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

Sequences


Lists of any kind are the most essential data structure in a typical program; they provide flexibility and can be used as a queue, as a stack, as well as a searchable structure. Yet the limitations and the operations make a huge of difference between different data structures, which is why the documentation for std::collections offers a decision tree to find out the collection type that is actually required to solve a particular problem.

The following were discussed in Chapter 14, Lists, Lists, More Lists:

  • Dynamic arrays (Vec<T>) are the most universal and straightforward to use sequential data structure. They capture the speed and accessibility of an array, the dynamic sizing of a list, and they are the fundamental building block for higher order structures (such as stacks, heaps, or even trees). So, when in doubt a Vec<T> is always a good choice.
  • VecDeque<T>is a close relative of the Vec<T>, implemented as a ring buffer—a dynamic array that wraps around...