Lambda functions in Python

Lambda Functions in Python: A Comprehensive Guide

Lambda functions in Python are one of the useful and practical features of this programming language that allow you to easily define anonymous and concise functions. Here we will review lambda functions, how to use them and their benefits.

Lambda functions in Python

Lambda functions are known as anonymous functions. These functions allow you to create a simple and short function without having to define a full function using the def keyword. The syntax of lambda functions is as follows:

 

In this syntax, arguments can contain one or more arguments, and expression is just an expression, the result of which is returned as the output of the function. For example, the following function doubles the input number:

 

Applications of lambda functions in Python

Lambda functions are usually used when you need small, one-line functions. These functions are especially useful in functional programming and in combination with functions such as map(), filter(), and reduce().

Example 1: Using map()

The map() function allows you to apply a function to each element of a list. Below is an example of using lambda functions with map():

 

Example 2: Using filter()

Example 2: Using filter()

The filter() function is used to filter out elements that meet certain conditions. Here is an example of using lambda functions with filter():

Using filter in lambda functions

Advantages of lambda functions in Python

– Simplicity and brevity: These functions allow you to create small functions easily without the need for a complete definition.

– Use in functional programming: These functions can easily be passed as arguments to other functions, which is very useful in functional programming.
– Reducing duplicate code: By using these functions, you can avoid writing large and complex functions and achieve your goal with only one line of code.

Finally, lambda functions in Python are a powerful tool for writing concise and efficient code, allowing you to easily implement anonymous functions in your programs.

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