Sort Iterable

The sorted() function in Python is a built-in utility that arranges elements from any iterable (like lists, tuples, and dictionaries) into a specific order (ascending or descending). This function is integral to data manipulation and preparation in Python, as sorting can often be a preliminary step in data analysis and visualization tasks.
In this article, you will learn how to use the sorted() function to sort various types of iterables. The discussion will cover basic sorting, customized sorting with key functions, and reverse sorting. Explore how this versatile function can be used to handle different data types and structures effectively.
Create a list of integers.
Use the sorted() function to sort the list.
This code snippet sorts the list numbers. The sorted() function returns a new list sorted_numbers with elements in ascending order [1, 2, 3, 5, 8].
Define a string.
Apply sorted() to sort the characters of the string.
Here, sorted() converts the string into a list of characters and sorts them alphabetically, resulting in ['e', 'h', 'l', 'l', 'o'].
Create a list of strings.
Sort the list by the length of its elements using sorted() with a key parameter.
The key=len tells sorted() to use the length of each element as the criterion for sorting. The output will be ['a', 'is', 'python', 'language', 'wonderful'], sorted based on the number of characters each string contains.
Define a custom function that influences the sorting order.
Use this function as the key in sorted().
This snippet sorts the words list based on the last letter of each word, resulting in ['banana', 'apple', 'cherry'] because 'a', 'e', and 'y' are the last letters, respectively.
Take any iterable.
Use the reverse parameter in the sorted() function to sort in descending order.
Setting reverse=True sorts the list numbers in descending order, producing [8, 5, 3, 2, 1].
The sorted() function in Python provides a straightforward yet powerful way to order elements from any iterable. Utilizing this function with different types of data, custom key functions, and reverse ordering options allows for flexible data manipulation. By mastering the techniques discussed, enhance the organization and preparation of data in your Python projects, ensuring that you can handle sorting tasks with ease and efficiency.
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