You can learn about NumPy in Python Programs with Outputs helped you to understand the language better.

## Python Programming – Arithmetic Operations On Array

NumPy is not only about efficient storing of data but also makes it extremely easy to perform the arithmetic operations on multi-dimensional arrays directly. In the following example, the arithmetic operations are performed on the two multi-dimensional arrays.

**Example**

Demo of arithmetic operations.

import numpy as np a = np.array([[10,20,30], [10,15,4]]) b = np.array![[2,4,8] , [5, 19, 29]]) print(“Sum of array a and b\n”,a+b) print(“Product of array a and b\n”,a*b) print(“Division of array a and b\n”,a/b)RUN >>> Sum of array a and b [[12 24 38] [15 34 33]] Product of array a and b [[ 20 80 240] [ 50 285 116]] Division of array a and b [ [5. 5 . 3.75 ] [2. 0.78947368 0.13793103]] >>> |

- Python Programming – Introduction To Numpy
- Python Programming – Array Creation
- Python Programming – Array Attributes

**Let’s Try**

import numpy as np x = np. array ( [ [12,16,15] , [10,15,4] ] ) y = np.array( [ [2,4,5], [5, 3, 2]]) print(“Sum of array\n”,x+y) print(“Product of array \n”,x*y) print(“Division of array\n”,x/y) |