Async Patterns

Asynchronous programming introduces several patterns and best practices. The producer-consumer pattern uses queues to coordinate between tasks. Connection pooling is important for managing limited resources like database connections. Timeout handling prevents tasks from hanging indefinitely. Error handling requires careful consideration since exceptions in async code might not be immediately apparent. Context managers (async with) help manage resources that need async setup/teardown. Synchronization primitives (locks, semaphores) prevent race conditions in shared resources. Cancellation handling allows graceful shutdown of tasks. Understanding these patterns is crucial for building robust asynchronous applications. It's also important to understand when to use async programming (I/O-bound tasks) and when to avoid it (CPU-bound tasks, which might block the event loop). Proper testing and debugging of async code requires special techniques since traditional debugging tools might not work well with the event loop model.