Learn Rust in 3 Months

Nina Baghdasaryan — Thu, 21 Nov 2024 07:58:14 +0000

Month 1: Foundations
Week 1: Getting Started
Set Up the Environment:

Install Rust using rustup.
Install a text editor or IDE (e.g., Visual Studio Code with Rust Analyzer extension).
Set up Cargo, Rust's package manager.
Learn Basic Syntax:

Read through the official Rust Book Chapters 1-3.
Write your first "Hello, World!" program.
Experiment with variables, data types, and functions.
Understand Ownership:

Study the Ownership system (Chapters 4-5 of The Rust Book).
Practice coding small examples focusing on borrowing and references.
Week 2: Core Concepts
Control Flow and Pattern Matching:

Read Chapters 6 and 18 from The Rust Book.
Practice if, match, and loops with small programs.
Error Handling:

Learn about Result and Option types.
Write programs that use error handling, like file I/O.
Collections and Iterators:

Study the Vec, HashMap, and String types.
Practice iterators with .map(), .filter(), and .collect().
Week 3: Practice
Build Mini Projects:
Write a CLI calculator.
Create a program that reads from a file and processes data.
Reinforce Concepts:
Solve challenges on Exercism or LeetCode in Rust.
Week 4: Advanced Foundations
Learn Lifetimes and Traits:

Read Chapters 10 and 15 from The Rust Book.
Write examples using lifetimes and generic types.
Explore Enums and Structs:

Build small programs using enums and structs.
Understand how they work with pattern matching.
Month 2: Intermediate Projects
Week 1: Concurrency and Asynchronous Programming
Learn Concurrency Basics:

Read Chapter 16 from The Rust Book.
Practice using threads and Arc.
Explore Asynchronous Programming:

Learn async and await with the Async Book.
Build a small project using the tokio or async-std crate.
Week 2: Memory Management and Unsafe Rust
Deep Dive into Memory:

Understand stack vs heap allocation.
Learn about Rust's smart pointers (Box, Rc, Arc).
Study Unsafe Rust:

Read Chapter 19 of The Rust Book.
Experiment with raw pointers and unsafe blocks in a sandbox environment.
Week 3-4: Build Projects
Build a CLI Tool:

Use the clap crate for parsing arguments.
Add functionality like file parsing or network requests.
Create a Web Application:

Use the actix-web or rocket crate.
Build a simple API with endpoints for CRUD operations.
Month 3: Advanced Topics and Portfolio
Week 1: Ecosystem and Tooling
Explore Popular Crates:

Learn serde for serialization/deserialization.
Use reqwest for HTTP requests.
Study tokio for asynchronous programming.
Understand Testing:

Write unit tests using the #[test] attribute.
Explore integration testing.
Week 2: Systems Programming
Build a Command-Line Tool:

Use Rust for scripting tasks.
Create a utility like a file watcher or log analyzer.
Learn FFI (Foreign Function Interface):

Interact with C libraries using unsafe and FFI.
Week 3-4: Capstone Project
Choose a Real-World Project:

Ideas: A web scraper, a simple game, a microservice, or a blockchain simulator.
Document and Refactor:

Write clear documentation.
Optimize code for readability and performance.
Contribute to Open Source:

Find a beginner-friendly project on GitHub labeled with good-first-issue.
Make a meaningful contribution to a Rust project.
Additional Tips
Community: Join the Rust community on Discord, Reddit, or forums to ask questions and share progress.
Books: Supplement with "Programming Rust" by Jim Blandy for deeper dives.
Practice: Consistently code daily, even if it's for 30 minutes.

The Multiple Dimensions of Spuriousness in Machine Learning

Nina Baghdasaryan — Thu, 21 Nov 2024 07:53:36 +0000

Machine learning's foundational reliance on learning correlations from data encompasses multiple dimensions of potential spuriousness (relevance, generalizability, human-likeness, and harmfulness) that go beyond simple causal/non-causal relationships, with significant implications for responsible AI development and deployment.

Forem: Nina Baghdasaryan

Learn Rust in 3 Months

The Multiple Dimensions of Spuriousness in Machine Learning