Learn how to create a new list based on the values of an existing list using list comprehension . See the syntax, condition, iterable and expression of list comprehension with examples and exercises. List comprehension is a concise and powerful way to create new lists by applying an expression to each item in an existing iterable (like a list, tuple or range). It helps you write clean, readable and efficient code compared to traditional loops. Suppose you want to square every number in a list: List Comprehension in Python A list comprehension is a concise way to create lists. It is similar to set builder notation in mathematics. It is used to define a list based on an existing iterable object, such as a list , tuple, or string, and apply an expression to each element in the iterable. Syntax of Python List Comprehension The basic syntax of list comprehension is − Learn how to use list comprehensions to create, filter, and transform lists in Python with minimal syntax. See basic and advanced examples, common use cases, and a practice exercise.
