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Скачать или смотреть Simplifying Multiple in Statements in Python

  • vlogize
  • 2025-05-25
  • 0
Simplifying Multiple in Statements in Python
Is there a way to write two in statements in one?pythonpython 3.xlogic
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Описание к видео Simplifying Multiple in Statements in Python

Discover an efficient method to check for multiple values in a list using Python that simplifies your code and boosts readability!
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This video is based on the question https://stackoverflow.com/q/69143423/ asked by the user 'KosmoKamikaze' ( https://stackoverflow.com/u/16886436/ ) and on the answer https://stackoverflow.com/a/69143473/ provided by the user 'Bialomazur' ( https://stackoverflow.com/u/12860716/ ) 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: Is there a way to write two "in" statements in one?

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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Simplifying Multiple in Statements in Python

When working with Python, you might find yourself needing to check if multiple elements exist in a list. This is a common scenario, especially when handling collections of data. A question often arises: Is there a way to write two in statements in one? If you find yourself asking this, you're not alone! Let's delve into the problem and explore an effective solution that enhances your code's efficiency and readability.

The Problem at Hand

Consider the following code snippet where a list, n, contains some integers. You want to check if both 5 and 17 are in the list:

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

While this works perfectly fine, some Python developers look for a more concise way to express the same logic. The attempt to use the following line, however, does not yield the desired outcome:

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

The reason it fails is that the expression (5 and 17) evaluates to 17, and the check simply verifies if 17 is in the list n — not both values!

An Efficient Solution

A more elegant way to accomplish the task is to use the all() function in combination with a generator expression. Here's how you can do it:

Step-by-Step Breakdown

Define Your List: Start by defining your list.

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

Use the all() Function: The all() function will return True if all elements in the provided iterable are True.

Create a Generator Expression: Generate the items you want to check directly within the all() function.

Here's the complete solution:

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

How It Works

List Definition: You define your list n containing integers.

Generator Expression: The expression item in n for item in [5, 7] evaluates whether each item from the list [5, 7] is present in n.

All Check: The all() function checks if all results from the generator expression are True.

Benefits of This Approach

Conciseness: It streamlines your code by condensing multiple checks into a single function call.

Readability: It enhances clarity by explicitly stating that we're checking for all items within a list.

Conclusion

Using the all() function is a smart way to handle multiple in checks in Python efficiently. It not only simplifies your code but also makes it more readable for anyone who might work with your code in the future. So, the next time you need to verify the presence of multiple elements in a list, give this method a try! Happy coding!

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