![]() ![]() # Swap and continue heapifying if the root is not largestĪrr, arr = arr, arr # Find the largest among the root, left child and right child Source Code for Priority Queue using Heap in Python # Priority Queue implementation in Python Step 7: Insert elements into an empty array using the insert() function then try deleting an element from the tree. Step 6: Delete the element and again heapify the elements recursively. Step5: Create a function deleteNode() that deletes the selected element from the tree ![]() Step 4: If the size of the array is zero, then this number will be the root, else append the number and call the heapify function recursively to heapify the elements. Step3: Create a function insert() to insert an element into the tree, which takes an array and the number which is to be inserted as input.
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