# numpy.inner() in python

`numpy.inner(arr1, arr2)`: Computes the inner product of two arrays. ```Parameters :
arr1, arr2 : array to be evaluated.

Return:  Inner product of the two arrays.```

Code #1 :

 `# Python Program illustrating  ` `# numpy.inner() method  ` ` `  `import` `numpy as geek  ` ` `  `# Scalars  ` `product ``=` `geek.inner(``5``, ``4``)  ` `print``(``"inner Product of scalar values : "``, product)  ` ` `  `# 1D array  ` `vector_a ``=` `2` `+` `3j` `vector_b ``=` `4` `+` `5j` ` `  `product ``=` `geek.inner(vector_a, vector_b)  ` `print``(``"inner Product : "``, product)  `

Output:

```inner Product of scalar values :  20
inner Product :  (-7+22j)
```

Code #2 : As normal matrix multiplication

 `# Python Program illustrating  ` `# numpy.inner() method  ` ` `  `import` `numpy as geek  ` ` `  `# 1D array  ` `vector_a ``=` `geek.array([[``1``, ``4``], [``5``, ``6``]])  ` `vector_b ``=` `geek.array([[``2``, ``4``], [``5``, ``2``]])  ` ` `  `product ``=` `geek.inner(vector_a, vector_b)  ` `print``(``"inner Product : \n"``, product)  ` ` `  `product ``=` `geek.inner(vector_b, vector_a)  ` `print``(``"\ninner Product : \n"``, product)  `

Output:

```inner Product :
[[18 13]
[34 37]]

inner Product :
[[18 34]
[13 37]]
```

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