Stop choosing between speed and safety. Master the language that gives you both.
For decades, developers have been forced to make a the raw performance of C/C++ (at the cost of memory safety) or the safety of languages like Java and Python (at the cost of garbage collectors and runtime overhead). Rust solves this problem, and "Rust for Developers" is your practical, project-based guide to mastering it.
This book is written for the experienced programmer. Whether you come from C++, Go, Python, or Java, you already know how to code. This guide teaches you the Rust philosophy, showing you how to leverage your existing skills to write fast, modern, and incredibly safe systems-level software.
Forget abstract theory. You will learn by building. This hands-on guide walks you through Rust's most powerful and unique features, including the ownership and borrowing model that provides compile-time memory safety without a garbage collector.
Inside "Rust for Developers," you
Master the Build an intuitive understanding of Rust's Ownership, Borrowing, and Lifetimes.
Write Fearless Learn how Rust's type system prevents data races at compile time, allowing you to write parallel code with confidence.
Build Powerful Use traits, generics, and enums to build flexible and reusable, zero-cost abstractions.
Handle Errors Master the Result and Option enums for production-grade error handling.
Profile and Use Rust's built-in tools to find and fix performance bottlenecks.
Bridge the Interface with C code using Rust's Foreign Function Interface (FFI).
Build Two Complete, Real-World
A Parallel CLI Build a high-performance, multi-threaded "rsgrep" command-line utility, mastering CPU-bound tasks and parallel processing.
A High-Performance Web Create a modern, asynchronous "todo_api" web server, learning to handle I/O-bound tasks with tokio and axum.
Stop fighting with trade-offs and start building the next generation of software. This book is your practical path to becoming a proficient, fearless Rust developer.
Get your copy today and master modern systems programming.