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Rust for C++ Developers

Rust for C++ Developers

By : Dan Olson
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Rust for C++ Developers

Rust for C++ Developers

By: Dan Olson

Overview of this book

If you're a C++ programmer curious about the rising popularity of Rust, this book will guide you through the transition with clarity and purpose. Written by a veteran C++ developer who embraced Rust to improve software quality and maintainability, this hands-on guide shows you how to apply your existing knowledge to build efficient and safe systems with Rust. The first half of the book deep dives into Rust’s history, safety guarantees, and development tooling. From there, the book compares Rust and C++ side by side, covering syntax, SIMD instructions, file I/O, object orientation, and data structures. With each chapter, you’ll gain a practical understanding of Rust’s unique approaches—like ownership and borrowing—and how they solve long-standing challenges in C++. Later half of the book tackles performance optimization, multithreading, macros, and foreign function interfaces, culminating in a complete project where you reimplement a C++ program in Rust. By focusing on real-world code and familiar concepts, this book makes Rust accessible and actionable for experienced C++ developers. By the end of Rust for C++ Developers, you’ll be confident in your ability to read, write, and maintain production-grade Rust code, and you’ll have a clear roadmap for integrating Rust into your future projects.
Table of Contents (20 chapters)
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Lock Free Chapter
1
Part 1: Understanding Rust Basics
6
Part 2: Exploring the Rust Standard Library
12
Part 3: Moving into Advanced Rust
18
Index

Examining iterator performance

As C++ programmers, we must often deal with performance-sensitive code. It is natural for us to wonder about the runtime performance of these chains of potentially complicated iterator expressions. But as a result of lazy evaluation, generic function evaluation, and extensive inlining, performance in optimized builds ends up being quite good. In some tests, it has even been shown to outperform a hand-written loop. In this section, we'll examine how the Rust compiler can perform such a feat.

Dissecting an iterator expression

It might be hard to believe that iterator performance can beat a hand-written loop without seeing it in action, so let's go through a simple example. We'll dive deeply into an iterator expression, unrolling and inlining it by hand to get a sense of how the compiler will see it.

Our expression will be the relatively simple v.into_iter().filter(|x| x % 2 == 0).map(|x| x * 2).sum(), where v is a vector of u32...

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Rust for C++ Developers
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