np.linalg.det() for determinant in NumPy - Mini Project: Build & Apply

Calculate Matrix Determinant Using np.linalg.det()

📖 Scenario: You work as a data analyst and need to find the determinant of a matrix to understand its properties. Determinants help in solving systems of equations and checking if a matrix is invertible.

🎯 Goal: Build a small program that creates a matrix, sets up a configuration variable, calculates the determinant using np.linalg.det(), and prints the result.

📋 What You'll Learn

Create a 2x2 numpy array called matrix with values [[4, 7], [2, 6]]

Create a variable called precision and set it to 2

Calculate the determinant of matrix using np.linalg.det() and store it in determinant

Round the determinant to precision decimal places

Print the rounded determinant

💡 Why This Matters

🌍 Real World

Determinants are used in engineering and data science to solve systems of linear equations and check matrix properties.

💼 Career

Knowing how to calculate determinants helps in data analysis, machine learning, and scientific computing roles.

1

Create the matrix

Import numpy as np and create a 2x2 numpy array called matrix with values [[4, 7], [2, 6]]

NumPy

import numpy as np
# Create the matrix variable here
# Your code here

Need a hint?

Use np.array() to create the matrix with the exact values.

2

Set the precision variable

Create a variable called precision and set it to 2

NumPy

import numpy as np
matrix = np.array([[4, 7], [2, 6]])
# Create the precision variable here
# Your code here

Need a hint?

Just assign the number 2 to the variable precision.

3

Calculate the determinant

Calculate the determinant of matrix using np.linalg.det() and store it in a variable called determinant. Then round determinant to precision decimal places.

NumPy

import numpy as np
matrix = np.array([[4, 7], [2, 6]])
precision = 2
# Calculate determinant and round it here
# Your code here

Need a hint?

Use np.linalg.det(matrix) to get the determinant, then use round() with precision.

4

Print the determinant

Print the variable determinant to display the rounded determinant value

NumPy

import numpy as np
matrix = np.array([[4, 7], [2, 6]])
precision = 2
determinant = np.linalg.det(matrix)
determinant = round(determinant, precision)
# Print the determinant here
# Your code here

Need a hint?

Use print(determinant) to show the result.