Python Generators vs Lists: What's the Difference?

What are the main differences between Python generators and lists?

Python generators are iterators that yield items one at a time and are more memory efficient, while lists store all items in memory.

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

Sure! Use a generator when processing large datasets, like reading a file line by line, to save memory.

Are there any performance differences between using generators and lists?

Yes, generators can be faster for large data because they produce items on-the-fly, while lists require all items to be stored in memory.

How do I create a generator in Python?

You can create a generator using a function with the 'yield' keyword or by using generator expressions.