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Скачать или смотреть Understanding 3 {} vs 2 {'a': 3}: Unpacking Keyword Arguments in Python

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  • 2025-09-08
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Understanding 3 {} vs 2 {'a': 3}: Unpacking Keyword Arguments in Python
Why does this print `3 {}` and not `2 {'a': 3}`?pythonkeyword argumentargument unpacking
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Описание к видео Understanding 3 {} vs 2 {'a': 3}: Unpacking Keyword Arguments in Python

Explore the nuances of Python keyword argument unpacking to understand why `f(**{'a':3})` prints `3 {}` instead of `2 {'a': 3}`.
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This video is based on the question https://stackoverflow.com/q/63384671/ asked by the user 'user14095422' ( https://stackoverflow.com/u/14095422/ ) and on the answer https://stackoverflow.com/a/63384709/ provided by the user 'Green Cloak Guy' ( https://stackoverflow.com/u/2648811/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Why does this print `3 {}` and not `2 {'a': 3}`?

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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Understanding 3 {} vs 2 {'a': 3}: Unpacking Keyword Arguments in Python

In the world of Python programming, keyword arguments and the unpacking operator can sometimes lead to unexpected results. A question often posed by developers, especially those new to the language, is why certain implementations yield specific outputs. A key example of this is the function call f(**{'a':3}), which prints 3 {} instead of the anticipated 2 {'a': 3}. Let’s break down the issue to clarify how Python handles keyword arguments and the unpacking operation.

The Problem at Hand

When running the following code:

[[See Video to Reveal this Text or Code Snippet]]

you receive the output:

[[See Video to Reveal this Text or Code Snippet]]

At first glance, this might seem surprising, especially if you expected it to print 2 {'a': 3}. Let’s delve deeper into Python’s behavior with keyword arguments to understand what’s happening behind the scenes.

Keyword Arguments and Default Values

Function Definition

In the function f, you have:

A positional argument a with a default value of 2.

An arbitrary keyword argument **b which collects any additional keyword arguments passed to the function.

The Unpacking Operator

When you call f(**{'a':3}), the unpacking operator ** takes the dictionary {'a': 3} and passes its contents as keyword arguments to the function. This means:

[[See Video to Reveal this Text or Code Snippet]]

This obvious resemblance is crucial for understanding why the output is what it is.

Why Does It Print 3 {}?

Overwriting the Default Value

When f(**{'a': 3}) is executed, the unpacked dictionary contains only one item: a=3. Since this is an explicit keyword argument, it overwrites the default value of a, which is 2. Consequently:

The function now knows a as 3.

There are no additional keyword arguments provided, so b remains an empty dictionary.

Thus, the output 3 {} reflects that a has been set to 3, while b (which collects any additional arguments) remains empty {}.

Summary of Key Points

The unpacking operator ** allows the contents of a dictionary to be passed as keyword arguments.

When f(**{'a': 3}) is called:

The default value 2 for a is replaced by 3.

There are no other keyword arguments, leaving b empty.

This results in the output 3 {} instead of 2 {'a': 3}.

Understanding these operations is crucial for grasping how Python manages function arguments and defaults.

Whether you're a seasoned developer or just starting, recognizing the subtleties of keyword argument unpacking can enhance your programming skills and help you avoid common pitfalls.

By diving deep into these concepts, we not only improve our coding accuracy but also enhance our overall understanding of Python's elegant design.

If you found this explanation helpful or have more questions about Python functions, feel free to reach out!

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