review of numpy in python

NumPy is ?

• library for data structure and scientific calculations

• library for data structure and and pictures

two-dimensional array ?

• array with one rows and columns

• array with multiple rows and columns

Match the code output data ?

np.array([‘A’])

• ‘

  A

• [‘A’]

print(np.array([3.14,7]))

what is the output?

• 3.14 7

• [3.14 7 ]

np.arange(2,8,1)

• [2 3 4 5 6 7 8]

• [2 3 4 5 6 7]

np.arange(1,7,2)

• [1 3 5 8]

• [1 3 5]

(c) Create an array with multiples of 10 from 0 to 100.

0 10 20 30 40 50 60 70 80 90 100

• import numpy as np tens=np.arange(0,101,10)

  print(tens)

• import numpy as np tens=np.arange(0,110,10)

  print(tens)

orange(1,10,1)

• 1 ,2,3,4,5,6,7,8,9

• 1,3,4,6,10

• ,1,3,5,6

• 1,2,,,67,5

orange(2,6,2)

• 2,4

• 2,4,6

• 2,4,5,6