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
It tackles "the hard bits" of Rust in masterful and clear manner. Topics such as "borrowing" and "lifetimes".
I haven't yet tried writing serious Rust code, and I suspect I shall find it a steep learning curve. But I'm also expecting the reward of robust code and easy parallelism.