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Assignment Expressions: The Walrus Operator

In this lesson, you’ll learn about the biggest change in Python 3.8: the introduction of assignment expressions. Assignment expression are written with a new notation (:=).This operator is often called the walrus operator as it resembles the eyes and tusks of a walrus on its side.

Assignment expressions allow you to assign and return a value in the same expression. For example, if you want to assign to a variable and print its value, then you typically do something like this:

>>> walrus = False
>>> print(walrus)

In Python 3.8, you’re allowed to combine these two statements into one, using the walrus operator:

>>> print(walrus := True)
>>> type(walrus)
<class 'bool'>

The assignment expression allows you to assign True to walrus, and immediately print the value. But keep in mind that the walrus operator does not do anything that isn’t possible without it. It only makes certain constructs more convenient, and can sometimes communicate the intent of your code more clearly.

One pattern that shows some of the strengths of the walrus operator is while loops where you need to initialize and update a variable. For example, the following code asks the user for input until they type quit:

# write_something.py

inputs = list()
current = input("Write something: ")
while current != "quit":
    current = input("Write something: ")

This code is less than ideal. You’re repeating the input() statement, and somehow you need to add current to the list before asking the user for it. A better solution is to set up an infinite while loop, and use break to stop the loop:

# write_something.py

inputs = list()
while True:
    current = input("Write something: ")
    if current == "quit":

This code is equivalent to the code above, but avoids the repetition and somehow keeps the lines in a more logical order. If you use an assignment expression, then you can simplify this loop further:

# write_something.py

inputs = list()
while (current := input("Write something: ")) != "quit":

This moves the test back to the while line, where it should be. However, there are now several things happening at that line, so it takes a bit more effort to read it properly. Use your best judgement about when the walrus operator helps make your code more readable.

PEP 572 describes all the details of assignment expressions, including some of the rationale for introducing them into the language, as well as several examples of how the walrus operator can be used. The Python 3.8 documentation also includes some good examples of assignment expressions.

Here are a few resources for more info on using bpython, the REPL (Read–Eval–Print Loop) tool used in most of these videos:

rajeshboyalla on Dec. 4, 2019

Why do you use list() to initialize a list rather than using []?

>>> timeit("i = list()", globals=globals())

>>> timeit("i = []", globals=globals())

Geir Arne Hjelle RP Team on Dec. 4, 2019

My two cents about list() vs [] (I wrote the original article this video series is based on):

  • I find spelling out list() to be more readable and easier to notice and interpret than []
  • [] is several times faster than list(), but we’re still talking nanoseconds. On my computer [] takes about 15ns, while list() runs in 60ns. Typically, lists are initiated once, so this does not cause any meaningful slowdown of code.

That said, if I’m initializing a list with existing elements, I usually use [elem1, elem2, ...], since list(...) has different–and sometimes surprising–semantics.

Jason on April 3, 2020

Sorry for my ignorance, did the the standard assignment = operator work in this way? I don’t understand what has been gained from adding the := operator. If anything I think it will allow people to write more obfuscated code. But minds better than mine have been working on this, so I’ll have to take their word it is an improvement.

Jason on April 3, 2020

As for the discussion on whether [] is more readable than list(). I’d never seen list() before, so to me [] is better. I’ve only just come over from the dark 2.7 side so maybe it’s an old python programmer thing?

Oh I checked the operation on the assignment operator. I was obviously wrong. lol Still I think the existing operator could’ve been tweaked to do the same thing as := … I’m still on the fence about that one.

gedece on April 3, 2020

you are right in that the existing operator could have worked, but it can lead to something unexpected.

if you do something like

if (newvar = somevar): it gives a traceback, because you are supposed to use == for comparations.

So if you use the normal operator for this, then that expression is valid and you’ll be hard pressed to realize the mistake.

It then makes complete sense to use a different operator as that helps to clarify intent in code.

Jason on April 6, 2020

Yes, I’ve accidentaly done that in other languages before and it can be a difficult to “see” bug.

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