Creating partition function for Quicksort in python

Sure, I'd be happy to provide you with a tutorial on creating a partition function for the Quicksort algorithm in Python. Quicksort is a popular sorting algorithm that works by partitioning an array into two sub-arrays and then recursively sorting the sub-arrays.
Let's start by understanding the partition function. The partition function is responsible for selecting a pivot element and rearranging the array elements in such a way that elements smaller than the pivot are on its left, and elements greater than the pivot are on its right.
Here's a step-by-step guide along with a Python code example:
Quicksort is a divide-and-conquer algorithm. The basic idea is to select a pivot element from the array and partition the other elements into two sub-arrays, according to whether they are less than or greater than the pivot. The sub-arrays are then sorted recursively.
Let's test the partition function with a sample array:
After running the test function, you should see the array after partitioning and the index of the pivot. The array should have elements smaller than the pivot on the left and elements greater than the pivot on the right.
You can integrate the partition function into the Quicksort algorithm. Here's a simple implementation:
Now you have a basic understanding of how to create a partition function for the Quicksort algorithm in Python. The partition function plays a crucial role in sorting the array efficiently. You can further customize and optimize the code based on your specific requirements.
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