When should I use lists instead of generators in Python?

When should I use lists instead of generators in Python?

You should use lists when you need to store all items in memory for quick access. Generators are better for large datasets.

Can you explain the memory efficiency of generators?

Generators are more memory efficient because they yield items one at a time and do not store the entire dataset in memory.

What are some use cases for using lists?

Lists are great for small datasets, random access, and when you need to perform multiple operations on the data.

Are there any performance differences between the two?

Yes, lists can be faster for small datasets due to direct access, while generators can be slower but save memory for large datasets.