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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import scipy
import datetime

%matplotlib inline

x = np.array([2.2, 0.9, 4.4, 6.7, 2.8, 3.2, 1.1, 3.5])
x_var = np.var(x)
x_stdev = np.std(x)
print('Variance: {:4.2f}'.format(x_var))
print('Std Deviation: {:4.2f}'.format(x_stdev))

# create a sample DataFrame
df = pd.DataFrame({'name': ['Alice', 'Bob', 'Charlie'], 'age': [25, 30, 35], 'state': ['NY', 'CA', 'TX']})
df

df.age.apply(lambda x: x/10)

from datetime import timedelta
1 / timedelta(days=91).total_seconds()

password = ''
while password != 'fizzbuzz':
    password = input('Please enter the password: ')