# How to Solve a Linear System in Python?

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.