Book Image

The Complete Rust Programming Reference Guide

By : Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Book Image

The Complete Rust Programming Reference Guide

By: Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger

Overview of this book

Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: • Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta • Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Table of Contents (29 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Summary


In this chapter, we explored a lot about building web applications with Rust and how easy it is to get started, given the high-quality crates that are available to us. Being a compiled language, web applications written in Rust are many times smaller than other frameworks that are written in dynamic languages. Most of the web framework space is dominated by interpreted dynamic languages that can hog a lot of CPU but aren't very resource-efficient. However, people use them because web applications are very convenient to write with them.

Web applications that are written with Rust take up a lot less space at runtime. Rust also takes up less memory during runtime, as no interpreter is needed, as is the case with dynamic languages. With Rust, you get the best of both worlds, that is, the same feel of dynamic languages while at the same time being performant, like C. This is a great deal for the web.

In the next chapter, we'll dive deeper into lists.