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

Explanation

`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.

Key points

map() stores all results in memory, imap() yields results lazily
imap() is memory-efficient for large datasets
Results from imap() may not be in submission order
Use imap_unordered() to avoid unordered results

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