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

Summary


Rust's standard library includes several implementations for basic things such as sorting or searching on its primitive slice type and the Iterator<T> trait. The slice type in particular has many highly important functions to offer.

binary_search() is a generic implementation of the binary search concepts provided on the slice type. Vec<T> can be quickly and easily (and implicitly) converted into a slice, making this a universally available function. However, it requires a sorting order to be present in the slice to work (and it won't fail if it's not) and, if custom types are used, an implementation of the Ord trait.

In case the slice cannot be sorted beforehand, the Iterator<T> variable's implementation of position() (of find()) provides a basic linear search that returns the first position of the element.

Sorting is provided in a generic function, but comes in two flavors: stable and unstable. The regular sort() function uses a merge sort variation called Timsort...