Table of contents
1.
Introduction
2.
Understanding the Walrus Operator
2.1.
Syntax
3.
When to Use the Walrus Operator?
3.1.
Example without the Walrus Operator
3.2.
Example with the Walrus Operator
4.
Common Use Cases
5.
Frequently Asked Questions
5.1.
Why is it called the walrus operator?
5.2.
Is it mandatory to use the walrus operator in Python 3.8 and later?
5.3.
Can the walrus operator be used with existing operators like +=, -=, etc.?
6.
Conclusion
Last Updated: Aug 13, 2025
Easy

Python Walrus Operator in Python

Introduction

With Python 3.8, a new syntax feature was introduced that took the Python community by storm - the "walrus" operator. Officially known as Assignment Expressions, the operator is represented by ":=". This article will explore the walrus operator, its uses, benefits, and some hands-on examples of how it can streamline your Python code.

Python Walrus Operator

Also see,   reverse a string in python

Understanding the Walrus Operator

The walrus operator allows you to assign values to variables as part of an expression. Its primary use is to simplify certain kinds of repetitive and nested code structures, making them more concise and readable.

Syntax

Here's the general syntax:

if (n := some_function()) is not None:
    print(n)
You can also try this code with Online Python Compiler
Run Code

 

In this example, the walrus operator ":=" assigns the result of some_function() to n and then checks if n is not None.

When to Use the Walrus Operator?

One of the main benefits of the walrus operator is its ability to simplify code that involves calling a function multiple times or when a computation is repeated. By integrating the assignment into the expression itself, it can make your code more efficient and easier to read.

Example without the Walrus Operator

value = some_expensive_computation()
if value is not None:
    print(value)
You can also try this code with Online Python Compiler
Run Code

Example with the Walrus Operator

if (value := some_expensive_computation()) is not None:
    print(value)
You can also try this code with Online Python Compiler
Run Code

 

As you can see, the second example reduces redundancy in the code by using the walrus operator.

Common Use Cases

The walrus operator shines in situations where a value needs to be reused. This includes while-loops, list comprehensions, and conditionals.

While-loops: The walrus operator can eliminate repeated function calls in while-loop conditions.

while (line := file.readline().rstrip()):
    print(line)
You can also try this code with Online Python Compiler
Run Code

 

List Comprehensions: It can simplify list comprehensions that filter on a computation.

filtered_data = [y for x in data if (y := process(x)) is not None]
You can also try this code with Online Python Compiler
Run Code

 

If Statements: The walrus operator can make if-statements that test and then use a function's result more readable.

if (match := pattern.search(data)) is not None:
    print("Found:", match.group()
You can also try this code with Online Python Compiler
Run Code

Frequently Asked Questions

Why is it called the walrus operator?

The operator is nicknamed the walrus operator because the ":=" symbol visually resembles the eyes and tusks of a walrus.

Is it mandatory to use the walrus operator in Python 3.8 and later?

No, it is completely optional. It's there to make your code more concise where applicable.

Can the walrus operator be used with existing operators like +=, -=, etc.?

No, the walrus operator is not designed to work with other operators.

Conclusion

In conclusion, the Python walrus operator, while sparking debates initially, offers a valuable tool for certain coding situations. By understanding when and how to use it effectively, you can enhance both the readability and efficiency of your code. Like with any feature, it should be used judiciously, keeping in mind that the goal of any code should be clarity and understanding for those who read it.

Live masterclass