![]() Here’s a concrete example, where we define the variable values (a list) and then call its append() method with 8 as its argument: The data type of some_variable determines which methods are available. Notice the period before some_method? This indicates that we are using a method. Result = some_variable.some_method(argument1, argument2) You do this by adding a period between the variable and the method name: Methods, on the other hand, must be accessed and executed from a variable. Result = some_function(argument1, argument2) Regular functions are executed by writing their name and using parentheses to (optionally) pass in some arguments. Each data type has their own set of methods.Īn important distinction between methods and functions is how to run them. In this sense, you can think of methods as specialized functions that are designed to work with a particular type of data. In fact, methods work exactly like functions, except they are associated with specific data types like integers, strings, or lists. The word “method” may sound weird at first, but do not worry: Methods in Python are very similar to traditional Python functions, like print(), sum(), or len(). But What Exactly Are Python List Methods? It includes 3 full courses and over 35 hours’ worth of learning material. If you want a deeper dive into Python as a whole, be sure to check out our Python Basics track. In this article, we will go through an overview of Python’s main list methods. Collectively, these operations are called list methods. This includes common sequence operations like adding elements to a list, reordering elements, and counting the number of times a given element appears in a list. ![]() Python lists have a lot of functionality that you can leverage in your scripts. Learn how to modify lists in Python using list methods – specialized operations that give you tons of flexibility.
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