❓🐍 Python Tools for Engineering 🛠️

# You must make sure to run all cells in sequence using shift + enter or you might encounter errors
from pykubegrader.initialize import initialize_assignment

responses = initialize_assignment("7_python_tools_q", "week_3", "readings", assignment_points = 15.0, assignment_tag = 'week3-readings')

# Initialize Otter
import otter
grader = otter.Notebook("7_python_tools_q.ipynb")

❓🐍 Python Tools for Engineering 🛠️#

# Run this block of code by pressing Shift + Enter to display the question
from questions._7_python_tools_q import Question1
Question1().show()

# Run this block of code by pressing Shift + Enter to display the question
from questions._7_python_tools_q import Question2
Question2().show()

# Run this block of code by pressing Shift + Enter to display the question
from questions._7_python_tools_q import Question3
Question3().show()

NumPy Matrix Determinant#

Instructions:#

Write a Python function using NumPy that computes the determinant of a 2x2 matrix. The function should take a 2D list as input, convert it to a NumPy array, and return the determinant.

We have provided you with the structure for the function matrix_determinant(matrix) since you do not know that yet. You need to complete the function by adding the necessary code to calculate the determinant.

Your solution must include:

  1. A function matrix_determinant(matrix) that:

    • Accepts a 2D list (e.g., [[1, 2], [3, 4]]).

    • Converts it into a NumPy array. Using the np.array() function. You can save this as the variable np_matrix.

    • Calculates and returns the determinant. Using the np.linalg.det() function. You must save this as the variable determinant.

Tip

If you do not know how any of the functions mentioned above work, you can look them up in the documentation help(function_name). This is a good test taking strategy as you will have access to the documentation during the quizzes and tests.

  1. Test cases to validate the correctness of your implementation.

# Import numpy here, make sure to use the common alias np.
...

def matrix_determinant(matrix):
    # Convert the matrix to a numpy array and return the determinant
    # make sure to save it to the variable `np_matrix`
    ...
    
    # Compute the determinant of the matrix
    # make sure to save it to the variable `determinant`
    ...
    return determinant


# Example test case
result = matrix_determinant([[1, 2], [3, 4]])
print(f"Determinant: {result}")

grader.check("numpy-matrix-determinant")

Submitting Assignment#

Please run the following block of code using shift + enter to submit your assignment, you should see your score.

from pykubegrader.submit.submit_assignment import submit_assignment

submit_assignment("week3-readings", "7_python_tools_q")