In Python, sorting is a common operation for organizing data. The `sort`

method and the `sorted`

function are two primary ways to sort data, specifically lists. Although both are used to order elements, they have distinct differences in how they operate and their effect on the original data. This article explores these differences, providing practical examples to illustrate when to use each method.

`sort`

and `sorted`

`**sort**`

: The`sort`

method sorts a list in place, meaning it modifies the original list and does not return a new list. This method is only available for lists.`**sorted**`

: The`sorted`

function returns a new sorted list from the elements of any iterable (such as lists, tuples, and strings), leaving the original iterable unchanged.

`**sort**`

: Returns`None`

. Since it sorts the list in place, it does not produce a new list.`**sorted**`

: Returns a new list that contains the sorted elements of the original iterable.

`**sort**`

: Can only be used with lists.`**sorted**`

: Can be used with any iterable, including lists, tuples, and strings.

`sort`

`sorted`

The `sort`

method and the `sorted`

function in Python both serve to sort elements, but they do so in different ways. `sort`

modifies the original list in place and returns `None`

, while `sorted`

creates and returns a new sorted list, leaving the original iterable unchanged. Understanding these differences helps you choose the appropriate method based on whether you need to preserve the original data or work with different types of iterables.