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title: understanding the difference between methods and functions in python
introduction:
in python, methods and functions are fundamental concepts that play a crucial role in programming. while both are used to define reusable blocks of code, they differ in their usage and context. in this tutorial, we'll explore the distinctions between methods and functions, providing code examples to illustrate each concept.
a function in python is a block of organized, reusable code designed to perform a specific task. functions are defined using the def keyword, followed by the function name and a set of parameters enclosed in parentheses. here's a basic example:
in this example, the greet function takes a parameter (name) and prints a greeting message using that parameter.
a method, on the other hand, is a function associated with an object. in python, everything is an object, and objects can have methods. methods are called on an object and are accessed using the dot notation (object.method()). let's illustrate this with a simple example using a string:
in this example, upper() is a method called on the string object text to convert it to uppercase.
syntax:
invocation:
association:
example:
understanding the difference between methods and functions is crucial for effective python programming. functions are versatile and independent blocks of code, while methods are associated with objects and operate on the data within those objects. utilize both concepts wisely to write clean and efficient python code.
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