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)


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 4, 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...