How To Make A Listalphabetical Order Python

Python Programming

As a developer, I’ve often found myself needing to organize lists of items in Python into alphabetical order. Thankfully, Python provides us with built-in functions that make this process relatively straightforward. In this article, I’ll walk you through the steps of sorting a list in alphabetical order using Python.

Creating a List

Before we can sort a list, we need to have a list to work with. Let’s start by creating a simple list of fruits:

fruits = ['apple', 'orange', 'banana', 'grape', 'kiwi']

Using the sorted() Function

Python’s sorted() function is a built-in method that can be used to sort any iterable. When we use sorted() on a list, it returns a new list containing the same elements but in sorted order.

sorted_fruits = sorted(fruits)

The sorted_fruits list now contains the fruits sorted in alphabetical order. You can also sort the list in reverse alphabetical order by passing the reverse parameter as True:

reverse_sorted_fruits = sorted(fruits, reverse=True)

Sorting the List in Place

If you want to sort the original list itself rather than creating a new sorted list, you can use the sort() method:


After running this, the original fruits list will be sorted alphabetically.

Custom Sorting with key Parameter

Sometimes, we may want to sort a list based on a specific criterion, such as the length of the elements. The sorted() function allows us to use the key parameter to specify a function to be called on each list element prior to making comparisons.

sorted_fruits_by_length = sorted(fruits, key=len)

This would sort the fruits list based on the length of the words in ascending order.


Sorting a list in alphabetical order is a common task in Python, and the language provides us with versatile methods to achieve this. Whether you need to create a new sorted list or sort the original list in place, Python’s built-in functions have you covered. By understanding the usage of sorted() and sort() functions, you can easily organize your data in a way that best suits your needs. I hope this article has been helpful in enhancing your Python skills!