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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++
86% of respondents would recommend this to a friend
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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
Product Details
| 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?
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Aspiring Game Developers
Perfect for beginners looking to learn essential algorithms and data structures tailored for game programming.
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Intermediate Coders
Great for programmers familiar with C++ who want to enhance their game development skills with optimized techniques.
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Game Industry Professionals
Useful for experienced developers seeking advanced solutions to complex game development challenges and performance enhancements.
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Complete Beginners
Not suitable for individuals brand new to programming or C++, as prior knowledge is required to benefit fully.
Product Description
Data Structures and Algorithms for Game Programming in C++: Write high-performance code and solve game development challenges with expert-led C++ solutions
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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.
Product Price History
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Features & Benefits
- Hands-on guide to practical C++ game programming.
- Master scene-based architecture, game loops, and data structures.
- Optimize games with advanced techniques like object pooling and A* pathfinding.
- Create stunning visuals with particle systems and normal mapping.
- Efficiently manage performance with quad-tree structures and billboards.
- Includes fully playable demos for interactive learning.
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