Book Image

Mastering Rust - Second Edition

By : Rahul Sharma, Vesa Kaihlavirta
Book Image

Mastering Rust - Second Edition

By: Rahul Sharma, Vesa Kaihlavirta

Overview of this book

Rust is an empowering language that provides a rare combination of safety, speed, and zero-cost abstractions. Mastering Rust – Second Edition is filled with clear and simple explanations of the language features along with real-world examples, showing you how you can build robust, scalable, and reliable programs. This second edition of the book improves upon the previous one and touches on all aspects that make Rust a great language. We have included the features from latest Rust 2018 edition such as the new module system, the smarter compiler, helpful error messages, and the stable procedural macros. You’ll learn how Rust can be used for systems programming, network programming, and even on the web. You’ll also learn techniques such as writing memory-safe code, building idiomatic Rust libraries, writing efficient asynchronous networking code, and advanced macros. The book contains a mix of theory and hands-on tasks so you acquire the skills as well as the knowledge, and it also provides exercises to hammer the concepts in. After reading this book, you will be able to implement Rust for your enterprise projects, write better tests and documentation, design for performance, and write idiomatic Rust code.
Table of Contents (19 chapters)

Generics

From the dawn of high-level programming languages, the pursuit of better abstraction is something that language designers have always strived for. As such, many ideas concerning code reuse emerged. The very first of them was functions. Functions allow you to chunk away a sequence of instructions within a named entity that can be called later many times, optionally accepting any arguments for each invocation. They reduce code complexity and amplify readability. However, functions can only get you so far. If you have a function, say avg, that calculates the average of a given list of integer values and later you have a use case where you need to calculate the average for a list of float values too, then the usual solution is to create a new function that can average float values from the list of floats. What if you wanted to accept a list of double values too? We probably...