Compute Derivative with Spline.

(a) Modify the python code for Crout Factorization-based cubic splines so (b) Generate a sin curve between-?/2 and ?/2 with a 0.4 step size and use (c) Generate a grid of 100 equally spaced values between -T/2 and T/2 and that it returns both the splines and their derivatives. the values to fit the spline coefficients along with the derivatives. use the fitted spline values to interpolate the values on the grid. Plot the interpolated sin wave along with its interpolated derivative. (a) Modify the python code for Crout Factorization-based cubic splines so (b) Generate a sin curve between-?/2 and ?/2 with a 0.4 step size and use (c) Generate a grid of 100 equally spaced values between -T/2 and T/2 and that it returns both the splines and their derivatives. the values to fit the spline coefficients along with the derivatives. use the fitted spline values to interpolate the values on the grid. Plot the interpolated sin wave along with its interpolated derivative