FastAPI Asynchronous Programming: A Practical Guide from Basics to Simple Applications

FastAPI asynchronous programming is suitable for I/O - intensive tasks. The core is to avoid blocking the event loop. Asynchronous views are defined using `async def`, and calling asynchronous functions requires `await` (for example, simulating a database query). Synchronous views use `def` and are suitable for simple logic or CPU - intensive tasks. Asynchronous views are non - blocking and can handle multiple requests at the same time. For asynchronous database operations, SQLAlchemy 1.4+ (requires an asynchronous driver) or Tortoise - ORM (more concise) can be chosen. For task processing: `asyncio.create_task` is used for small tasks, and asynchronous queues (such as Celery + Redis) are used for long - running tasks. `time.sleep()` should be avoided and `asyncio.sleep()` should be used instead. Also, stay away from CPU - intensive operations. By mastering these key points, you can efficiently build high - concurrency asynchronous applications.