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Скачать или смотреть How to Subtract 1 from Each Element in a List in Python

  • vlogize
  • 2025-05-24
  • 2
How to Subtract 1 from Each Element in a List in Python
Subtract 1 from each element in the list in Pythonpythonnumpy
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Описание к видео How to Subtract 1 from Each Element in a List in Python

Learn how to efficiently subtract 1 from every element in a list using Python, with step-by-step explanations and different methods!
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This video is based on the question https://stackoverflow.com/q/71901713/ asked by the user 'Wiz123' ( https://stackoverflow.com/u/2804160/ ) and on the answer https://stackoverflow.com/a/71901730/ provided by the user 'OTheDev' ( https://stackoverflow.com/u/18554456/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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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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Subtracting 1 from Each Element in a List in Python

In Python, you may often find yourself needing to perform operations on elements within a list. One common task is to subtract a number from each element of a list. In this guide, we’ll explore how to efficiently implement this using different methods, so you can choose the one that fits your coding style best. Let’s dive in!

The Problem

Assume you have a list of integers, like this:

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

The goal is to subtract 1 from each element in this list. The expected output should be:

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

Now, let’s look at how to achieve this in Python.

Method 1: Using map() and lambda Functions

One effective way to manipulate each element of a list is by using the map() function along with a lambda function. Here’s how it works:

Step-by-Step Explanation

Understand lambda function: This expression defines a function that takes one input (x) and returns x - 1.

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

Using map(): The map() function applies this lambda function to each item in our list A.

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

Iterable unpacking with * operator: By using the * operator, you can unpack the mapped values back into a list.

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

Example Code

Here is a complete code sample:

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

Output

After running the above code, you’ll get:

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

Method 2: List Comprehension

For simpler operations, a more Pythonic and readable approach is to use list comprehension. The following method accomplishes the same task with ease:

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

Example Code

Here's the code in action:

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

Performance Comparison

Curious about how these methods perform? Here’s a quick timing comparison using %timeit in Jupyter Notebooks:

For loop method: While it’s efficient, it tends to be slower compared to list comprehensions or map().

Map with lambda: Fairly efficient and concise for more complex operations.

List comprehension: The fastest method for simple operations!

Here’s a summary of the execution times:

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

Conclusion

In this guide, we've covered how to efficiently subtract 1 from each element in a list using both map() with a lambda function and a more straightforward list comprehension approach. While both methods perform well, using list comprehension is often the best choice for its clarity and speed in simple tasks.

Try out these methods and see which one works best for your coding style. Happy coding!

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