15 docs tagged with "async"

Master event loop internals including selectors, callbacks, timers, custom policies, uvloop, run_in_executor, and signal handling for production async systems.

Master async resource management with __aenter__/__aexit__, asynccontextmanager, AsyncExitStack, and production patterns for connection pools and sessions.

Build streaming data pipelines with async for, async yield, __aiter__/__anext__, async comprehensions, and finalization protocols for production async iteration.

Asynchronous LLM call patterns for high-throughput applications - concurrency control with semaphores, producer-consumer queues, token bucket rate limiting, circuit breakers, and async orchestration patterns.

asyncio internals, event loop tuning, connection pooling, backpressure, and high-throughput async patterns for production Python services.

Implement bounded concurrency, rate limiting, and circuit breakers with asyncio locks, semaphores, events, conditions, and barriers.

Build a rate-limited, fault-tolerant async scraper with backpressure.

Master Python's async/await model - coroutines, tasks, gather, event loop, async context managers, and building high-performance I/O-bound applications.

Production patterns for calling LLM APIs - authentication, retry logic, rate limiting, error handling, async calls, and the Anthropic and OpenAI Python SDKs.

Build awaitable objects with the __await__ protocol, understand how coroutines and Futures work under the hood, and create custom async primitives.

Dependency injection, lifespan events, background tasks, middleware, custom exception handlers, OpenAPI customisation, and production FastAPI patterns.

Go beyond asyncio basics into async generators, structured concurrency with TaskGroup, custom awaitables, async context managers, and production-grade async architectures.

Build production-grade async systems with error handling strategies, graceful shutdown, health checks, backpressure, async testing with pytest-asyncio, and structured logging.

Build an async pipeline processing multiple data streams with TaskGroup.

Master asyncio.TaskGroup for safe concurrent execution, understand why gather() leaks tasks, handle ExceptionGroups, and implement the nursery pattern.