Hands-On Data Structures and Algorithms in Rust

Hands-On Data Structures and Algorithms in Rust

Rust is a modern systems programming language designed with safety to simplify the development of large, complex software projects. Data structure and Algorithms are key to help in the collection and organization of the data for performing operations on the data and set instructions/logic to accomplish tasks in these projects. This course will be your guide for implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer.

You will begin with a primer to Rust and its syntax. You will then explore the language of Time and Memory complexity by comparing different sorting methods. You’ll then learn about Lists and Binary Trees, implement them, and compare them, to show the advantages and use cases of each. Next, you will cover different algorithms in-depth such as sorting, graph, dynamic programming, greedy, divide and conquer, and more. You will learn how counterintuitive techniques can actually make it easier to build scalable projects!

By the end of the course, you will have a sound knowledge of the key data structures and algorithms in Rust to confidently implement them in your applications.

About the Author

Matthew Stoodley is a programming expert and enthusiast, who was drawn to learn about Rust and master its features initially due to its low power usage and memory safety capabilities. He primarily uses Rust to build board games.

In addition, he also possesses several years of experience in Go, PHP, and JavaScript.

Learn about common and useful Data Structures and Algorithms

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What you will learn

• How Rust can help you keep your memory access safe and effective
• How we can use Rust to build Generic Algorithms that we can use again and again across our codebase
• Greedy, dynamic, and Iterative algorithms and when to use them

Rating: 4.35294

Level: Beginner Level

Duration: 7 hours

Instructor: Packt Publishing