Learn how to sort arrays and lists in Python using sort (), sorted (), custom key functions, reverse sorting, and real-world examples with practice exercises. In this article, you will learn how to use Python's sort () list method. You will also learn a different way of performing sorting in Python by using the sorted () function so you can see how it differs from sort (). Sort a list in Python without sort () or sorted () using insertion, bubble, selection or merge sort and heapq, plus key, reverse order and speed tests. Python lists have a built-in list.sort () method that modifies the list in-place. There is also a sorted () built-in function that builds a new sorted list from an iterable. This tuorial shows you how to use the Python List sort () method to sort a list e.g. a list of numbers and a list of strings. The sort () method is used to arrange the elements of a list in a specific order, either ascending or descending. It changes the original list directly, so no new list is created. In this tutorial, you’ll learn how to sort various types of data in different data structures, customize the order, and work with two different ways of sorting in Python. Python provides straightforward and flexible methods for sorting lists, making it a powerful tool for managing ordered data. In this tutorial, we will learn how to sort a list in Python, different ways of customizing the sorting, and real-world list sorting techniques. Definition and Usage The sort () method sorts the list ascending by default. You can also make a function to decide the sorting criteria (s). The sort () method in Python is used to arrange the elements of a list in a specific order. It works only on lists, modifies the original list in place, and does not return a new list. Example: This example shows the most basic use of sort () to arrange numbers in ascending order.