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