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Data Structures and Algorithms for Game Programming in C++: Write high-performance code and solve game development challenges with expert-led C++ solutions
Data Structures and Algorithms for Game Programming in C++: Write high-performance code and solve game development challenges with expert-led C++ solutions
Learn by doing, not just theory. Develop the hands-on skills to overcome common game dev hurdles and deliver polished, high-performance results.
Data Structures and Algorithms for Game Programming in C++: Write high-performance code and solve game development challenges with expert-led C++ solutions
Item #: 145870582

Data Structures and Algorithms for Game Programming in C++: Write high-performance code and solve game development challenges with expert-led C++

Item #: 145870582

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Learn by doing, not just theory. Develop the hands-on skills to overcome common game dev hurdles and deliver polished, high-performance results.
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What Stands Out

Expert-Led Guidance
Benefit from industry insights and expert knowledge, ensuring high-performance code and addressing complex game development challenges effectively.
C++ Focused
Master C++ through targeted strategies that enhance understanding of data structures and algorithms specifically for game programming.
Practical Solutions
Access real-world scenarios and solutions that improve coding skills and efficiency, tailored for game developers seeking to elevate their programming capabilities.

Product Details

Shop Data Structures and Algorithms for Game Programming in C++: Write high-performance code and solve game development challenges with expert-led C++ solutions online at a best price in Guernsey. 1835889867
  • Learn C++ game programming through real-world demos of AI systems, animation, and rendering to build scalable, high-performance games using patterns you can reuse across any game engineFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild real-time 2D and 3D games using C++ with practical, executable examplesGain proficiency in game programming domains like AI pathfinding, camera systems, animation, and rendering effectsBoost runtime efficiency with object pooling, LOD patterns, and terrain partitioning to create smoother, more responsive gameplay systems*Email sign-up and proof of purchase requiredBook DescriptionCreating responsive, intelligent games takes more than just following engine tutorials. It requires solving real development challenges with practical, efficient code. This book bridges theory and practice with proven algorithms and techniques grounded in real-world production needs, emphasizing clean, portable C++ implementations.Starting with raylib and the custom Knight engine layer, you’ll be introduced to a simple object-oriented scene and game object system. From there, you'll build responsive gameplay systems using essential data structures and algorithms, progressing through 2D rendering, collision detection, effects, and camera control before advancing to 3D graphics environments built using shaders, lighting, quad-tree terrain, and dynamic camera setups.You’ll animate characters using skeletal rigs, interpolation, and inverse kinematics for fluid movement and then develop game AI using FSMs, behavior trees, A* pathfinding, and steering behaviors. The book also covers neural networks, exploring their underlying theories, training processes, and tools. Throughout, the code is written in legacy-compatible C++ to ensure broad support across platforms and compilers.By the end, you’ll have gained the skills to build game systems that not only work but also scale, perform, and adapt like professional-grade code.What you will learnUse C++ data structures and algorithms to build core gameplay featuresImplement 2D/3D rendering with shaders, particle effects, and terrain systemsDesign camera systems like third-person, top-down, and split-screen viewsOptimize performance using object pooling and LODAnimate characters using skeletal rigging, interpolation, and inverse kinematicsBuild game AI with FSMs, behavior trees, pathfinding, and steeringApply neural network concepts in a turret defense projectWho this book is forThis book is for junior game developers, hobbyists, and computer science students entering game development, as well as C++ programmers looking to strengthen their skills. While some familiarity with C++ is helpful, the examples are explained step by step to remain approachable. Whether you're starting out or reinforcing your skills before diving into game engines down the road, this book offers a clear and practical foundation to make you a more effective developer, regardless of which tools you choose later.Table of ContentsGearing Up: C++ for Game DevelopmentData Structures in Action: Building Game FunctionalityAlgorithms Commonly Utilized in Game Development2D Rendering and EffectsThe Camera and Camera Controls3D Graphics RenderingRendering a 3D Game WorldAnimating Your CharactersBuilding AI Opponents Machine Learning Algorithms for Game AIContinuing Your Learning Journey
Publisher Packt Publishing
Publication date June 30, 2025
Language English
Print length 384 pages
ISBN-10 1835889875
ISBN-13 978-1835889879
Item Weight 1.61 pounds (730 grams)
Dimensions 7.5 x 0.97 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Game Developers

    Perfect for beginners looking to learn essential algorithms and data structures tailored for game programming.

  • Intermediate Coders

    Great for programmers familiar with C++ who want to enhance their game development skills with optimized techniques.

  • Game Industry Professionals

    Useful for experienced developers seeking advanced solutions to complex game development challenges and performance enhancements.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals brand new to programming or C++, as prior knowledge is required to benefit fully.

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C++ Editorial Review

In the realm of game development literature, this book stands out for those who possess a foundational knowledge of C++ and an interest in game programming. While the use of AI in generating aspects of the cover and language has stirred mixed feelings among potential readers, the authors have made it clear that the content is crafted and refined by professionals, ensuring a quality reading experience. The book is aimed primarily at hobbyists and aspiring game developers rather than seasoned professionals, making it a useful resource for those looking to build or customize game engines. It provides a comprehensive overview of essential algorithms and concepts needed in game development, albeit with the caveat that it may not delve deeply into every topic. For example, while it addresses Object Pooling and AI patterns like Finite State Machines (FSM) and Behavior Trees (BT), some readers found that certain explanations were brief and lacked in-depth exploration. Readers have highlighted that the book is a good starting point for those interested in understanding common algorithms essential in game design, but also note that it might not cater well to those expecting advanced algorithms or a focus on popular game engines like Unity, Unreal, or Godot. The project-based approach allows readers to apply learning practically, although some might feel the coverage of subjects like Big O complexity and advanced strategies could have been enhanced. Overall, this book provides a valuable introduction to game development principles through the Knight library, fostering practical skills and knowledge that can translate across different game engines. Its insights into machine learning and neural networks contribute a modern dimension, appealing to those eager to innovate within the domain. ###

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Pros

  • Good for beginners with an interest in C++ and game programming.
  • Offers practical insights into essential algorithms for game development.
  • Project-based learning aids understanding and application of concepts.
  • Well-structured code examples with sufficient comments.
  • Engine-agnostic approach, relevant to various game development contexts. ###

Cons

  • Some explanations of algorithms are brief and lack depth.

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