Rust Fundamentals
Session 1: Introduction to Rust
- Overview of Rust and its ecosystem
- Setting up the Rust development environment
- Understanding Rust's design philosophy and safety features
Session 2: Basics of Rust Syntax
- Variables, data types, and mutability
- Control flow structures (if, loops, match)
Ownership and Borrowing
Session 1: Ownership in Rust
- Concepts of ownership, borrowing, and lifetimes
- Understanding how Rust manages memory
Session 2: Structs and Enums
- Defining and using structs and enums
- Implementing methods and associated functions
Rust Collections and Error Handling
Session 1: Common Collections
- Working with vectors, strings, and hash maps
- Understanding Rust's collection traits and iterators
Session 2: Error Handling
- Using Result and Option enums
- Error propagation and custom error types
Advanced Rust Features
Session 1: Advanced Features
- Understanding generics, traits, and lifetimes
- Exploring closures and iterators in depth
Session 2: Concurrency in Rust
- Basics of safe concurrency with Rust
- Using threads, message passing, and shared state concurrency
Rust for Systems Programming
Session 1: Systems Programming Concepts
- Low-level programming with Rust
- Interfacing with C and other languages
Session 2: Building a Project
- Applying Rust to a real-world project
- Project structure, dependency management, and best practices
Final Project and Wrap-Up
Capstone Project:
- Application of learned concepts in a comprehensive project.
Wrap-Up Session:
- Review key concepts, discuss best practices, and explore further learning resources.
Cross-Cutting Concerns
1. Emphasis on Memory Safety:
Highlighting Rust’s unique approach to memory management.
2. Error Handling:
Integrating robust error handling techniques in all coding activities.
3. Real-World Applications:
Focusing on practical examples and applications of Rust in various domains.
4. Code Quality and Best Practices:
Writing idiomatic Rust code and following community standards.
5. Using ChatGPT:
Leveraging ChatGPT for on-the-spot clarifications, additional explanations, and coding assistance. This integration facilitates interactive learning, offers instant feedback, and enhances understanding of complex Rust concepts. Participants can interact with ChatGPT for supplementary learning, problem-solving, and code optimization tips, making the training more dynamic and responsive to individual learning needs.