Book Image

The Complete Rust Programming Reference Guide

By : Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Book Image

The Complete Rust Programming Reference Guide

By: Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger

Overview of this book

Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: • Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta • Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Table of Contents (29 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Creating native extensions in Rust for Node.js


There are times when the performance of JavaScript in the Node.js runtime is not enough, so developers reach out to other low-level languages to create native Node.js modules. Often, C and C++ are used as the implementation language for these native modules. Rust can also be used to create native Node.js modules via the the same FFI abstractions that we saw for C and Python. In this section, we'll explore a high-level wrapper for these FFI abstractions, called the neon project, which was created by Dave Herman from Mozilla.

The neon project is a set of tools and glue code that makes the life of Node.js developers easier, allowing them to write native Node.js modules in Rust and consume them seamlessly in their JavaScript code. The project resides at https://github.com/neon-bindings/neon. It's partially written in JavaScript: there's a command-line tool called neon in the neon-cli package, a JavaScript-side support library, and a Rust-side support...