How does the performance of deque compare to other data structures in Python?

How does the performance of deque compare to other data structures in Python?

Deque (double-ended queue) in Python offers O(1) time complexity for append and pop operations from both ends, making it efficient.

What are the main use cases for using a deque?

Deques are ideal for implementing queues, stacks, and for scenarios where you need fast appends and pops from both ends.

Are there any downsides to using deque?

One downside is that deques use more memory than lists due to their underlying data structure, which can be a consideration.

How does deque perform compared to a list for large datasets?

For large datasets, deques outperform lists for operations at both ends, while lists are better for random access.

Can you provide a code example of using deque?

Sure! Here's a simple example:

from collections import deque

my_deque = deque([1, 2, 3])
my_deque.append(4)  # O(1)
my_deque.appendleft(0)  # O(1)
print(my_deque)  # Output: deque([0, 1, 2, 3, 4])