August 31, 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. Ethan Zhao
Dr. Ethan Zhao

Computer Vision Researcher

August 20, 2025

"Highly recommended! Engaging from start to finish."

Reader Discussions

WarpVector
WarpVector
Sep 28, 2025

The case studies are incredibly relevant and help ground the theory in real-world applications.

ChronoNavigator
ChronoNavigator
Sep 30, 2025

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

LogicLoop
LogicLoop
Oct 3, 2025

The author’s insights into ethical AI development are both timely and thought-provoking.

EulerianPath
EulerianPath
Sep 27, 2025

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

AstroCryptid
AstroCryptid
Sep 17, 2025

The chapters on reinforcement learning are worth the price alone.

LogicLoop
LogicLoop
Oct 1, 2025

The author’s insights into ethical AI development are both timely and thought-provoking.

AstroCryptid
AstroCryptid
Oct 7, 2025

I’ve used this book to teach undergrads and mentor junior engineers—it's that versatile.

ChronoNavigator
ChronoNavigator
Oct 1, 2025

A brilliant walkthrough of robotics kinematics—clear diagrams and solid math throughout.

PrimeFactor
PrimeFactor
Oct 8, 2025

The blend of academic rigor and industry relevance makes this a standout resource.

PrimeFactor
PrimeFactor
Sep 18, 2025

The author has a gift for making abstract concepts feel tangible and applicable.

PiCurious
PiCurious
Sep 26, 2025

The pacing is ideal—dense enough to challenge, but never overwhelming. A masterclass in technical writing.

LiteraryExplorer
LiteraryExplorer
Oct 8, 2025

The chapters on reinforcement learning are worth the price alone.

GoldenRatioed
GoldenRatioed
Oct 9, 2025

The author's approach to explaining complex algorithms is refreshingly clear.

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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