Hands-On Data Structures and Algorithms with Rust

Rust’s ownership and borrowing rules do more than govern memory: they influence how familiar data structures are designed and how algorithms work in practice. Hands-On Data Structures and Algorithms with Rust brings those ideas together, showing how core computer-science techniques take shape in Rust 2018.

Build the Rust foundations first

The book opens with language concepts that matter when implementing algorithms, including ownership, borrowing, lifetimes, mutability, and concurrency. It also introduces Cargo and crates, giving readers context for organizing Rust projects before they begin building more involved structures.

From lists to trees and graphs

Move from storage fundamentals into hands-on exploration of linked lists, dynamic arrays, stacks, queues, trees, and graphs. Working through different structures helps clarify how design choices affect the way data is stored, accessed, and managed in Rust.

Understand the work algorithms do

Searching, sorting, hashing, and algorithm analysis expand the focus beyond implementation alone. The book also addresses approaches including brute force, greedy algorithms, divide and conquer, dynamic programming, and backtracking—useful foundations for recognizing how different problems call for different strategies.

Practical Rust for curious developers

With its emphasis on implementation and readable, maintainable code, this guide suits developers who already know some Rust and want to deepen their understanding of data structures and algorithms. It connects language fundamentals with the decisions involved in building reusable, testable components.

For readers ready to explore what classic computer-science ideas look like through Rust’s distinctive lens, this book offers a structured place to start.