Sorting is an essential operation in computer science used to arrange data in a particular order. There are many different types of sorting algorithms, each with its own strengths and weaknesses. One of the fastest sorting algorithms is Quick Sort. In this article, we will explore the Quick Sort algorithm in detail, including how it works and how to implement it in Python.

#### What is Quick Sort?

Quick Sort is a divide-and-conquer sorting algorithm that sorts a list by selecting a pivot element and partitioning the list around that pivot element. It then recursively sorts the left and right sub-lists until the entire list is sorted.

#### How Does Quick Sort Work?

Here is a step-by-step explanation of how Quick Sort works:

**Step 1:** Choose a pivot element from the list.

**Step 2:** Partition the list so that all elements smaller than the pivot element are on the left, and all elements greater than the pivot element are on the right.

Recursively apply **steps 1 and 2** to the left and right sub-lists until the sub-lists have length 0 or 1.

Let's take an example array to see how Quick Sort works:

[5, 3, 8, 6, 7, 2]

Choose the pivot element, which can be any element from the array. Let's choose the first element, 5.

Partition the array around the pivot element:

[3, 2, 5, 6, 7, 8]

The pivot element is now in its final position. Repeat the process recursively for the left and right sub-lists until the entire array is sorted.

#### Implementing Quick Sort in Python

Now that we understand how Quick Sort works, let's see how to implement it in Python. Here is the code for Quick Sort in Python:

```
```def quick_sort(array):

if len(array) <= 1:

return array

else:

pivot = array[0]

left = []

right = []

for i in range(1, len(array)):

if array[i] < pivot:

left.append(array[i])

else:

right.append(array[i])

return quick_sort(left) + [pivot] + quick_sort(right)

The function quick_sort takes an array as input and recursively partitions it around a pivot element. The function then concatenates the sorted left and right sub-lists to return the final sorted array.

To use the function, simply create an array and pass it as an argument to the quick_sort function. Here is an example of usage:

```
```array = [5, 3, 8, 6, 7, 2]

sorted_array = quick_sort(array)

print("Sorted array:", sorted_array)

In this example, we define the quick_sort function that takes an array as input and sorts it using the Quick Sort algorithm. We then create an example array and pass it to the quick_sort function. Finally, we print the sorted array using the print function.

Here is detail on each sorting algorithm in python

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