What are the alternatives to GIL?

What are the alternatives to GIL in Python?

The Global Interpreter Lock (GIL) can be a limitation for multi-threaded programs in Python. Alternatives include using multiprocessing, which allows you to create separate processes, or using libraries like asyncio for asynchronous programming.

Can you explain how multiprocessing works?

Sure! Multiprocessing involves creating multiple processes, each with its own Python interpreter and memory space. This allows you to bypass the GIL and utilize multiple CPU cores effectively.

Are there any libraries that help with multiprocessing?

Yes, the multiprocessing module in Python's standard library is a great option. Additionally, libraries like Dask and Joblib can simplify parallel processing.

What about using asyncio? How does it compare?

Asyncio is great for I/O-bound tasks and allows you to write concurrent code using the async/await syntax. Unlike multiprocessing, it doesn't create separate processes, so it's more lightweight but may not utilize multiple CPU cores effectively.