How can I optimize memory usage in Python collections?

How can I optimize memory usage in Python collections?

You can optimize memory usage in Python collections by using more efficient data structures like tuples instead of lists, or using the array module for numeric data.

What are the differences between lists and tuples in terms of memory?

Tuples are generally more memory efficient than lists because they are immutable, which allows Python to optimize their storage.

Are there any specific collections that are better for large datasets?

Yes, for large datasets, consider using the array module or numpy arrays, as they provide more efficient storage and performance.

How does the collections module help with memory usage?

The collections module offers specialized container datatypes like deque and defaultdict, which can be more memory efficient for specific use cases.