Python Coding challenge - Day 425| What is the output of the following Python Code?

 

Code Explanation:

1. Importing Required Libraries

from scipy.linalg import eig

import numpy as np

scipy.linalg.eig: This function is used to compute the eigenvalues and eigenvectors of a square matrix.

numpy (np): A fundamental package for numerical computations in Python.

2. Defining the Matrix A

A = np.array([[0, -1], [1, 0]])

This matrix represents a 90-degree rotation in 2D space.

3. Computing Eigenvalues

eigenvalues, _ = eig(A)

eig(A): Computes the eigenvalues and eigenvectors of matrix A.

eigenvalues: The roots of the characteristic equation 

det(A−λI)=0.

_: We use _ as a placeholder since we are not interested in the eigenvectors.

4. Printing the Eigenvalues

print(eigenvalues)

The output will be:

Final Output:

[1j ,-1j]