What are the memory efficiency differences between Python collections?

What are the memory efficiency differences between lists, tuples, and sets in Python?

Lists are dynamic and can grow, but they use more memory due to overhead. Tuples are fixed-size and more memory-efficient. Sets, being unordered collections, also have overhead but are efficient for membership tests.

Why would I choose a tuple over a list?

Tuples are more memory-efficient and can be used as keys in dictionaries, while lists cannot. They also provide a guarantee that the data won't change.

Are there any scenarios where using a set is better than using a list?

Yes, sets are better for operations like membership tests and removing duplicates, as they have average O(1) time complexity for these operations.

How can I measure the memory usage of these collections?

You can use the sys.getsizeof() function from the sys module to measure the memory usage of different collections in Python.