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Скачать или смотреть Understanding How to Create Nested Lists in Python Using a For Loop

  • vlogize
  • 2025-10-07
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Understanding How to Create Nested Lists in Python Using a For Loop
Creating nested lists and pairing them using for loop inlinepythonpython 3.xlistpython 2.7
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Описание к видео Understanding How to Create Nested Lists in Python Using a For Loop

Learn how to effectively create and pair nested lists in Python with a simple loop and achieve desired outputs with practical examples.
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This video is based on the question https://stackoverflow.com/q/64053758/ asked by the user 'Martin' ( https://stackoverflow.com/u/5331597/ ) and on the answer https://stackoverflow.com/a/64053905/ provided by the user 'Cam' ( https://stackoverflow.com/u/2045611/ ) 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: Creating nested lists and pairing them using for loop inline

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 How to Create Nested Lists in Python Using a For Loop

As a beginner in Python, you may encounter various challenges while trying to manipulate data structures such as lists. One common task is creating nested lists from a flat list of numbers, especially when working with paired values. In this guide, we will dissect a specific line of code that does just that and understand how it operates step by step.

The Problem: Pairing Numbers in a List

Suppose you need to pair up numbers taken as input from the user. You want to group them into nested lists, where each sub-list contains two numbers. For instance, given the input list [1, 3, 2, 4, 6, 8, 9, 10] and the total number of inputs n (which is half the length of the list), the desired output is a grouped structure: [[1, 3], [2, 4], [6, 8], [9, 10]]. However, understanding how to achieve this using concise code snippets can be challenging.

Analyzing the Code

Let’s take a closer look at the relevant portion of the code:

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

Step-by-Step Breakdown

Input Handling:

The first line n = int(input()) captures the number of pairs needed.

The second line arr = list(map(int, input().split())) creates a list of integers from the user input.

Range and Slicing:

The line responsible for pairing is arr = [arr[i:i+ 2] for i in range(0, n*2, 2)].

range(0, n*2, 2) generates indices from 0 to n*2-1, stepping by 2, effectively giving us the start points of each pair. If n = 4, it results in [0, 2, 4, 6].

Creating Nested Lists:

The expression arr[i:i+ 2] is a slice of the list. It retrieves two elements starting from index i.

So, for i=0, the result is arr[0:2], which translates to [arr[0], arr[1]].

Putting it All Together

Let's illustrate this with an example input:

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

With n=4, the range generates the indices [0, 2, 4, 6].

The code line operates as follows:

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

Substituting the values gives:

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

Final Output

When the modified list is printed, we get the desired pairings:

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

Conclusion

Creating nested lists in Python using a for loop and slicing may seem daunting at first, but by breaking down the process into clear, manageable steps, it becomes much easier to understand. This method can be a powerful tool in your Python arsenal, helping to simplify data manipulation tasks effectively. Remember, practice is key, so try experimenting with different inputs to solidify your understanding!

Feel free to share your thoughts or any other Python questions you might have in the comments below!

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