# NumPy Matrix Multiplication in Python

This article will show you how to use Python to execute element-wise matrix multiplication. Every element of the first matrix is multiplied by the corresponding element of the second matrix in element-wise matrix multiplication.

Both matrices should have the same dimensions when doing element-wise matrix multiplication. The size of the resultant matrix c of element-wise matrix multiplication a*b = c is always the same as that of a and b.

The NumPy library's np.multiply(x1, x2) method accepts two matrices as input, performs element-wise multiplication on them, and returns the resultant matrix as input.

To execute element-wise input, we must send the two matrices as input to the np.multiply() method. The example code below shows how to use Python's np.multiply() function to perform element-wise multiplication of two matrices.

```
# importing numpy library
import numpy as np
num1 = np.array([[17,46,33,7,12],[13,25,8,3,26]])
num2 = np.array([[5,26,11,17,22],[21,38,19,3,4]])
print(np.multiply(num1,num2))
```

Output:

`[[ 85 1196 363 119 264] [ 273 950 152 9 104]] `

This is a very simple example of array multiplication using numpy library in python.

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