How can I optimize the performance of Python dictionaries?

How can I optimize the performance of Python dictionaries?

You can optimize Python dictionaries by using appropriate data types, minimizing resizing, and leveraging built-in methods.

What are some specific techniques to reduce memory usage?

Consider using __slots__ in your classes, or using collections.defaultdict to avoid unnecessary key checks.

Are there any performance benchmarks available?

Yes, you can find benchmarks comparing dictionary performance in different scenarios on sites like Python's official documentation.

How do dictionaries compare to other data structures in Python?

Dictionaries offer average O(1) time complexity for lookups, which is faster than lists (O(n)), but they use more memory.