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# How can SciPy be used to calculate the determinant value of a matrix in Python?

The determinant value can be calculated on a matrix or on an array that has more than one dimension.

It may sometimes be required to understand the marix/array better. This is where the determinant operation would be needed.

SciPy offers a function named ‘det’ that is present in the ‘linalg’ class which is short for ‘Linear Algebra’.

**Syntax of ‘det’ function**

scipy.linalg.det(matrix)

The ‘matrix’ is the parameter that is passed to the ‘det’ function to find its determinant value.

This function can be called by passing the matrix/array as an argument.

In the above picture, assume that ‘a’, ‘b’, ‘c’ and ‘d’ are numeric values of a matrix. The determinant is calculated by finding the difference between the product of ‘a’, ‘d’ and ‘b’,’c’.

Let us see how it can be done.

## Example

from scipy import linalg import numpy as np two_d_matrix = np.array([ [7, 9], [33, 8] ]) print("The determinant value of the matrix is :") print(linalg.det(two_d_matrix ))

## Output

The determinant value of the matrix is : -241.0

## Explanation

- The required libraries are imported.
- A matrix is defined with certain values in it.
- Parameters are passed to the ‘det’ function that computes the determinant value of the matrix.
- The function is called.
- This output is displayed on the console.

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