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python - What makes sets faster than lists?

The python wiki says: "Membership testing with sets and dictionaries is much faster, O(1), than searching sequences, O(n). When testing "a in b", b should be a set or dictionary instead of a list or tuple."

I've been using sets in place of lists whenever speed is important in my code, but lately I've been wondering why sets are so much faster than lists. Could anyone explain, or point me to a source that would explain, what exactly is going on behind the scenes in python to make sets faster?

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list: Imagine you are looking for your socks in your closet, but you don't know in which drawer your socks are, so you have to search drawer by drawer until you find them (or maybe you never do). That's what we call O(n), because in the worst scenario, you will look in all your drawers (where n is the number of drawers).

set: Now, imagine you're still looking for your socks in your closet, but now you know in which drawer your socks are, say in the 3rd drawer. So, you will just search in the 3rd drawer, instead of searching in all drawers. That's what we call O(1), because in the worst scenario you will look in just one drawer.


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