List comprehension in python: Learn to write cleaner

Learn to write cleaner, faster Python with list comprehensions . A simple guide with clear examples to master this powerful feature 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. 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: Seamless with Other Python Features: Integrates well with functions like zip (), enumerate () and lambda. Types of Comprehensions in Python Python offers different types of comprehensions to simplify creation of data structures in a clean, readable way. Let’s explore each type with simple examples. 1. List Comprehensions