What is concurrency in Python and how does it work?

What is concurrency in Python and how does it work?

Concurrency in Python refers to the ability to run multiple tasks simultaneously. It can be achieved using threads, processes, or asynchronous programming.

Can you explain the difference between threading and multiprocessing?

Sure! Threading allows multiple threads to run in the same process, sharing memory space, while multiprocessing creates separate processes with their own memory space, which can be more efficient for CPU-bound tasks.

What are some common libraries used for concurrency in Python?

Common libraries include threading, multiprocessing, and asyncio. Each serves different use cases depending on whether you need threads, processes, or asynchronous I/O.

When should I use asyncio instead of threading?

Use asyncio when dealing with I/O-bound tasks, like network requests, where you can benefit from non-blocking operations. Threading is better for CPU-bound tasks.