np.linalg.det() for determinant in NumPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to calculate the determinant of matrix A.

NumPy

import numpy as np
A = np.array([[1, 2], [3, 4]])
det = np.linalg.[1](A)
print(det)

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Adeterminant_value

Bdeterminant

Cdet

Ddetermin

Attempts:

3 left

💡 Hint

Common Mistakes

Using a wrong function name like 'determinant' or 'determin'.

Trying to call determinant as an attribute instead of a function.

The function to calculate the determinant in numpy is np.linalg.det().

2fill in blank

medium

Complete the code to create a 3x3 matrix and calculate its determinant.

NumPy

import numpy as np
B = np.array([[1, 0, 2], [0, 1, 0], [3, 0, 1]])
det_B = np.linalg.[1](B)
print(det_B)

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Adet

Bdeterminant

Cdeterminant_value

Ddetermin

Attempts:

3 left

💡 Hint

Common Mistakes

Using a non-square matrix which causes an error.

Using a wrong function name.

Use np.linalg.det() to calculate the determinant of any square matrix.

3fill in blank

hard

Fix the error in the code to correctly compute the determinant of matrix C.

NumPy

import numpy as np
C = np.array([[2, 5], [1, 3]])
det_C = np.linalg.[1](C)
print(det_C)

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Adeterminant

Bdetermin

Cdeterminant_value

Ddet

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'determinant' instead of 'det'.

Misspelling the function name.

The correct function name is det in np.linalg to compute the determinant.

4fill in blank

hard

Fill both blanks to create a 2x2 matrix and calculate its determinant.

NumPy

import numpy as np
matrix = np.array([[[1], [2]], [4, 5]])
det_matrix = np.linalg.det(matrix)
print(det_matrix)

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A1

B2

C3

D6

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-numeric values in the matrix.

Creating a non-square matrix.

The matrix is [[1, 2], [4, 5]]. The determinant is calculated using np.linalg.det().

5fill in blank

hard

Fill all three blanks to create a 3x3 matrix and calculate its determinant.

NumPy

import numpy as np
M = np.array([[[1], 0, 0], [0, [2], 0], [0, 0, [3]]])
det_M = np.linalg.det(M)
print(det_M)

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A2

B3

C4

D5

Attempts:

3 left

💡 Hint

Common Mistakes

Filling non-diagonal elements with non-zero values.

Using incorrect diagonal values.

The matrix is diagonal with values 5, 3, and 4 on the diagonal. The determinant is the product of these values.