Python Coding challenge - Day 764| What is the output of the following Python Code?

 

Code Explanation:

1. Importing the heapq module

import heapq

Imports Python’s heap queue library.

Provides efficient operations for min-heaps (priority queues).

2. Creating a list of numbers

nums = [9, 5, 1, 7, 3]

Defines a normal Python list.

Elements are not yet arranged like a heap.

3. Converting the list into a heap

heapq.heapify(nums)

Rearranges nums into a min-heap in-place.

After this, the smallest element (1) becomes the root of the heap.

The internal order may look like: [1, 3, 5, 7, 9] (heap property, not full sort).

4. Removing the smallest element

smallest = heapq.heappop(nums)

Pops and returns the smallest element from the heap.

smallest = 1

Remaining heap becomes [3, 7, 5, 9].

5. Finding the 3 largest elements

largest_three = heapq.nlargest(3, nums)

Retrieves the 3 largest elements from nums.

This does not modify the heap.

largest_three = [9, 7, 5]

6. Printing results

print(smallest, largest_three)

Prints both values:

1 [9, 7, 5]

Final Output:

1 [9, 7, 5]

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