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)

Summary

Rust is a multi-paradigm language with exceptional concepts: the language emphasizes data and behavior separation with structures and traits, uses macros for metaprogramming, and leverages explicit ownership of memory to determine variable lifetimes. Knowing these lifetimes removes the need for runtime garbage collection and, at the same time, greatly facilitates concurrency by allowing mutable borrowing only in certain circumstances.

Consequently, threads and other asynchronous processes can change variables only when they have mutable ownership of them, something that is mostly enforced at compile time, but can also be done at runtime! Therefore, safe Rust is effectively free of data races.

Another strong point of the Rust ecosystem is its diverse and welcoming community. Sponsored by Mozilla, development is guided by RFCs, events are organized and centrally advertised, and learning resources are available online. Another way to be a part of the ecosystem is to contribute packages to crates.io (https://crates.io/), Rust's public package repository. Read the next chapter to find out more about cargo, Rust's universal tool to build and package.