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Скачать или смотреть Understanding forbidden words in dictionary keys: A Python Guide

  • vlogize
  • 2025-05-27
  • 0
Understanding forbidden words in dictionary keys: A Python Guide
Are certain words forbidden as keys in a dict() statement?pythondictionary
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Описание к видео Understanding forbidden words in dictionary keys: A Python Guide

Discover why certain words can't be used as keys in Python dict() and learn how to use dictionary keys without any issues!
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This video is based on the question https://stackoverflow.com/q/66360025/ asked by the user 'SurpriseDog' ( https://stackoverflow.com/u/11343425/ ) and on the answer https://stackoverflow.com/a/66360107/ provided by the user 'wim' ( https://stackoverflow.com/u/674039/ ) 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: Are certain words forbidden as keys in a dict() statement?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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 Forbidden Words in Dictionary Keys: A Python Guide

When working with dictionaries in Python, you may wonder if there are any restrictions on the words you can use as keys. It's a common question among new programmers, especially when they encounter errors while trying to run their code. In this guide, we'll explore this topic in depth to clarify any confusion surrounding the syntax and usage of keys in Python dictionaries.

The Problem: Confusion with Syntax Keywords

You might have come across a situation where you try to assign a key in a dictionary with a name like as, and the compiler throws a SyntaxError. Such instances can make you think there are certain "forbidden" words when it comes to dictionary keys. Let's take a closer look at the scenario you might face when using the dict() statement.

Example Scenario

Imagine you are building a conversion dictionary to convert user time strings to seconds. You might write something like this in your Python code:

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

Upon running the code, you get an error for as, but keys like bs work just fine. Why does this happen?

The Solution: Clarifying Key Restrictions

Can You Use Any String as a Dictionary Key?

The simple answer is yes! You can use any string as a dictionary key in Python. For example:

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

This means that the keys you can use are only restricted by Python's syntax rules—not by any limitations specific to dictionaries.

Understanding Syntax Keywords

The confusion arises not from using forbidden words as dictionary keys, but rather from using syntax keywords in the function call syntax. Keywords like as, if, while, etc., serve specific purposes in the language and cannot be used in contexts where Python expects parameters. This isn't unique to the dict() method, but applies across the entire language.

List of Python Keywords

Python has a set of keywords that you need to avoid in function calls. Here’s a non-exhaustive list of these keywords:

False

None

True

and

as

assert

async

await

break

class

continue

def

del

elif

else

except

finally

for

from

global

if

import

in

is

lambda

nonlocal

not

or

pass

raise

return

try

while

with

yield

Conclusion

In summary, don’t worry about restrictions on dictionary keys in Python; instead, focus on avoiding syntax keywords when you are writing function calls. Now that you understand this distinction, you can confidently use any valid string as a key in your dictionaries.

With this knowledge, you can enhance your coding skills and utilize Python dictionaries to store key-value pairs effectively. Happy coding!

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