Learn to Build Rust Programs, Test Applications and Create Your Own Cargo Packages with latest Rust 1.77

"Rust In Practice, Second Edition" is an updated book that builds on the previous edition's excellent foundation and is intended to help readers progress from novice to proficient Rust developers. This new edition comes with Rust 1.77 version that goes deeper into Rust's core and advanced capabilities, making it suitable for learners at all levels.

Beginning with a basic introduction to Rust syntax and semantics, the Second Edition provides a clearer and more detailed explanation of Rust's distinctive ownership model and type system. Readers will thoroughly explore control flow, error management, and Rust's main data types, laying a solid foundation for more advanced topics. The book includes additional chapters on smart pointers, sophisticated error handling techniques, and the complexities of concurrency and parallelism, which address real-world programming issues. The book covers how to incorporate asynchronous programming features into projects, how to utilize and maintain Cargo, and a more in-depth look at Rust's standard library and the external crates ecosystem.

"Rust In Practice, Second Edition" is intended to serve as both a learning tool and a reference for developing high-performance applications. It is packed with professional advice, clear explanations, and practical examples. This book will not only teach you Rust programming, but it will also help you design software that is strong, simple, efficient, and easily maintainable.

 Key Learnings

• Master Cargo and its extensive command suite to streamline project builds and dependency management.
• Deepen your grasp of Rust’s type system, emphasizing ownership and borrowing to efficiently manage memory.
• Utilize advanced traits and generics to create flexible, reusable software components.
• Leverage closures, iterators, and asynchronous programming for high-performance, multi-threaded applications.
• Utilize collections, enhance string operations, and execute effective I/O.
• Explore sophisticated macro usage for metaprogramming and strategies to avoid unsafe code.
• 75+ practical examples showcasing Rust's latest features and best practices.
• Apply rigorous testing methods across diverse Rust applications, with new testing frameworks and methodologies.

 Table of Content

1. Why Rust!
2. Getting Ready with Rust Environment
3. Most Essentials of Rust
4. Structs
5. Enums and Pattern Matching
6. Exploring Ownership and Borrowing
7. Cargo, Crates and Packages
8. Cargo Commands
9. Rust Standard Library
10. Smart Pointers and Reference Cycles

If you want to learn how to program in Rust and create strong, reliable apps with the most recent version Rust 1.68, then you need the "Practical Rust 1.x Cookbook (Second Edition)"—a book full of real-world solutions. An extensive collection of practical recipes covering a wide range of topics, this edition expands upon the first and guarantees that you will be well-versed in the complexities of Rust.

You will learn the fundamentals of programming, how to set up a development environment, and the syntax of Rust in the first few chapters. Data structures, pattern matching, error handling, and concurrency are all covered in the recipes, which will set you up for success with more complex topics.As you go through the book, you'll learn how to write efficient and secure code by managing memory, using Rust's ownership model, and borrowing rules. You will gain an understanding of how to make use of robust Rust features such as traits, generics, and lifetimes to build code that is both flexible and reusable. The testing and debugging chapters provide the necessary tools and techniques to guarantee that your applications are dependable and free of bugs.

Using profiling tools like valgrind and perf, the cookbook teaches you how to find and fix performance bottlenecks, which is a major focus of performance optimization. By learning about SIMD instructions, compiler optimization flags, and parallel processing with libraries like rayon, you can greatly improve the efficiency of your code. In the more advanced chapters, you will learn how to use static and dynamic analysis, fuzz testing, and external high-performance libraries to make your applications even better. In no time at all, you will be able to build robust, high-performance Rust applications by following these potent recipes and becoming an expert Rust programmer.

Key Learnings

• Learn the ins and outs of Rust's ownership model to avoid data races and make sure memory is safe.
• Develop your skills in pattern matching and advanced error handling to create code that is both strong and easy to maintain.
• Use the robust primitives and rayon library in Rust to implement parallelism and concurrency.
• Use the perf, valgrind, and SIMD instructions to optimize performance for efficient execution.
• Carry out thorough fuzz testing and static analysis with clippy and cargo-fuzz.
• Enable efficient memory management by studying high-performance libraries such as hashbrown and jemalloc.
• With diesel and sqlx, you can manage databases and make queries and integrations a breeze.
• Optimize the deployment of Rust applications and establish CI/CD pipelines.

Table of Content

1. Setting up and Configuring Rust Environment
2. Hands-on Traits, Enums and Struct
3. Pattern Matching, Concurrency, Pointers and Modules
4. Using Declarative and Procedural Macros
5. Implementing Concurrency and Multithreading
6. Asynchronous Programming
7. Developing REST and SOAP APIs
8. Building Microservices & Architectures
9. Working around CI/CD
10. Working around Kubernetes
11. Fuzz Testing and Static Analysis
12. Code Performance Optimization

This book introduces you to web development with Rust and Leptos. To begin with, you install a solid Rust toolchain and set up Leptos in VS Code, and then you see your first "Hello World" interface rendered via WebAssembly right away. So, first you'll design a microservice-inspired book-selling sample app, called LibroCommerce, into inventory, orders, and user accounts. Then, you'll connect each piece with Axum handlers, SQLx queries, and shared Serde models.

By the time you get to Chapter 3, you'll have built a nonblocking, Tokio-driven server that handles dynamic routes, powers Leptos SSR pages, and secures endpoints with JWT and OAuth2. Then, you add real-time features: WebSockets send stock updates and order-status events to reactive Leptos signals, keeping the UI and backend in sync. As you go, you'll be writing end-to-end Playwright tests and setting up GitHub Actions so that every commit runs Rust tests, Playwright scenarios, Docker builds, and Kubernetes rollouts automatically. You'll learn how to connect to PostgreSQL with an async pool, model Books, Users, and Orders with Serde-annotated Rust structs, and implement CRUD, password hashing with Argon2, encrypted backups, and session stores in Redis. Performance tuning shows you how to optimize Tokio threads, tune SQLx pools, stream large result sets, debounce client inputs, and apply backpressure. At last, you put each microservice and frontend into Docker containers, deploy them with Kubernetes, and then use serverless.

It's packed with over 100 bite-sized examples and ready-to-run solutions, and it'll walk you through building and operating a production-style web application in Rust, step-by-step. You won't become a Rust language expert, but you'll finish ready to design, code, test, and deploy modern web apps.

Key Learnings

• Start using Rust and Leptos with VS Code to develop web applications using WebAssembly.
• Architect microservices with inventory, orders, and user modules for modular, scalable applications.
• Make servers that respond to user activity and are not blocked by other users. Use Tokio and Axum with dynamic routing and concurrency.
• Employ business logic with SQLX, transactions, and external API integration for real-world workflows.
• Protect your devices with JWT, OAuth2, Argon2 password hashing, HttpOnly cookies, and TLS encryption.
• Handle database state asynchronously, define Serde data models, and perform efficient CRUD operations.
• Utilize WebSockets, Leptos signals, and broadcast channels to enable real-time updates.
• Perform end-to-end testing with Playwright, integration tests, and automated CI pipelines for reliability.
• Put microservices and the frontend into containers using Docker, and use Kubernetes to orchestrate them so they can be deployed without any downtime.

Table of Content

1. Setting up Rust & Leptos Environment
2. Designing Modern Architecture
3. Building Application Server
4. Database Integration and State Management
5. Modern Interactions with REST, GraphQL, and OAuth
6. Front-end Development with Leptos and WebAssembly
7. Real-time Interactions using Websocket
8. Modern Security, Performance, and Cloud Strategies
9. Cloud-native Releases and Continuous Delivery