How does the Python collections module affect memory usage?

How does the Python collections module affect memory usage?

The Python collections module provides specialized container datatypes like namedtuple, deque, Counter, and defaultdict. These can be more memory-efficient than standard types for certain use cases.

Can you give an example of when to use a deque instead of a list?

Sure! A deque is more efficient for appending and popping elements from both ends. If you're implementing a queue or a stack, using a deque can save memory and improve performance.

What about the memory usage of a Counter?

A Counter is a dictionary subclass designed for counting hashable objects. It can be more memory-efficient than a regular dictionary when counting large datasets, as it only stores unique elements.

Are there any downsides to using these collections?

Yes, while they can be more efficient, they may also have overhead in terms of additional features. It's important to choose the right type based on your specific needs.