Learn To Implement Games With Code
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Author | : John M. Quick |
Publisher | : CRC Press |
Total Pages | : 575 |
Release | : 2016-09-19 |
Genre | : Computers |
ISBN | : 1315351102 |
Game development is one of the most rewarding crafts of modern times. Not only is making games a wonderful lifelong hobby, but employment opportunities exist at many levels. Learn to Implement Games with Code guides you through the development process as you put together a release-ready game. It is written in a friendly and conversational tone, which is suitable for a wide audience of aspiring game developers, such as yourself. You will gain practical, hands-on experience with implementing game components using code. Gradually, you will build a complete game that you can be proud of. After finishing this book, you will be prepared to start making games of your very own design.
Author | : John M. Quick |
Publisher | : CRC Press |
Total Pages | : 376 |
Release | : 2016-09-19 |
Genre | : Computers |
ISBN | : 1498753396 |
Game development is one of the most rewarding crafts of modern times. Not only is making games a wonderful lifelong hobby, but employment opportunities exist at many levels. Learn to Implement Games with Code guides you through the development process as you put together a release-ready game. It is written in a friendly and conversational tone, which is suitable for a wide audience of aspiring game developers, such as yourself. You will gain practical, hands-on experience with implementing game components using code. Gradually, you will build a complete game that you can be proud of. After finishing this book, you will be prepared to start making games of your very own design.
Author | : David M. Bourg |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 398 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9780596005559 |
From the author of "Physics for Game Developers," comes a new, non-threatening introduction to the complex subject of game programming.
Author | : Jason Rukman |
Publisher | : Simon and Schuster |
Total Pages | : 256 |
Release | : 2018-12-04 |
Genre | : Juvenile Nonfiction |
ISBN | : 1507207980 |
Teach kids the concepts of coding in easy-to-understand language and help them develop games of their own with The Everything Kids’ Scratch Coding Book! Understanding computer science is becoming a necessity in the modern age. As our world shifts towards becoming increasingly more technical and automated, the ability to code and understand computers has become one of the most valuable skills any child can have on the road to a successful life. More and more schools are recognizing this importance and have started to implement computer science and coding as core elements in their curriculums, right alongside math and history. The Everything Kids’ Scratch Coding Book helps children get a head start on this new essential skill, with Scratch coding—a language designed by MIT specifically to help a younger audience learn to code. In no time, children will learn basic coding concepts, build fun games, and get a competitive edge on their classmates. This book encourages children to think analytically and problem-solve, while helping them develop an essential skill that will last them a lifetime.
Author | : Patrick Felicia |
Publisher | : Patrick Felicia |
Total Pages | : 284 |
Release | : 2019-10-15 |
Genre | : Computers |
ISBN | : 1700125915 |
First Edition, Published in September 2019 Content and structure of this book In this book, the fifth book in the series, you will become comfortable with creating your own RPG. If you were ever interested in creating systems for your game to speed-up your coding and create and maintain levels easily, then this book is for you. The book includes a list of the learning objectives at the start of each chapter, step-by-step activities, and quizzes to test your knowledge, and the content of each chapter is as follows: - Chapter 1 gives an introduction to the RPG genre. You will learn the design principles that will help you to speed-up your development process. - Chapter 2 helps you to create and animate your main 3D character, add a camera that will follow this character as well as a mini-map. You will also learn to use ProBuilder to create a village. - Chapter 3 explains how to create a dialogue system from an XML file, and how to integrate it seamlessly into your game. - Chapter 4 explains how you can create a simple inventory system and use it to collect, store, and use items that you will find in your quest. - Chapter 5 shows you how to create a shop where the player can buy items that will then be added to the inventory. - Chapter 6 explains how you can create different types of animated and intelligent NPCs that will challenge the player. - Chapter 7 explains how you can create a quest system based on an XML file to manage the objectives for each of your levels. You will learn to read, and use this file for your game. - Chapter 8 explains how you can create an XP attribution system where the player can use the Xps gained in the previous level to increase his/her skills (e.g., accuracy, power, etc.) - Chapter 9 shows you how you can create a maze randomly using a procedural method so that the maze is different every time the game is played. - Chapter 10 combines the skills that you have learned so far to create a final level where the player needs to eliminate guards, collect gold, and also defeat the boss. After reading this book you will become a better game programmer, improve your knowledge of coding and unity, understand how to make a more complex product, learn some techniques to make an RPG game more modular, especially the quest system, use reusable code/assets that you can employ in your own game, create an inventory for your characters and much more... If you want to get started with your first RPG in Unity and learn reusable systems for your other games, using a tried-and-tested method: buy this book now!
