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

From chaos to order


There are many sorting algorithms (and their individual variations), each with their individual characteristics. Since it is impossible to cover every algorithm in a single chapter, and considering their limited usefulness, this chapter covers a selected few.

The selection should show the different strategies that are common in sorting a collection of items, many of which have been implemented in various libraries across different languages. Since many of you will never implement any sorting algorithms for productive use, this section is supposed to familiarize you with what's behind the scenes when a call to mycollection.sort() is issued, and why this could take a surprising amount of time.

Sorting algorithms fall into a group on each of these properties:

  • Stable: Maintains a relative order when comparing equal values
  • Hybrid: Combines two or more sorting approaches (for example, by collection length)
  • In-place: Uses indices instead of full copies for passing collections around...