def Keyword in Python
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def Keyword in Python

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Introduction

In Python, the def keyword is fundamental for creating functions. Functions allow you to encapsulate reusable blocks of code, making your programs more organized and efficient. By defining functions, you can avoid redundancy and enhance the readability of your code.

Syntax of the def Keyword

The basic syntax for defining a function in Python is:

def function_name(parameters):
    # Function body
    return result

Here, function_name is the identifier for the function, parameters are optional inputs, and the indented block contains the statements to execute. The return statement is optional and is used to send back a result from the function.

Creating a Simple Function

Let's define a simple function that prints a greeting message:

def greet():
    print("Hello, welcome to Python programming!")

greet()

Output:

Hello, welcome to Python programming!

Function with Parameters

Functions can accept parameters to make them more dynamic. Here's an example:

def add_numbers(a, b):
    return a + b

result = add_numbers(5, 3)
print("Sum:", result)

Output:

Sum: 8

Using *args and **kwargs

Python allows functions to accept a variable number of arguments using *args and **kwargs:

def display_args(*args):
    for arg in args:
        print(arg)

display_args(1, 2, 3)

Output:

1
2
3
def display_kwargs(**kwargs):
    for key, value in kwargs.items():
        print(f"{key}: {value}")

display_kwargs(name="Alice", age=30)

Output:

name: Alice
age: 30

Defining Methods within Classes

The def keyword is also used to define methods within classes:

class Person:
    def __init__(self, name):
        self.name = name

    def greet(self):
        print(f"Hello, my name is {self.name}.")

person = Person("Bob")
person.greet()

Output:

Hello, my name is Bob.

Conclusion

The def keyword in Python is essential for defining functions and methods, enabling code reusability and modular programming. By mastering function definitions, you can write cleaner and more efficient Python code.



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