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NumPy Exercises

NumPy: Compute the determinant of a given square array

NumPy: Linear Algebra Exercise-4 with Solution

Write a NumPy program to compute the determinant of a given square array.

From Wikipedia: In linear algebra, the determinant is a value that can be computed from the elements of a square matrix. The determinant of a matrix A is denoted det(A), det A, or |A|. Geometrically, it can be viewed as the scaling factor of the linear transformation described by the matrix.

In the case of a 2 × 2 matrix the determinant may be defined as:

NumPy Linear algebra: Compute the determinant of a given square array

Sample Solution :

Python Code :

import numpy as np
from numpy import linalg as LA
a = np.array([[1, 0], [1, 2]])
print("Original 2-d array")
print(a)
print("Determinant of the said 2-D array:")
print(np.linalg.det(a))

Sample Output:

Original 2-d array
[[1 0]
 [1 2]]
Determinant of the said 2-D array:
2.0

Python Code Editor:


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