# Python Sorting Algorithms

While there are dozens of sorting in Python that can make your code more robust and efficient, especially if you are exploring problem-solving with algorithms and data structures using Python, there are few primary ones that every beginner should be aware of. So let’s get to the chase and learn more about them.

7/25/20243 min read

**6 Types Of Python Sorting Algorithms**

While there are dozens of sorting in Python that can make your code more robust and efficient, especially if you are exploring problem-solving with algorithms and data structures using Python, there are few primary ones that every beginner should be aware of. So let’s get to the chase and learn more about them.

**Python’s Built-in Sorting Algorithm that uses Timsort**

Python has an in-built sorting function that can be called using sorted().

For instance, if you have an integer array with random numbers (comparable values), here is how the algorithm would work:

This built-in function for sorting in Python makes use of the Timsort algorithm, an advanced hybrid version of Insertion Sort and Merge Sort that are covered in the section below.

**Why Time Complexity Matters**

Implementation of sorting algorithms can often prove to be time-consuming, especially if you are dealing in complex data analysis or sets. Depending on your use case, one sorting algorithm in Python can prove to be more efficient than others.

This is the primary reason why it is always advisable to time your sorting process (by using the proportional time between executions) while experimenting with various algorithms to know which one would perform the best at scale.

**Bubble Sort**

#### What is BubbleSort Algorithm in Python?

One of the basic sorting algorithms, Bubble Sort compares adjacent entries in a list and keeps swapping them until they are in the correct order. To achieve this, the algorithm continuously passes through unsorted sections of lists. This essentially means that once the algorithm reaches the end of the list (n) it starts over and repeats itself up until the second last element (n-1).

**Insertion Sort**

#### What is Insertion Sort Algorithm in Python?

Instead of approaching the list head-on, the Insertion Sort segments the list into two sections - sorted and unsorted. The idea is to just iterate through the unsorted section and insert every list item into their correct position in the sorted list. Hence, the sorted list keeps increasing in size until all elements are sorted.

**Selection Sort**

#### What is Selection Sort Algorithm in Python?

The premise of the Selection Sort algorithm is simple. It searches for the minimum value in the input array and moves it into the sorted array. The process is repeated until the entire array is sorted. This is done by dividing the input list or array into two parts - sorted and unsorted - and then constantly moving elements from the unsorted list into the sorted list.

**Heap Sort**

#### What is Heap Sort in Python?

Heap sort is another sorting algorithm that works by segmenting arrays or lists into two parts - sorted and unsorted. The idea is to determine the largest element in the list by converting the unsorted part into a Heap data structure.

**Quick Sort**

### What is Quick Sort in Python?

Quick sort is also based on the concept of dividing the input array or list. But it is often the most preferred sorting algorithm because it is potentially more efficient to use than Merge Sort and does not require any extra storage space. It begins by dividing the list and picking one value, known as the pivot. This value is considered to be in its correct sorting place. Naturally, all other list values that are smaller are moved to the left & the ones that are larger are moved to the right. The values are then recursively sorted until they are in the correct order.

**Merge Sort**

#### What is Merge Sort Algorithm in Python?

Merge Sort has a bit of a complicated nature when it comes to dividing the lists. There are two primary steps in the algorithm:

Let’s say the array that is to be sorted has N elements. The first step of the algorithm would be to continuously divide the unsorted list until the point where there are N sublists. This essentially means that every sublist has only one element.

Next, the algorithm constantly mergers together all sublists, 2 sublists at a time. This process is repeated until all elements have been merged together to form a single and sorted array.

**Conclusion**

These algorithms are more than enough to help you get started with Data structures and algorithms using Python. To learn about how you can get started with learning Python through a structured course