Implement thread-safe code, mutexes, semaphores, async/await patterns, and concurrent data structures. Use when handling parallel operations, race conditions, or building high-performance concurrent systems.

Concurrency Patterns Table of Contents [Overview]( overview) [When to Use]( when to use) [Quick Start]( quick start) [Reference Guides]( reference guides) [Best Practices]( best practices) Overview Implement safe concurrent code using proper synchronization primitives and patterns for parallel execution. When to Use Multi threaded applications Parallel data processing Race condition prevention Resource pooling Task coordination High performance systems Async operations Worker pools Quick Start Minimal working example: Reference Guides Detailed implementations in the references/ directory: Guide Contents [Promise Pool (TypeScript)](references/promise pool typescript.md) Promise Pool (TypeScript) [Mutex and Semaphore (TypeScript)](references/mutex and semaphore typescript.md) Mutex and Semaphore (TypeScript) [Worker Pool (Node.js)](references/worker pool nodejs.md) Worker Pool (Node.js) [Python Threading Patterns](references/python threading patterns.md) Python Threading Patterns [Async Patterns (Python asyncio)](references/async patterns python asyncio.md) Async Patterns (Python asyncio) [Go Style Channels (Simulation)](references/go style channels simulation.md) Go Style Channels (Simulation) Best Practices ✅ DO Use proper synchronization primitives Limit concurrency to avoid resource exhaustion Handle errors in concurrent operations Use immutable data when possible Test concurrent code thoroughly Profile concurrent performance Document thread safety guarantees ❌ DON'T Share mutable state without synchronization Use sleep/polling for coordination Create unlimited threads/workers Ignore race conditions Block event loops in async code Forget to clean up resources

concurrency-patterns