Python plz

6. Let fj = camz), x; = j2%/N for j = 0, 1, ..., N -1. Take N = 8. Using your fit package obtain Pg(I) and find a spectral approcimation of the derivative of esin at a; for j = 0, 1, ..., N - 1 by computing Pg(x;). Compute the actual error in the approximation. 7. Note that PM(r) is again a trigonometric polynomial of degree