When should I use multithreading in Python?

When should I use multithreading in Python?

You should consider using multithreading in Python when you have I/O-bound tasks, like network requests or file operations, that can run concurrently.

Can you give me an example of an I/O-bound task?

Sure! An example of an I/O-bound task is downloading multiple files from the internet at the same time. Multithreading can help speed up this process.

What about CPU-bound tasks? Is multithreading useful for those?

For CPU-bound tasks, multithreading may not be as effective due to Python's Global Interpreter Lock (GIL). Instead, you might want to use multiprocessing.

How do I implement multithreading in Python?

You can use the threading module in Python. Create a thread by instantiating Thread and passing the target function to it.