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Scipy FFT functions syntax and method - leodavinci1990 - Mar-11-2019

Hi, I am looking at the Fourier Transforms functions provided by the scipy library found at
https://docs.scipy.org/doc/scipy/reference/tutorial/fftpack.html

from scipy.fftpack import fft
# Number of sample points
N = 600
# sample spacing
T = 1.0 / 800.0
x = np.linspace(0.0, N*T, N)
y = np.sin(50.0 * 2.0*np.pi*x) + 0.5*np.sin(80.0 * 2.0*np.pi*x)
yf = fft(y)
xf = np.linspace(0.0, 1.0/(2.0*T), N//2)
import matplotlib.pyplot as plt
plt.plot(xf, 2.0/N * np.abs(yf[0:N//2]))
plt.grid()
plt.show()
Can someone please explain what is happening at line 9 and 11. And why is there a floor division in both lines?