# numpy.dot()

This function returns the dot product of two arrays. For 2-D vectors, it is the equivalent to matrix multiplication. For 1-D arrays, it is the inner product of the vectors. For N-dimensional arrays, it is a sum product over the last axis of a and the second-last axis of b.

```import numpy.matlib
import numpy as np

a = np.array([[1,2],[3,4]])
b = np.array([[11,12],[13,14]])
np.dot(a,b)
```

It will produce the following output −

```[[37  40]
[85  92]]
```

Note that the dot product is calculated as −

```[[1*11+2*13, 1*12+2*14],[3*11+4*13, 3*12+4*14]]
```
numpy_linear_algebra.htm

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