Practical Rust Projects: Build Serverless, AI, Machine Learning, Embedded, Game, and Web Applications

Author:   Shing Lyu ,  Andrew Rzeznik
Publisher:   APress
Edition:   2nd ed.
ISBN:  

9781484293300


Pages:   396
Publication Date:   26 July 2023
Format:   Paperback
Availability:   Not yet available   Availability explained
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Practical Rust Projects: Build Serverless, AI, Machine Learning, Embedded, Game, and Web Applications


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Author:   Shing Lyu ,  Andrew Rzeznik
Publisher:   APress
Imprint:   APress
Edition:   2nd ed.
Weight:   0.780kg
ISBN:  

9781484293300


ISBN 10:   1484293304
Pages:   396
Publication Date:   26 July 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Welcome to the World of Rust- 2. Building a Command-Line Program.- 3. Creating Graphical  User Interfaces (GUIs).- 4. High-performance Web Frontend using WebAssembly. - 5. Building REST APIs.- 6. Going Serverless with Amazon AWS Rust SDK.- 7. Building a Game.- 8. Physical Computing in Rust.- 9. Artificial Intelligence and Machine Learning.- 10. What else can you do with Rust?.

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Author Information

Shing Lyu is a software engineer who is passionate about open source software. He's worked on Rust professionally at Mozilla, on the Firefox (Gecko) and Servo browser engine project. Currently he works at AWS as a Solutions Architect. Previously Shing worked at DAZN, a sports streaming platform as a backend developer, with a focus on AWS and serverless technology. Shing has worked for other world famous brands such as Intel. He is also active in the open source community.  Being one of the founders of the Taiwan Rust community, he loves to share his enthusiasm for Rust with people.   Andrew Rzeznik is a Software Development Engineer at AWS Cryptography with interests in distributed systems, languages, tooling, IoT, and low-level programming. His primary working language is Rust but he considers himself a polyglot, having worked in C, C++, Python, Java, C#, and many others. Before AWS Andrew worked in various software positions,with a primary focus in factory automation. He developed robust yet accessible distributed machine control frameworks to bring advanced software patterns and techniques to manufacturing. He also served as a consultant where he debugged manufacturing issues at various firms. Andrew received his PhD in Mathematics from MIT, where he wrote simulations for ocean mining plumes and tested them aboard a research vessel at sea.

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