Async Python Libraries vs Threading: Which is Better?

What are the main differences between async Python libraries and threading?

Async Python libraries, like asyncio, allow for concurrent code execution using an event loop, while threading uses multiple threads to run tasks in parallel. Async is generally more efficient for I/O-bound tasks, while threading can be better for CPU-bound tasks.

Can you give me examples of popular async libraries?

Sure! Some popular async libraries in Python include asyncio, aiohttp for HTTP requests, and FastAPI for building web applications.

When should I use threading instead of async?

You should consider using threading when your tasks are CPU-bound and require parallel execution, such as heavy computations, where async might not provide the performance benefits.

Are there any downsides to using async libraries?

Yes, async libraries can introduce complexity in code structure and debugging. They also require a different programming model, which might have a learning curve for those used to synchronous programming.