What are the differences between HashMap and TreeMap in Python?

What are the differences between HashMap and TreeMap in Python?

In Python, we typically use dictionaries as HashMaps and the sortedcontainers module for TreeMaps. HashMaps offer average O(1) time complexity for lookups, while TreeMaps provide O(log n) due to their sorted nature.

When should I use a TreeMap instead of a HashMap?

You should use a TreeMap when you need to maintain the order of elements or require range queries. If order isn't important, a HashMap is more efficient.

Can you give an example of how to implement both in Python?

Sure! For a HashMap, you can use a simple dictionary: my_dict = {'a': 1, 'b': 2}. For a TreeMap, you can use from sortedcontainers import SortedDict; my_tree_map = SortedDict({'a': 1, 'b': 2}).

What are the memory implications of using each?

HashMaps generally use more memory due to their underlying array structure, while TreeMaps can be more memory-efficient for sorted data but may have overhead due to tree nodes.