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Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust

By : Claus Matzinger
2.7 (3)
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Hands-On Data Structures and Algorithms with Rust

Hands-On Data Structures and Algorithms with Rust

2.7 (3)
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)
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Chapter 1

What are traits and how are they different from interfaces?

Traits are pieces of functionality shared across components. They can contain code as well as associated types, and can be implemented for any type and generics independently. Interfaces, on the other hand, describe the public methods a class provides, without an implementation and typically with inheritance. Rust only has traits.

Why doesn't Rust have a garbage collector?

Garbage collection is required to free up unused heap memory that is generated from a running the program. Rust avoids this by providing a static code analysis at compile-time that forces the user to think of variable lifetimes. These lifetimes are very strictly defined and require a lifetime scope to own or borrow memory so that the compiler knows when it's not being used without an explicit statement.

Name three examples of how...

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