How can I optimize performance with nested structures in Python?

How can I optimize performance with nested structures in Python?

You can optimize performance by using more efficient data structures like tuples instead of lists, or by flattening nested structures.

What are the trade-offs of using tuples over lists?

Tuples are immutable, which means they can be faster and use less memory, but you can't modify them after creation.

Are there any libraries that can help with this?

Yes, libraries like NumPy and Pandas are optimized for performance with large datasets and can handle nested structures efficiently.

How do I choose between using a dictionary or a list for nested data?

Use dictionaries when you need key-value pairs for quick lookups, and lists when order matters or when you need to store multiple items.