# Understanding Lambda Function in Python, With Examples

Are you working with higher-order functions and want to simplify your code? A lambda function in Python, otherwise known as ananonymous function, can be used in a pinch. This tool is a versatile stand-in for common tasks or calculations.

So if they re so versatile, how do they work? In this article, we explain how lambda functions work and how to apply them. We even provide the basic syntax to give you a base to start on. So let s get into it and shorten our codes.

## What is a Lambda Function in Python?

Do you have a one-off action that you need to use, but don t want to spend waste code space writing the function out? A lambda function inPythonacts as a temporary process that works for a small task or calculation. While you won t use them for complicated tasks, they help cut down processing time.

A lambda function in Python creates small anonymous functions without having to name them. To do this, you ll assign the object to a variable. Here s what that will look like:

``````lambda arguments: expression
``````

The lambda keyword signals the use of the lambda function. alongside, you ll specify which parameters to send it. After you set the arguments, you ll define the logic. Finally, when the lambda function is defined, you can assign it to a variable for use.

## How Do You Use These Functions?

Typically, you ll use a lambda function in Python within a higher-order function. This helps simplify the code that already starts to feel convoluted. For example, you may use lambda functions with map() , filter() , or reduce(). Here s what the syntax might look like in an example map() function:

``````numbers = [1, 2, 3, 4, 5]

# Using a lambda function with map() to square each number
squared_numbers = list(map(lambda x: x**2, numbers))

print(squared_numbers)  # Output: [1, 4, 9, 16, 25]
``````

Because of their versatility and ease of use, lambda functions have several applications. You ll often find them used in functional programming,data transformation, event handling, and more. Understanding how a lambda function in Python works can help you consider creative tasks for the tool.