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

Dynamic arrays


Arrays are another common way to store sequences of data. However, they lack a fundamental feature of lists: expansion. Arrays are efficient because they are a fixed-size container of length n, where every element has an equal size. Thus, any element can be reached by calculating the address to jump to using the simple formula start_address + n * element_size, making the entire process really fast. Additionally, this is very CPU cache-friendly, since the data is always at least one hop away.

The idea of using arrays to emulate list behavior has been around for a long time (Java 1.2 included an ArrayList class in 1998, but the idea is likely much older) and it is still a great way to achieve high performance in lists. Rust's Vec<T> uses the same technique. To start off, this is how an array list is built:

Consequently, this Rust implementation will have an array (actually a slice, but more on that later) as the main storage facility as well:

pubstructDynamicArray {
    buf...