What is the difference between `multiprocessing.Pool.map()` and `multiprocessing.Pool.imap()` for large datasets?

Question

Python Developer — Hard

What is the difference between `multiprocessing.Pool.map()` and `multiprocessing.Pool.imap()` for large datasets?

Accepted Answer

`multiprocessing.Pool.map()` collects all results into a list before returning, consuming memory. On the other hand, `multiprocessing.Pool.imap()` returns an iterator, making it memory-efficient for large datasets but results may not be in submission order.