List Comprehensions vs. Filter in Python

What are the differences between list comprehensions and the filter function in Python?

List comprehensions create a new list by applying an expression to each item in an iterable, while filter() constructs an iterator from elements of an iterable for which a function returns true.

Can you give me an example of both?

Sure! For list comprehension: squared = [x**2 for x in range(10)]. For filter: even_numbers = list(filter(lambda x: x % 2 == 0, range(10))).

Which one is more efficient?

List comprehensions are generally faster than filter because they avoid the overhead of function calls. However, the difference can be negligible for small datasets.

When should I use one over the other?

Use list comprehensions for simple transformations and filter when you need to apply a specific condition to select items.