Python Coding challenge - Day 419| What is the output of the following Python Code?

 

Code Explanation: 

1. Importing the NumPy Library

import numpy as np

numpy is a powerful Python library for numerical computations.

It provides functions for working with arrays, matrices, and mathematical operations.

np is the commonly used alias for numpy.

2. Creating a Matrix Using NumPy

matrix = np.array([[3, 5, 1], 

                    [4, 6, 2], 

                    [7, 8, 9]])

np.array() is used to create a NumPy array (a matrix in this case).

The matrix is a 3x3 square matrix with three rows and three columns.

 3. Understanding Matrix Trace

The trace of a square matrix is the sum of its diagonal elements.

The diagonal elements are the ones where the row index equals the column index (from top-left to bottom-right).

4. Calculating the Trace Using NumPy

trace_value = np.trace(matrix)

np.trace() is a built-in NumPy function that directly calculates the trace of a square matrix.

It efficiently sums the diagonal elements.

5. Printing the Result

print("Trace:", trace_value)

This prints the calculated trace value.

The output will be:

Trace: 18