How can I improve the performance of dictionary iteration in Python?

How can I improve the performance of dictionary iteration in Python?

You can improve performance by using methods like items(), keys(), or values() instead of iterating directly.

What about using list comprehensions? Is that faster?

List comprehensions can be faster for creating new lists, but for iteration, using items() is generally more efficient.

Are there any specific techniques for large dictionaries?

For large dictionaries, consider using collections.defaultdict or collections.OrderedDict for better performance in certain scenarios.

What about using NumPy for handling large datasets?

NumPy can be very efficient for numerical data, but for dictionary-like structures, sticking with Python's built-in types is usually better.