Rust Recipes for Beginners

A book for beginners in Rust, not beginners in programming

Chapter Titles	Concepts & Technologies Covered	Status
Introduction	Cargo, Project Initialization, Workspaces, Modules, Dependencies	Done
Chapter 1: Cargo: Managing Rust Projects	Cargo, Project Initialization, Workspaces, Modules, Dependencies	Done
Chapter 2: Functional Programming in Rust	Iterators, Closures, Mapping, Filtering, Folding, Enumerating	Done
Chapter 3: Error Handling	Result & Option, ? Operator, anyhow, thiserror, Custom Errors	Done
Chapter 4: Command Line Applications	clap, CLI Development, Argument Parsing, Environment Variables	Done
Chapter 5: Logging and Monitoring	log, tracing, Diagnostics, Monitoring Tools	Done
Chapter 6: Serialization and Deserialization	Serde, JSON, YAML, TOML, CSV, Bincode, Custom Serialization	In progress
Chapter 7: Memory Management and Smart Pointers	Ownership, Box, Rc, Arc, Mutex, RefCell, Weak, Drop, unsafe
Chapter 8: Design Patterns	Creational, Structural, Behavioral Patterns, Traits, Enums, Smart Pointers
Chapter 9: Asynchronous Programming	async/await, Tokio, Futures, Async I/O, Task Management, Concurrency, Crossbeam
Chapter 10: Working with Databases	SQLite, MySQL, PostgreSQL, SQLx, SeaORM, Diesel, Async Database Operations	In progress
Chapter 11: Web Development	Axum, Actix, reqwest, ureq, hyper, HTTP Clients, Servers, APIs, Asynchronous Web
Chapter 12: Building AI Pipelines with LangChain-Rust	LLMs, Embeddings, Vector Stores, Document Loaders, AI Integration
Chapter 13: Integrations with Other Languages	UniFFI, WebAssembly, FFI, Cross-Language Support, Memory Safety in FFI
Chapter 14: Cryptography	Hashing (SHA), Encryption (RSA, AES), Digital Signatures, ring, Key Management	In progress

Examples and Source Code for Each Chapter

https://github.com/evgenyigumnov/rust-recipes-for-beginners/tree/main/examples

Contributing

I would love to see contributions from the community. Simple steps to contribute:

1. Do fork
2. Write your list of recipes for the chapter. Ask the AI to expand on it. Ask the AI to describe the recipe and provide code examples. Compile and run the code. Make adjustments as needed. Repeat this process for each recipe individually. Merge the resulting recipes into the text of the chapter. Add the source code to the examples folder.
3. Create pull request

Good luck!