Python Programming Python Datatypes Python If Else Python If Else Examples Python Loops Python For Loops Examples Python List Tuple and Set Python List Example Python Dictionary Python Dictionary Example Python Functions Python Functions Example Python Classes and Objects Python Classes and Objects Example Inheritance and Polymorphism Python Exception Python Exception Example Python Iterator and Generator File Handling Python Regular Expression Python Quiz

Python Functions

In Python, functions are reusable blocks of code that perform a specific task. They allow you to break your code into smaller, modular pieces, making it more organized, readable, and easier to maintain.

Functions help promote code reusability and avoid duplicating code across your program. Here's an introduction to creating and using functions in Python:


Defining a function: To define a function in Python, you use the def keyword followed by the function name, parentheses (), and a colon :. The code block of the function is indented below.

You can also specify parameters (inputs) that the function can accept.

Calling a function: To execute a function, you simply write its name followed by parentheses (). Parameters and arguments: Functions can accept parameters, which act as placeholders for values that you pass when calling the function. These values are called arguments.



Return statement: Functions can return values using the return statement. This allows you to obtain the result of the function's computation and use it in other parts of your code.

Default parameter values: You can specify default values for parameters, which are used when the caller does not provide a value for that parameter. Variable number of arguments: Functions can accept a variable number of arguments using the *args or **kwargs syntax.


Here is the output of the above code:

15 These are just some basic concepts of defining and using functions in Python. Functions can be as simple or as complex as needed, and they play a crucial role in organizing and structuring your code.

By breaking your code into functions, you can improve code readability, reusability, and maintainability, ultimately making your programming tasks more efficient. Functions can be used to make your code more modular and reusable.

By defining functions, you can break your code down into smaller, more manageable pieces. This can make your code easier to read, understand, and maintain.

Here are some of the benefits of using functions in Python:

Functions can be used to avoid repeating code. Functions can be used to make your code more modular and reusable. Functions can be used to improve the readability and maintainability of your code.

Functions can be used to improve the performance of your code.

Enroll Now

  • Python Programming
  • Machine Learning