Practical Rust Projects
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Practical Rust Projects
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. What You Will Learn 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 Who This Book Is For Someone with basic Rust knowledge, wishing to learn more about how to apply Rust in a real-world scenario.
Practical Rust Projects
Go beyond the basics and build complete applications using the Rust programming language, updated for Rust 2021 edition. The applications you'll build over the course of this book include a high-performance web client, an embedded computer (for a robot, for example), a game, a serverless web app, and an application that incorporates AI and machine learning. Each chapter is organized in the following format: what the kind of should application look 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 preference. Practical Rust Projects, Second Edition will open your eyes to how Rust can be put to practical, real-world use. After reading this book, you will be able to use Rust to build a variety of your own projects. What You Will Learn Explore practical Rust programming language-based projects, examples and case studies Create a GUI Build a high performance web Front-end using WebAssembly Develop REST APIs using Rust Go serverless to develop a cloud application using the Amazon AWS Rust SDK Create a game using Rust, along with AI and machine learning apps Who This Book Is For Those with basic Rust knowledge who want to learn more about how to apply Rust in real-world scenarios.
Practical Rust 1.x Cookbook, Second Edition
If you want to learn how to program in Rust and create strong, reliable apps with the most recent version Rust 1.68, then you need the "Practical Rust 1.x Cookbook (Second Edition)"—a book full of real-world solutions. An extensive collection of practical recipes covering a wide range of topics, this edition expands upon the first and guarantees that you will be well-versed in the complexities of Rust. You will learn the fundamentals of programming, how to set up a development environment, and the syntax of Rust in the first few chapters. Data structures, pattern matching, error handling, and concurrency are all covered in the recipes, which will set you up for success with more complex topics.As you go through the book, you'll learn how to write efficient and secure code by managing memory, using Rust's ownership model, and borrowing rules. You will gain an understanding of how to make use of robust Rust features such as traits, generics, and lifetimes to build code that is both flexible and reusable. The testing and debugging chapters provide the necessary tools and techniques to guarantee that your applications are dependable and free of bugs. Using profiling tools like valgrind and perf, the cookbook teaches you how to find and fix performance bottlenecks, which is a major focus of performance optimization. By learning about SIMD instructions, compiler optimization flags, and parallel processing with libraries like rayon, you can greatly improve the efficiency of your code. In the more advanced chapters, you will learn how to use static and dynamic analysis, fuzz testing, and external high-performance libraries to make your applications even better. In no time at all, you will be able to build robust, high-performance Rust applications by following these potent recipes and becoming an expert Rust programmer. Key Learnings Learn the ins and outs of Rust's ownership model to avoid data races and make sure memory is safe. Develop your skills in pattern matching and advanced error handling to create code that is both strong and easy to maintain. Use the robust primitives and rayon library in Rust to implement parallelism and concurrency. Use the perf, valgrind, and SIMD instructions to optimize performance for efficient execution. Carry out thorough fuzz testing and static analysis with clippy and cargo-fuzz. Enable efficient memory management by studying high-performance libraries such as hashbrown and jemalloc. With diesel and sqlx, you can manage databases and make queries and integrations a breeze. Optimize the deployment of Rust applications and establish CI/CD pipelines. Table of Content Setting up and Configuring Rust Environment Hands-on Traits, Enums and Struct Pattern Matching, Concurrency, Pointers and Modules Using Declarative and Procedural Macros Implementing Concurrency and Multithreading Asynchronous Programming Developing REST and SOAP APIs Building Microservices & Architectures Working around CI/CD Working around Kubernetes Fuzz Testing and Static Analysis Code Performance Optimization