The Complete Rust Programming Reference Guide: Design, develop, and deploy effective software systems using the advanced constructs of Rust

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
What you will learn
Design and implement complex data structures in Rust
Create and use well-tested and reusable components with Rust
Understand the basics of multithreaded programming and advanced algorithm design
Explore application profiling based on benchmarking and testing
Study and apply best practices and strategies in error handling
Create efficient web applications with the Actix-web framework
Use Diesel for type-safe database interactions in your web application
Who this book is for
If you are already familiar with an imperative language and now want to progress from being a beginner to an intermediate-level Rust programmer, this Learning Path is for you. Developers who are already familiar with Rust and want to delve deeper into the essential data structures and algorithms in Rust will also find this Learning Path useful.

Table of Contents
Getting Started with Rust
Managing Projects with Cargo
Tests, Documentation, and Benchmarks
Types, Generics, and Traits
Memory Management and Safety
Error Handling
Advanced Concepts
Concurrency
Metaprogramming with Macros
Unsafe Rust and Foreign Function Interfaces
Logging
Network Programming in Rust
Building Web Applications with Rust
Lists, Lists, and More Lists
Robust Trees
Exploring Maps and Sets
Collections in Rust
Algorithm Evaluation
Ordering Things
Finding Stuff
Random and Combinatorial
Algorithms of the Standard Library