Please use python and include a screenshot of the code implemented

2. Develop codes for the Nave Gaussian Elimination 5. You can use the idea of three for loops to eliminate elements in the coiumis thatrs, zero out elements below the diagonal ajj ). 5. Implement the GE of (2) and compare with the bulti-in functions in Python a. Use the built-in solver np.1 inalg. solve(A,B) to solve the linear system b. Use the built-in function to compute the LU decomposition of a matrix. P,L,U=scipylinalglu(A). aport Deliverables: 1. Determine the solution to the flowing system of linear equations using the nave Gaussian Elimination that you implemented. 10x1+2x2x33x16x2+2x3x1+x2+5x3=27=61.5=21.5 b. Run the same problem using Python's the built-in function np.1 inalg. solve(A,B) c. Use the Python crock function (time ()) to time the calculations What do you observe? Which method is the fastest? Why? d. Perform an LU decomposition of the system matrix and discuss the results. What is the relation of the L and U factors with the system's multipliers? Solve the linear system by the LU factors. Is there any difference with the previous solvers