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

Exploring standard library traits


Rust's standard library has a lot of built-in traits. Most of the syntatic sugar in Rust is due to traits. These traits also provide a nice baseline upon which crate authors can provide an idiomatic interface to their libraries. In this section, we'll explore some of the abstractions and conveniences of the standard library traits that enhance the experience for a crate author and the consumer. We'll base our exploration from a library author's perspective and create a library that provides support for complex number types. This example serves well to introduce the common traits you have to implement if you are creating a crate of your own.

We'll create a new project by running cargo new complex --lib. To start with, we need to represent our complex number as a type. We'll use a struct for this. Our complex number struct has two fields: the real and imaginary part of a complex number. Here's how we have defined it:

// complex/src/lib.rs

struct Complex&lt...