Python Functions as Arguments: How Pass & used Them Effectively

The Python Functions as Arguments

In python the information we can passing through python functions as arguments (also called as parameter) . This allows for a higher level of abstraction and code reusability. 


These arguments are specified next to the function name ,but inside the parenthesis. We can add as many arguments as you want ,just separate them with a comma(,).

Python Functions as Arguments: How Pass & used Them Effectively
Python functions with arguments


Now let's some example:


def check_even _odd (num) :

 #function with one argument 'num'.

if num %2==0:

print(num,"is even")

else:

print(num,"is odd")

print("main area starts")

Check_even_odd (15)

Check_even_odd (20)

print("main area ends")


Note that ,the function check_ even_odd()  contains one parameter "num" and we called it his function two times ; provided one parameter on each calling. 

This will give following output:


main area starts 

15 is odd 

20 is even 

main area ends


Python functions as arguments enable developers to create higher order functions that take in other functions as parameter.this functionality is useful in many cases ,Such as when a function needs to perform an operation on a set of data that is generated by another functions. With python functions as arguments, developers can easily create functions that can handle the very complex tasks.


One of the most important advantages of using python functions as arguments is that it allows developers to write clean and maintainable code ,by creating Smaller and reusable functions.


Another major advantage of using python functions as arguments is the it makes code more readable .


In python the another way to pass python functions as arguments is by using lambda function. Lambda function are annonymous functions That can be created on the fly and Passed as arguments.


In conclusion, python functions as arguments are a powerful tool that every developer should become familiar .they enables programmers to create robust ,modular and flexible programs that are easier and faster to maintain.by using this feature developers can write cleaner ,more maintainable code while leveraging the full power of the programming language python.


For more articles:


Difference between multitasking and multiprogramming operating system

What is multiprogramming operating system

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