How can I use NumPy to solve systems of equations?
You can use the numpy.linalg.solve()
function to solve systems of linear equations. Just provide the coefficient matrix and the constant vector.
Can you show me an example?
Sure! If you have the equations 2x + 3y = 5 and 4x + y = 6, you can represent them as:
import numpy as np
A = np.array([[2, 3], [4, 1]])
b = np.array([5, 6])
solution = np.linalg.solve(A, b)
print(solution)
What does the output represent?
The output will be an array containing the values of x and y that satisfy both equations.
Are there any other methods to solve systems of equations in NumPy?
Yes, you can also use numpy.linalg.inv()
to find the inverse of the matrix, but it's less efficient for large systems.
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