How to Solve a Linear System in Python?

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To solve a linear system in Python, you can use the numpy library. Here’s an example of how to solve a linear system in Python:

import numpy as np

# Define the matrix of coefficients
A = np.array([[2, 3], [4, 5]])

# Define the column vector of constants
b = np.array([6, 7])

# Solve the linear system
x = np.linalg.solve(A, b)

# Print the solution
print(x)

In this example, we first import the numpy library using import numpy as np.

We define the matrix of coefficients using A = np.array([[2, 3], [4, 5]]) and the column vector of constants using b = np.array([6, 7]).

We solve the linear system using x = np.linalg.solve(A, b). This function takes in the matrix of coefficients and the column vector of constants and returns a solution as a row vector.

Finally, we print the solution using print(x).

Note: You’ll need to modify the code to define your own matrix of coefficients and column vector of constants. Make sure that the linear system has a unique solution.

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