Book Image

Hands-On Data Structures and Algorithms with Rust

By : Claus Matzinger
Book Image

Hands-On Data Structures and Algorithms with Rust

By: Claus Matzinger

Overview of this book

Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer. The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking. By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.
Table of Contents (15 chapters)

Cargo and Crates

Rust is a rather young language that has been designed from scratch to be a practical and useful tool for programmers. This is a great situation to be in: there are no legacy applications to care about, and many lessons learned from other languages have been incorporated in Rust—especially around tooling.

Integrating and managing third-party packages has been an issue in the past for a lot of languages, and there are a few different approaches out there:

  • NPM: The package manager for Node, which has been very popular with the JavaScript community
  • Maven: Enterprise-grade Java package management, based on the XML format
  • NuGet: .NET's package management
  • PyPI: The Python package index

Each of these has different styles of configuration, naming guidelines, publishing infrastructure, features, plugins, and so on. The Rust team learned from all of these...