rref of an augmented matrix in python

To find the Reduced Row Echelon Form (rref) of an augmented matrix in Python, we can use the NumPy library. Here's the code:

main.py
import numpy as np

# Define augmented matrix
A = np.array([[1, 2, 3, 4], [5, 6, 7, 8], [9, 10, 11, 12]])

# Compute rref
rref, _ = np.linalg.qr(A)

# Print rref
print(rref)
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In this example, the augmented matrix A is defined as a NumPy array. Then, the np.linalg.qr() function is used to find the QR decomposition of A, which includes the rref of A as a sub-matrix in the upper-left corner. The rref variable is assigned this sub-matrix, and then printed to the console.

Note that while there are other ways to compute the rref of a matrix in Python, using np.linalg.qr() is a straightforward and efficient option for most cases.