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Скачать или смотреть How to Create and Compare Arrays from User Input in Python without Numpy

  • vlogize
  • 2025-05-26
  • 1
How to Create and Compare Arrays from User Input in Python without Numpy
inputing [ 0 10 20 40 ] for exemple as argument for array in pythonpythonpython 3.x
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Описание к видео How to Create and Compare Arrays from User Input in Python without Numpy

Discover how to efficiently create arrays from user inputs in Python, compare them, and find common values without using the Numpy library.
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This video is based on the question https://stackoverflow.com/q/65037360/ asked by the user 'ib 1937' ( https://stackoverflow.com/u/14473579/ ) and on the answer https://stackoverflow.com/a/65316653/ provided by the user 'Daniel Hao' ( https://stackoverflow.com/u/10760768/ ) 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: inputing [ 0 10 20 40 ] for exemple as argument for array in python

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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Creating and Comparing Arrays in Python without Numpy

When working with arrays in Python, you might find yourself needing to create an array from user inputs and then compare it with another array. If you're not using libraries like Numpy, this can seem daunting at first, but it's quite straightforward once you understand the basics. In this post, we'll walk through how to input an array of numbers, display it, and find common values between two arrays.

The Problem

You want to create an array in Python using user input, for example: [0, 10, 20, 40, 60]. Once the first array is created, you would like to create a second array and then find the common values between the two arrays. The expected output in the console would look like this:

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

The Solution

Step 1: Creating the First Array

To start, we’ll leverage Python's built-in capabilities to take user input and convert it into a list of integers. Here’s how we can do this:

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

In this code:

We prompt the user to enter numbers.

The input() function captures the user's input in a single line.

The split() method splits the input string into a list of substrings based on spaces.

We convert each substring to an integer using a list comprehension.

Example

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

Step 2: Creating the Second Array

Once we have our first array, we can follow the same process to create a second array. For example:

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

This can be hardcoded or constructed similarly by another input.

Step 3: Finding Common Values

To find the common values between Array1 and Array2, simple set operations can be used. Let's implement this with the built-in set data structure, which makes it easy to find duplicates:

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

This line of code converts both arrays into sets and then finds their intersection (common elements).

Putting It All Together

Here’s how all parts work together in one complete script:

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

Expected Output

When you run the complete script, the expected output will be:

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

Conclusion

Creating and comparing arrays in Python without using libraries like Numpy is not only possible, but also quite simple! By taking user input, converting the input to integers, and leveraging basic set operations, you can efficiently handle arrays in your Python programs.

Feel free to play around with this code, modify the input and see how it works for different scenarios! Your understanding of arrays in Python will greatly improve with practice.

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