How can I optimize collections in Python for better performance?
You can optimize collections in Python by choosing the right data structure, like using sets for membership tests.
What are the differences between lists, tuples, and sets in terms of performance?
Lists are mutable and allow duplicates, but they are slower for membership tests. Tuples are immutable and faster, while sets are the fastest for membership tests but do not allow duplicates.
When should I use a dictionary instead of a list?
Use a dictionary when you need to associate keys with values for fast lookups, while lists are better for ordered collections.
Can you give me an example of using a defaultdict?
Sure! A defaultdict can be used to automatically create a list for each key: from collections import defaultdict; d = defaultdict(list)
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