Python Coding challenge - Day 658| What is the output of the following Python Code?

Code Explanation:

1. Importing the NumPy library

import numpy as np

This line imports the NumPy library, giving it the alias np, which is a standard practice.

NumPy provides powerful support for numerical operations and handling arrays efficiently.

2. Creating a NumPy array

arr = np.array([3, 15, 8, 22, 7])

This creates a NumPy array named arr with the elements [3, 15, 8, 22, 7].

The array holds 5 integers.

3. Creating a boolean mask

mask = arr < 10

This line creates a boolean mask based on the condition arr < 10.

It checks each element in arr and returns True if the element is less than 10, otherwise False.

The result of this comparison is:

[True, False, True, False, True]

4. Using the mask to modify the array

arr[mask] = 0

This line uses the mask to update the array arr.

Wherever the mask is True, the corresponding element in arr is replaced with 0.

The elements at indices 0, 2, and 4 are replaced (i.e., 3, 8, and 7).

Updated arr becomes:

[0, 15, 0, 22, 0]

5. Calculating and printing the sum of the array

print(np.sum(arr))

np.sum(arr) computes the sum of all elements in the updated array:

0 + 15 + 0 + 22 + 0 = 37

The result 37 is printed to the console.

Final Output:

37

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