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Key Topics
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  • Sorting an Array using Merge Sort in Python
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Sorting an Array using Merge Sort in Python

def merge_sort(arr): if len(arr) <= 1: return arr mid = len(arr) // 2 left_half = merge_sort(arr[:mid]) right_half = merge_sort(arr[mid:]) return merge(left_half, right_half) def merge(left, right): merged = [] left_idx = 0 right_idx = 0 while left_idx < len(left) and right_idx < len(right): if left[left_idx] <= right[right_idx]: merged.append(left[left_idx]) left_idx += 1 else: merged.append(right[right_idx]) right_idx += 1 merged.extend(left[left_idx:]) merged.extend(right[right_idx:]) return merged # Example usage arr = [38, 27, 43, 3, 9, 82, 10] sorted_arr = merge_sort(arr) print(f"Sorted array: {sorted_arr}")

In this code:

  • The merge_sort function recursively divides the input list arr into halves until each sublist contains one or zero elements.
  • The merge function merges two sorted lists (left and right) into a single sorted list merged.
  • During merging, elements from left and right are compared and added to merged in ascending order.
  • Any remaining elements in left or right are appended to merged after the main merging loop.
  • The merge_sort function returns the sorted list arr using the merge function.

The example usage demonstrates sorting an array [38, 27, 43, 3, 9, 82, 10] using the merge_sort function and prints the sorted array.

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