Python Coding challenge - Day 758| What is the output of the following Python Code?

 

Code Explanation:

1. Importing heapq

import heapq

We import the heapq module, which allows us to work with min-heaps in Python.

2. Creating a List

nums = [8, 3, 6]

A normal Python list is created.

Currently: nums = [8, 3, 6].

3. Converting List to Heap

heapq.heapify(nums)

This function rearranges the list into a min-heap structure.

After heapify: nums = [3, 8, 6] (smallest element always at index 0).

4. Adding a New Element

heapq.heappush(nums, 2)

Adds the value 2 to the heap while keeping heap properties.

Heap after push: nums = [2, 3, 6, 8].

5. Removing the Smallest Element

x = heapq.heappop(nums)

Removes and returns the smallest element (root of the heap).

Here, x = 2.

Heap becomes: nums = [3, 8, 6].

6. Printing the Result

print(x, heapq.nlargest(2, nums))

x = 2.

heapq.nlargest(2, nums) → finds the two largest elements in [3, 8, 6], which are [8, 6].

Final Output

2 [8, 6]

500 Days Python Coding Challenges with Explanation