Introduction

Why Rust?

Rust is a systems programming language designed for performance, reliability, and productivity. It gives you control over low-level details like memory layout and allocation — without the segfaults, buffer overflows, and data races that make C and C++ so error-prone.

The key insight behind Rust is its ownership system: a set of compile-time rules that guarantee memory safety without needing a garbage collector. No runtime pauses. No dangling pointers. No use-after-free. These bugs are caught at compile time, not at 3 AM in production.

  • Memory safety without GC — The borrow checker enforces ownership rules at compile time, eliminating entire classes of bugs.
  • Zero-cost abstractions — High-level features like iterators, closures, and generics compile down to the same machine code as hand-written C.
  • Fearless concurrency — The ownership system prevents data races at compile time, making parallel code safe to write.
  • Expressive type system — Algebraic data types, traits, generics, and pattern matching let you model your domain precisely.

The Story

Rust was created by Graydon Hoare at Mozilla in 2006. Mozilla adopted the language in 2009 and released Rust 1.0 in May 2015 with a stability guarantee: code written for Rust 1.0 would compile correctly on every future Rust release.

The Rust compiler is now maintained by the Rust Foundation, formed in 2021, with founding members including AWS, Google, Microsoft, Huawei, and Mozilla. Rust has been the most loved programming language in the Stack Overflow Developer Survey for nine consecutive years.

In 2022, Rust became the second language (after C and assembly) approved for Linux kernel development — a milestone that reflects the language's production readiness.

What You Will Learn

This course contains 20 lessons organized into 5 chapters:

  1. The Basics — Hello World, variables and mutability, data types, functions, and control flow.
  2. Ownership & Memory — Rust's ownership model, references and borrowing, string types, and slices.
  3. Structs, Enums & Patterns — Defining custom types, implementing methods, Option, Result, and pattern matching.
  4. Traits & Generics — Defining shared behavior with traits, writing generic code, closures, and iterators.
  5. Collections — Vec, HashMap, and idiomatic collection manipulation.

Each lesson explains the concept, shows examples, and gives you an exercise to implement.

Let's get started.

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