What are the differences between generators and lists in Python?

What are the differences between generators and lists in Python?

Generators are iterators that yield items one at a time and only when requested, while lists store all items in memory.

Can you explain the memory efficiency of generators compared to lists?

Sure! Generators are more memory efficient because they generate items on-the-fly, whereas lists store all items in memory.

When should I use a generator instead of a list?

Use a generator when dealing with large datasets or when you want to save memory, especially if you don't need to access all items at once.

Are there any performance differences between the two?

Yes, generators can be faster for large data processing since they don't require the overhead of creating and storing a full list.