Python’s list comprehensions offer a compact way to create and modify lists. They enable you to build new lists by applying an expression to each item in an existing list, with an optional filter to include only certain items. This approach enhances code readability and efficiency.

The basic structure is:

new_list = [expression for item in iterable if condition]

• expression: The value to include in the new list.
• item: A variable representing each element in the iterable.
• iterable: The collection being looped through.
• condition (optional): A filter to include only items that meet the criteria.

Example: Creating a list of squares

Without list comprehension:

squares = []
for x in range(10):
squares.append(x**2)
print(squares)

With list comprehension:

squares = [x**2 for x in range(10)]
print(squares)