However, this comes at the cost of convenience. Because sort() does not make any copy of the initial variable, it is a bit more efficient than sorted(). On the other hand, sorted() keeps a copy of the initial variable, making it possible to revert to the initial order if needed. One important thing to note is that sort() modifies the initial variable directly, and consequently, the initial order will be lost. In terms of syntax, sort() is an instance method implemented as list_to_sort.sort(), while sorted() is used as sorted(list_to_sort). Sorting With Custom Sort Function in Pythonįirst, let’s talk about the difference between sort() and sorted(). If you are not comfortable with Python functions, it is a good idea to read How to Define a Function in Python before diving deeper into this article. In other words, I’ll explain how to use a custom lambda function as a key parameter. In this article, I want to go further on the sort topic and explore how to write a custom sort function in Python. Both list.sort() and sorted() have a key parameter that specifies a function to be called on each list element before making comparisons. In my previous article on working with streams in Python, I briefly introduced sorting methods with list.sort() and sorted(). Let’s discover how to use custom sort functions to implement custom orders and comparisons in Python. They are important because they often reduce the complexity of a problem. In computer science, a sorting algorithm puts elements of a list into a particular order.
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