Async Performance Patterns
asyncio internals, event loop tuning, connection pooling, backpressure, and high-throughput async patterns for production Python services.
asyncio internals, event loop tuning, connection pooling, backpressure, and high-throughput async patterns for production Python services.
Master Python's async/await model - coroutines, tasks, gather, event loop, async context managers, and building high-performance I/O-bound applications.
Apply asyncio in production - async FastAPI routes, background tasks, async database access, connection pools, and handling concurrency in a real API service.
Master concurrency in Python - threading, multiprocessing, asyncio, event loops, race conditions, locks, and building production async systems.
Build an async FastAPI service that aggregates data from multiple external APIs concurrently - with caching, rate limiting, circuit breaking, and background refresh.
Build a production-grade concurrent web scraper using ThreadPoolExecutor and asyncio - rate limiting, retry logic, robots.txt compliance, and structured output.
Understand Python's asyncio event loop at engineering depth - how it works, selectors, callbacks, handles, and debugging event loop issues in production.