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Function in Python

6

 

Python Functions are a group of connected statements that are used to accomplish a computational, logical, or evaluative activity in Python. The goal is to group together certain often performed actions and create a function, so that instead of writing the same code over and over for different inputs, we may call the function and reuse the code contained within it.

 

Built-in and user-defined functions are both possible. It contributes in maintaining the programme simple, non-repetitive, and well-organized.

Types of Functions in Python

Built –in Function

Python provides a number of functions that may be used directly. These are referred to as built-in functions. Most of Python's built-in functions are included on this reference page. Click Here

User Defined Function

User-defined functions are functions that we define ourselves to do a certain purpose. We've already spoken about how to define and call functions in Python.

Built-in functions are functions that come pre-installed with Python. Library functions are when we employ functions written by others in the form of a library.

User-defined functions include all other functions that we create on our own. As a result, our user-defined function might be considered a library function by others.

Syntax

 

def function_name(parameters):

    """docstring"""

    statement(s)

    return expression

 

 

Creating a Function

The def keyword can be used to build a Python function.

Example:

 

# Write a Program to Creating a Function in Python

 

def run():

print("Welcome to www.a2pstudy.blogspot.com")

 

Calling a Function

After constructing a function, we may call it by using the function's name followed by parentheses holding the function's parameters.

Example:

 

# Write a Program to Creating/Calling a Function in Python

 

def run():

print("Welcome to www.a2pstudy.blogspot.com ")

                       

# call a function

run()

 

Output

Welcome to www.a2pstudy.blogspot.com

 

Function with Arguments

The values given inside the function's parentheses are referred to as arguments. Any number of parameters can be separated by a comma in a function.

Example:

# Write a Program to illustrate Function with Argument.

 

 

def evenOdd(x):

            if (x % 2 == 0):

                        print("even")

            else:

                        print("odd")

 

 

# call the function

evenOdd(2)

evenOdd(3)

 

Output

even

odd

 

Types of Arguments

Python supports various types of arguments that can be passed at the time of the function call. Let’s discuss each type in detail.

  1. Default arguments
  2. Keyword arguments
  3. Variable-length arguments
    • *args (Non-Keyword Arguments)
    • **kwargs (Keyword Arguments)

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  1. The article gives a clear overview of Python functions and explains why grouping reusable statements into functions helps keep programs organized and avoids repetitive code. The distinction between built-in, library, and user-defined functions also provides a useful foundation for understanding how functions are used in Python programming.

    The discussion of defining functions with the def keyword and using parameters, statements, and return values is particularly relevant for learners exploring Python Online Course, as these concepts form an essential part of writing reusable Python programs. The simple run() example also demonstrates the basic structure of a function.

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  2. Understanding how to create and call user-defined functions is an important practical skill that can be developed through Python Online Training. Functions become especially valuable as programs grow because individual operations can be separated into smaller, reusable blocks, making the overall code easier to maintain and understand.

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  3. The concepts described in the article can also provide a foundation for developing applications through Python Projects For Final Year, where functions can be used to organize different processing tasks into logical components. This approach makes larger project code easier to structure and reuse.

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  4. The explanation of built-in and user-defined functions also connects naturally with broader application development using Python Full Stack Course, where reusable Python functions can form part of backend logic, data processing, and application workflows. The article therefore provides a useful starting point for understanding an important building block of Python programming.

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