What are the best practices for using iterables in Python?

What are the best practices for using iterables in Python?

Some best practices include using generator expressions for memory efficiency, and avoiding modifying iterables while iterating.

Can you explain why generator expressions are more memory efficient?

Generator expressions yield items one at a time and do not store the entire iterable in memory, which saves space.

What about using list comprehensions? Are they also efficient?

List comprehensions are efficient for small datasets, but they create the entire list in memory, unlike generators.

Are there any specific use cases where I should prefer one over the other?

Use generators for large datasets or when you only need to iterate once. Use list comprehensions for smaller, reusable lists.