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Kumar Abhishek. Rust Crash Course: Build High-Performance, Efficient and Productive Software with the Power of Next-Generation Programming Skills

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Kumar Abhishek. Rust Crash Course: Build High-Performance, Efficient and Productive Software with the Power of Next-Generation Programming Skills
BPB Online, 2022. — 322 p. — ISBN 978-93-5551-095-2.
Ускоренный курс Rust: создавайте высокопроизводительное, эффективное и продуктивное программное обеспечение с помощью навыков программирования нового поколения
Rust is a sophisticated systems programming language for speed, memory safety, and parallelism. This book gives you a fast introduction to Rust so that you may get started with low-level system programming and developing web applications, network services, and embedded programmes.
The book begins with instructions on setting up the Rust environment, developing a "hello world" programme, and getting started with cargo, the Rust package manager and the build tool. The book is a crash course, although it covers fundamental programming principles like variables and mutability, data types, comments, and control flow. Very precisely, topics such as ownership, borrowing, structs, enums, and other collections are covered. Error handling, memory management, and concurrency are well-demonstrated using practical projects. The book explains how to construct automated tests, write multithreaded applications, and utilise common data structures without difficulty. The book concludes with several hands-on projects, including creating a CLI application, a web app, a binary image classifier, and an embedded programme.
Setup and Installation of Rust
General Programming Concepts
Ownership and Memory Management
Structs, Enums, and Collections
Organizing Your Code
Error Handling
Generics and Traits
Testing Your Code
Iterators and Closures
Smart Pointers
Concurrency
Object-Oriented Features
Implementing Data Structures – Linked List, Trees, Hash Table, and Graph
Rust for Windows Developers
Rust for Android
Project 1 – Building a CLI Application
Project 2 – Running Rust from a Web Browser
Project 3 – Embedded Rust Hello World
Project 4 – Building a Binary Image Classifier using Neural Networks
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