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)

Collections in Rust

In the previous chapters, we implemented a range of data structures, something that rarely happens in reality. Especially in Rust, the excellent Vec<T> covers a lot of cases, and if a map type structure is required, the HashMap<T> covers most of these too. So what else is there? How are they implemented? Why were they implemented if they won't be used? These are all great questions, and they'll get answered in this chapter. You can look forward to learning about the following:

  • Sequence data types such as LinkedList<T>, Vec<T>, or VecDeque<T>
  • Rust's BinaryHeap<T> implementation
  • HashSet<T> and BTreeSet<T>
  • How to map things with the BTreeMap<T> and HashMap<T>