π‘ **Problem Formulation:** In various programming tasks, we may be required to sort a list of strings not only based on alphabetical order but also by the length of each string.

Suppose we have a list of strings like `["banana", "apple", "cherry", "blueberry"]`

.

We want to organize this list so that it’s sorted by the length of each string and, for strings of the same length, sort them alphabetically.

The desired output for this list would be `["apple", "banana", "cherry", "blueberry"]`

.

If you only want to sort by length, check out my article here:

π Python Sort List of Strings by Length

## Method 1: Using a Custom Sorting Function

Python’s `sort()`

method can take a custom sorting function through its ‘key’ parameter. This function can be a lambda function that returns a tuple where the first element is the length of the string, and the second is the string itself, establishing a sort priority.

Here’s an example:

fruits = ["banana", "apple", "cherry", "blueberry"] fruits.sort(key=lambda item: (len(item), item)) print(fruits)

This code snippet sorts the list of fruits by length and then alphabetically. The `lambda`

function returns a tuple where the first element is the length of the string, ensuring primary sorting by length, and the second element is the string, which sorts the same-length strings alphabetically.

## Method 2: Using the sorted() Function with a Custom Key

The `sorted()`

function in Python works similarly to the `sort()`

method but returns a new sorted list. You can provide a key function that, again, returns a tuple, first of the length, then the string itself.

Here’s an example:

fruits = ["banana", "apple", "cherry", "blueberry"] sorted_fruits = sorted(fruits, key=lambda item: (len(item), item)) print(sorted_fruits)

In this code snippet, the list of fruits is sorted by length and alphabetically without altering the original list, as the `sorted()`

function creates a new sorted list. The custom key function operates the same way as in Method 1.

## Method 3: Using an Inline Function Definition

Instead of a lambda, you can define an inline function using `def`

, which can improve readability when the sorting criteria are complex or if you’re avoiding lambda functions for stylistic reasons.

Here’s an example:

fruits = ["banana", "apple", "cherry", "blueberry"] def sort_key(item): return len(item), item fruits.sort(key=sort_key) print(fruits)

The code snippet above defines a sorting key function `sort_key`

that returns a tuple based on the string’s length and then the string itself. The `sort()`

method sorts the list in-place using this function.

## Method 4: Using Operator.itemgetter for Mixed Sorting

For cases where you are sorting objects or tuples and not just strings, `operator.itemgetter`

can be useful. It can be used in combination with `sorted()`

or `sort()`

to sort the strings by length and then alphabetically if you first convert strings to tuples containing their length.

Here’s an example:

from operator import itemgetter fruits = ["banana", "apple", "cherry", "blueberry"] tuples = [(len(fruit), fruit) for fruit in fruits] sorted_tuples = sorted(tuples, key=itemgetter(0, 1)) sorted_fruits = [fruit for _, fruit in sorted_tuples] print(sorted_fruits)

This snippet first converts the fruit strings into tuples of `(length, string)`

, sorts the list of tuples, and then extracts the sorted strings. `itemgetter(0, 1)`

specifies the tuple indices by which to sort.

## Bonus One-Liner Method 5: Combining sorted() and List Comprehension

If you fancy one-liners, you can combine `sorted()`

with a list comprehension to achieve the same result, albeit less readable for some.

Here’s an example:

fruits = ["banana", "apple", "cherry", "blueberry"] print([fruit for _, fruit in sorted((len(fruit), fruit) for fruit in fruits)])

This complex one-liner creates a generator that produces tuples `(length, string)`

, sorts them, and then extracts the second element of each tuple to form the sorted list of strings.

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While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.

To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.

His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.