import numpy as np
lst = [1,2,3,4,5,6,7,8,9]
mean = np.mean(lst)
print(mean)

#
a = np.array([[1,2,3],
             [4,5,6]])
b = np.array([[1,2,3],
              [4,5,6]])
print(a)
print(type(a))
print(a.ndim)
print(a.shape)
print(a.size)
c = np.add(a,b)
print(c)
d = np.subtract(a,b)
print(d)
e = np.multiply(a,b)
print(e)
print(a*b)
g = np.average(a)
print(g)

d20fec8cbf84e34f6603ca4ace87eb214a70daba
<mask token>

<mask token>
print(mean)
<mask token>
print(a)
print(type(a))
print(a.ndim)
print(a.shape)
print(a.size)
<mask token>
print(c)
<mask token>
print(d)
<mask token>
print(e)
print(a * b)
<mask token>
print(g)

<mask token>
lst = [1, 2, 3, 4, 5, 6, 7, 8, 9]
mean = np.mean(lst)
print(mean)
a = np.array([[1, 2, 3], [4, 5, 6]])
b = np.array([[1, 2, 3], [4, 5, 6]])
print(a)
print(type(a))
print(a.ndim)
print(a.shape)
print(a.size)
c = np.add(a, b)
print(c)
d = np.subtract(a, b)
print(d)
e = np.multiply(a, b)
print(e)
print(a * b)
g = np.average(a)
print(g)

import numpy as np
lst = [1, 2, 3, 4, 5, 6, 7, 8, 9]
mean = np.mean(lst)
print(mean)
a = np.array([[1, 2, 3], [4, 5, 6]])
b = np.array([[1, 2, 3], [4, 5, 6]])
print(a)
print(type(a))
print(a.ndim)
print(a.shape)
print(a.size)
c = np.add(a, b)
print(c)
d = np.subtract(a, b)
print(d)
e = np.multiply(a, b)
print(e)
print(a * b)
g = np.average(a)
print(g)

import numpy as np
lst = [1,2,3,4,5,6,7,8,9]
mean = np.mean(lst)
print(mean)

#
a = np.array([[1,2,3],
             [4,5,6]])
b = np.array([[1,2,3],
              [4,5,6]])
print(a)
print(type(a))
print(a.ndim)
print(a.shape)
print(a.size)
c = np.add(a,b)
print(c)
d = np.subtract(a,b)
print(d)
e = np.multiply(a,b)
print(e)
print(a*b)
g = np.average(a)
print(g)
