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|a com.springer.onix.9781484255995
|b Springer Nature
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|a UAMI
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|a Lyu, Shing.
|e author
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|a Practical Rust projects :
|b building game, physical computing, and machine learning applications /
|c Shing Lyu
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|a New York, NY :
|b Apress,
|c [2020]
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|c ©2020
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|a 1 online resource (265 pages)
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|a Includes index
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505 |
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|a Chapter 1: Introduction -- Chapter 2: Building a Command-Line Program -- Chapter 3: Creating Graphical User Interfaces (GUIs) -- Chapter 4: Building a Game -- Chapter 5: Programming Embedded Devices -- Chapter 6: Artificial Intelligence and Machine Learning -- Chapter 7: Advanced Topics
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|a Go beyond the basics and build complete applications using the Rust programming language. The applications in this book include a high-performance web client, a microcontroller (for a robot, for example), a game, an app that runs on Android, and an application that incorporates AI and machine learning. Each chapter will be organized in the following format: what this kind of application looks like; requirements and user stories of our example program; an introduction to the Rust libraries used; the actual implementation of the example program, including common pitfalls and their solutions; and a brief comparison of libraries for building each application, if there is no clear winner. Practical Rust Projects will open your eyes to the world of practical applications of Rust. After reading the book, you will be able to apply your Rust knowledge to build your own projects. You will: Write Rust code that runs on microcontrollers Build a 2D game Create Rust-based mobile Android applications Use Rust to build AI and machine learning applications.
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|a online resource; title from PDF title page (ProQuest Ebook Central, viewed January 27, 2021)
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Rust (Computer program language)
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|a Rust (Langage de programmation)
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|a Rust (Computer program language)
|2 fast
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|i Print version:
|a Lyu, Shing.
|t Practical Rust Projects : Building Game, Physical Computing, and Machine Learning Applications.
|d Berkeley, CA : Apress L.P., ©2020
|z 9781484255988
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856 |
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|u https://learning.oreilly.com/library/view/~/9781484255995/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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|a ProQuest Ebook Central
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|a ProQuest Ebook Central
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