Author | : Robert Nystrom |
Publisher | : Genever Benning |
Total Pages | : 353 |
Release | : 2014-11-03 |
Genre | : Computers |
ISBN | : 0990582914 |
The biggest challenge facing many game programmers is completing their game. Most game projects fizzle out, overwhelmed by the complexity of their own code. Game Programming Patterns tackles that exact problem. Based on years of experience in shipped AAA titles, this book collects proven patterns to untangle and optimize your game, organized as independent recipes so you can pick just the patterns you need. You will learn how to write a robust game loop, how to organize your entities using components, and take advantage of the CPUs cache to improve your performance. You'll dive deep into how scripting engines encode behavior, how quadtrees and other spatial partitions optimize your engine, and how other classic design patterns can be used in games.
Author | : Al Sweigart |
Publisher | : No Starch Press |
Total Pages | : 377 |
Release | : 2016-12-16 |
Genre | : Computers |
ISBN | : 1593277954 |
Invent Your Own Computer Games with Python will teach you how to make computer games using the popular Python programming language—even if you’ve never programmed before! Begin by building classic games like Hangman, Guess the Number, and Tic-Tac-Toe, and then work your way up to more advanced games, like a text-based treasure hunting game and an animated collision-dodging game with sound effects. Along the way, you’ll learn key programming and math concepts that will help you take your game programming to the next level. Learn how to: –Combine loops, variables, and flow control statements into real working programs –Choose the right data structures for the job, such as lists, dictionaries, and tuples –Add graphics and animation to your games with the pygame module –Handle keyboard and mouse input –Program simple artificial intelligence so you can play against the computer –Use cryptography to convert text messages into secret code –Debug your programs and find common errors As you work through each game, you’ll build a solid foundation in Python and an understanding of computer science fundamentals. What new game will you create with the power of Python? The projects in this book are compatible with Python 3.
Author | : Tynan Sylvester |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 416 |
Release | : 2013-01-03 |
Genre | : Computers |
ISBN | : 144933802X |
Ready to give your design skills a real boost? This eye-opening book helps you explore the design structure behind most of todayâ??s hit video games. Youâ??ll learn principles and practices for crafting games that generate emotionally charged experiencesâ??a combination of elegant game mechanics, compelling fiction, and pace that fully immerses players. In clear and approachable prose, design pro Tynan Sylvester also looks at the day-to-day process necessary to keep your project on track, including how to work with a team, and how to avoid creative dead ends. Packed with examples, this book will change your perception of game design. Create game mechanics to trigger a range of emotions and provide a variety of play Explore several options for combining narrative with interactivity Build interactions that let multiplayer gamers get into each otherâ??s heads Motivate players through rewards that align with the rest of the game Establish a metaphor vocabulary to help players learn which design aspects are game mechanics Plan, test, and analyze your design through iteration rather than deciding everything up front Learn how your gameâ??s market positioning will affect your design
Author | : David H. Ahl |
Publisher | : |
Total Pages | : 185 |
Release | : 1981 |
Genre | : BASIC (Computer program language) |
ISBN | : |
Author | : Kevin Ferguson |
Publisher | : Simon and Schuster |
Total Pages | : 611 |
Release | : 2019-01-06 |
Genre | : Computers |
ISBN | : 1638354014 |
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning