Search results
A function is a block of code that performs a specific task. In this tutorial, we will learn about the Python function and function expressions with the help of examples.
2 days ago · The basic syntax to define a new function in Python is: def function_name(parameters): """doc string""". # Statement 1. # Statement 2. # Optional return value. function_name(arguments) Let‘s break this down: Functions are defined using def keyword followed by the name of the function.
Creating a Function. In Python a function is defined using the def keyword: Example Get your own Python Server. def my_function (): print("Hello from a function") Calling a Function. To call a function, use the function name followed by parenthesis: Example. def my_function (): print("Hello from a function") my_function () Try it Yourself »
Apr 15, 2021 · Defining a Function in Python: Syntax and Examples. The syntax for defining a function in Python is as follows: def function_name(arguments): block of code. And here is a description of the syntax: We start with the def keyword to inform Python that a new function is being defined. Then, we give our function a meaningful name.
Jul 28, 2021 · In simple terms, when you want to do something repeatedly, you can define that something as a function and call that function whenever you need to. In this tutorial, we shall learn about user-defined functions in Python.
Feb 22, 2024 · To define a function in Python, we use the def keyword followed by the function name and parentheses containing optional parameters. Here's an example of a simple function that greets a user: def greet(name): """Function to greet the user.""". print(f"Hello, {name}!") In this example:
People also ask
How to define a function in Python?
How to write a function in Python?
How to create a function in Python?
What are user-defined functions in Python?
Jan 28, 2020 · Introduction to Functions in Python. A function allows you to define a reusable block of code that can be executed many times within your program. Functions allow you to create more modular and DRY solutions to complex problems.