What are generator expressions in data science?

What are generator expressions in data science?

Generator expressions are a concise way to create iterators in Python, allowing for efficient data processing.

Can you give me an example of how to use a generator expression?

Sure! For instance, you can create a generator expression to square numbers: squared = (x**2 for x in range(10)).

How do they differ from list comprehensions?

The main difference is that generator expressions return an iterator and generate items on-the-fly, while list comprehensions create a complete list in memory.

When should I use generator expressions over list comprehensions?

Use generator expressions when working with large datasets to save memory, as they yield items one at a time.