How do different Python concurrent libraries compare in performance?

How do different Python concurrent libraries compare in performance?

There are several concurrent libraries in Python, such as threading, multiprocessing, and asyncio. Each has its strengths and weaknesses depending on the use case.

Can you provide a specific example of when to use asyncio over threading?

Sure! Use asyncio for I/O-bound tasks like web scraping or network requests, where you can benefit from non-blocking calls.

What about CPU-bound tasks? Which library is better for those?

For CPU-bound tasks, the multiprocessing library is generally better as it can utilize multiple CPU cores effectively.

Are there any benchmarks available for these libraries?

Yes, there are various benchmarks available online that compare the performance of these libraries under different scenarios. Would you like me to find some specific ones?