How to Do Pigeonhole Sort in Python

Pigeonhole sort is a simple sorting algorithm that is efficient for sorting lists where the number of elements and the range of possible key values are approximately the same. This algorithm distributes elements into “pigeonholes” based on their key...

How to Do Heap Sort in Python

Heap sort is an efficient, comparison-based sorting algorithm that relies on a binary heap data structure to sort elements in place. It’s known for its time complexity of O(n log n), making it a reliable choice for large datasets. This blog post will explain how heap...

How to Do Bucket Sort in Python

Introduction Bucket sort is an efficient sorting algorithm that distributes elements into several “buckets” and then sorts each bucket individually. It is handy when input values are uniformly distributed over a range, as this can lead to a time complexity...

How to do Counting Sort in Python

Introduction Counting sort is an efficient, non-comparison-based sorting algorithm that works well when the range of input values is known and limited. It is particularly useful for sorting integers and can achieve linear time complexity in many cases. This blog post...

How to Do Selection Sort in Python

Selection sort is a simple comparison-based sorting algorithm that repeatedly selects the smallest (or largest) element from the unsorted portion of the array and moves it to its correct position. While not the most efficient for large datasets, selection sort is easy...

How to do Merge Sort in Python

Introduction Merge sort is one of the most efficient and reliable sorting algorithms, known for its divide-and-conquer approach. It is particularly useful for sorting large datasets due to its guaranteed O(n log n) time complexity, making it a popular choice in many...