Programming Rust: Fast, Safe Systems Development

Programming Rust: Fast, Safe Systems Development - a book by Jim Blandy, Jason Orendorff & Leonora Tindall (Revised 2nd Edition)

Systems programming provides the foundation for the world's computation. Writing performance-sensitive code requires a programming language that puts programmers in control of how memory, processor time, and other system resources are used. The Rust systems programming language combines that control with a modern type system that catches broad classes of common mistakes, from memory management errors to data races between threads.

With this practical guide, experienced systems programmers will learn how to successfully bridge the gap between performance and safety using Rust. Jim Blandy, Jason Orendorff, and Leonora Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use by combining predictable performance with memory safety and trustworthy concurrency.

You'll learn:

• Rust's fundamental data types and the core concepts of ownership and borrowing
• How to write flexible, efficient code with traits and generics
• How to write fast, multithreaded code without data races
• Rust's key power tools: closures, iterators, and asynchronous programming
• Collections, strings and text, input and output, macros, unsafe code, and foreign function interfaces

Customer reviews:

" The ultimate book on Rust programming. "Programming Rust" covers a wide variety of topics and goes into details on many of them. Highly recommended."

"Currently, there's no better rust book. I'd thought I knew most of it and had a great handle on the syntax, and I was still learning things- this is far more complete than most of the online articles I've been reading."

"I highly recommend this book if you want to learn Rust. Even after reading the book, I still see myself continuing to use this as a reference in the future."

This revised, updated edition covers the Rust 2021 Edition and is currently #1 Best Seller in Parallel Computer Programming on Amazon.

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