from scipy import stats
import matplotlib.pyplot as plt
import random
import numpy as np
# a = random.sample([1, 2, 3], 3)
# print(a)
# print(a[1])
# for i in range(11, 21):
#     print(i)
# print("""
# asdf """, 10, """ase """)
# print(random.randint(0, 1))
# print(random.randint(1, 2))
# print([chr(i) for i in range(ord('A'), ord('J') + 1)])
# print(np.arange(0, 1.1, 0.1))
# print(list(range(1, 11)))
# print(random.choice([1, 2, 4]))

# mu = 5
# std = 10
# snd = stats.norm.rvs(mu, std, size=10000)
# plt.hist(snd, bins=50)
# plt.show()