Jim Blandy

Jason Orendorff

This practical book introduces systems programmers to Rust, the new and cutting-edge language that’s still in the experimental/lab stage. You’ll learn how Rust offers the rare and valuable combination of statically verified memory safety and low-level control—imagine C++, but without dangling pointers, null pointer dereferences, leaks, or buffer overruns. Author Jim Blandy—the maintainer of GNU Emacs and GNU Guile—demonstrates how Rust has the potential to be the first usable programming language that brings the benefits of an expressive modern type system to systems programming. Rust’s rules for borrowing, mutability, ownership, and moves versus copies will be unfamiliar to most systems programmers, but they’re key to Rust’s unique advantages. This book presents Rust’s rules clearly and economically; elaborates on their consequences; and shows you how to express the programs you want to write in terms that Rust can prove are free of a broad class of common errors.

Programming Rust

Leonora Tindall

The Rust programming language offers the rare and valuable combination of statically verified memory safety and low-level control. Imagine C++ but without dangling pointers, null pointer dereferences, or buffer overruns, and with a deep library of freely reusable libraries. This practical guide gives systems and application programmers alike a solid understanding of Rust's rules, and shows how to put them to work ensuring their programs are not only efficient, but free of broad classes of common errors. Rust brings the benefits of an expressive modern type system to systems programming. Authors Jim Blandy, Jason Orendorff, and Leonora F.S. Tindall demonstrate how Rust's features put programmers in control over memory consumption and processor use, combining predictable performance with memory safety and trustworthy concurrency. You'll learn: How to write fast, safe, concurrent programs in Rust Rust's rules for managing memory efficiently, including ownership, borrowing, moves, and lifetimes How to design interfaces that fit well into the Rust ecosystem Cargo, Rust's all-purpose tool for building, testing, and managing Rust packages High-level features like traits, generics, closures, and iterators that make Rust productive and flexible

Fast, Safe Systems Development

Leonora F.S. Tindall

Systems programming provides the foundation for the world's computation. Developing 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 interthread data races. 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 Language basics including error handling, crates and modules, structs, and enums How to write flexible, efficient code with traits and generics Rust's key power tools: closures, iterators, and asynchronous programming Collections, strings and text, input and output, concurrency, macros, unsafe code, and interfacing with foreign functions This updated edition covers Rust 1.50 (February 2021).

Leonora F .S. Tindall

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 This revised, updated edition covers the Rust 2021 Edition.

Jason Orendorff

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