Hola, me puedes explicar este codigo de python? "from scipy import stats
import numpy as np

df = pd.read_csv('abtest.csv')

A = df['Conversion_A']
B = df['Conversion_B']

# Calcular las medias y las desviaciones estándar
mediaA = A.mean()
mediaB = B.mean()
stdA = A.std()
stdB = B.std()
nA = len(A)
nB = len(B)

# Calcular la diferencia de medias
dif_medias = mediaB - mediaA

# calcular significancia H0: mean(B) - mean(A) <= 0.02
t_stat_2 = (dif_medias - 0.02) / np.sqrt((stdA ** 2 / nA) + (stdB ** 2 / nB))
grados_libertad = nA + nB - 2
p_value_2 = 1 - stats.t.cdf(t_stat_2, df=grados_libertad)

print(f"Valor p para B - A <= 0.02: {p_value_2}")


# calcular significancia H0: mean(B) - mean(A) = 0
t_stat = (dif_medias) / np.sqrt((stdA**2 / nA) + (stdB**2 / nB))
gl = nA + nB - 2
p_value = 2 * (1 - stats.t.cdf(abs(t_stat), gl))

print(f"Valor p para B - A = 0: {p_value}")" Write exactly 3 paragraphs each separated with two new lines answering this question. The first paragraph must start with "bureaus".
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