Learn Mojo by Example

A systems-first approach to learning Mojo. The curriculum is made in a sense that it goes from semantics to memory to performance to compilation to systems — also including some projects.

What is Mojo?

Mojo is a programming language that combines Python's usability with systems-level performance. It compiles through MLIR and LLVM, giving direct control over memory layout, SIMD operations, and hardware acceleration.

How This Works

Each section has:

• Concept — 1–2 paragraphs, no more
• Code — One minimal example demonstrating the primitive
• Constraint — One exercise that forces specific behavior
• Performance Note — Why it matters for hardware

The blog is structured without overwhelming details. Approach is understand the basics first, then build on top of that.

The Path

• Phase 1: Execution & Semantics — compiled execution, types, mutability, control flow, functions
• Phase 2: Memory & Data Layout — structs, ownership, arrays, cache locality
• Phase 3: Hardware & Parallelism — SIMD, Python interop, compute kernels
• Phase 4: Compilation & Abstraction — MLIR pipeline, abstraction costs
• Phase 5: Systems Synthesis — optimized GEMM, tensor structs, operator fusion