%matplotlib inline

import matplotlib.pyplot as plt
import numpy as np

a = np.array([1, 2, 3, 42])

a

b = np.linspace(0, 10, 50)

b

np.sin(b)

_ = plt.plot(b, np.sin(b))

plt.plot(b, np.sin(b), label='f(x) = sin(x)')
plt.plot(b, np.cos(2 * b), label='f(x) = cos(2x)')
_ = plt.legend(loc='lower right')

x = np.random.normal(loc=0, scale=1.0, size=1000)

x.shape

x.dtype

x[:10]

np.mean(x), np.std(x)

np.min(x), np.max(x)

_ = plt.plot(x)

_ = plt.hist(x, bins=20)

_ = plt.plot(np.cumsum(x))