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

Chapter 2. Managing Projects with Cargo

Now that we are familiar with the language and how to write basic programs, we'll level up towards writing practical projects in Rust. For trivial programs that can be contained in a single file, compiling and building them manually is no big deal. In the real world, however, programs are split into multiple files for managing complexity and also have dependencies on other libraries. Compiling all of the source files manually and linking them together becomes a complicated process. For large-scale projects, the manual way is not a scalable solution as there could be hundreds of files and their dependencies. Fortunately, there are tools that automate building of large-scale software projects—package managers. This chapter explores how Rust manages large projects with its dedicated package manager and what features it provides to the developer to enhance their development experience. We will cover the following topics:

  • Package managers
  • Modules
  • The Cargo...