Member-only story
Python’s list comprehensions are a compact and expressive way to create lists from existing sequences. When combined with built-in functions, they become even more powerful, allowing you to write concise and efficient code.
In this article, we’ll explore how to leverage list comprehensions with built-in functions to supercharge your Python skills.
The Basics: List Comprehensions
Before we dive into the combination of list comprehensions and built-in functions, let’s quickly review the basics of list comprehensions. A list comprehension is a concise way to create a new list by applying an expression to each item in an existing sequence (like a list or a string).
Here’s a simple example that creates a list of squared numbers:
numbers = [1, 2, 3, 4, 5]
squared_numbers = [x ** 2 for x in numbers]
print(squared_numbers) # Output: [1, 4, 9, 16, 25]
In this example, x ** 2
is the expression that gets applied to each item x
in the numbers
list, creating a new list squared_numbers
.