# How to Solve a System of Linear Equations in Python?

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

``````import numpy as np

# Define the coefficients of the equations
A = np.array([[2, 3], [4, 5]])
b = np.array([6, 7])

# Solve the system of equations
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 coefficients of the equations using `A = np.array([[2, 3], [4, 5]])` for the matrix of coefficients and `b = np.array([6, 7])` for the column vector of constants.

We solve the system of equations 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 coefficients of the equations. Make sure that the system of equations is consistent and has a unique solution.