Numpy, Python's pre-eminent mathematics library, makes it easy to generate random numeric data in the form of two-dimension arrays.

Here's one way of generating some random numeric data with Numpy.

### Import `Numpy`

When importing `numpy`

the standard practice is to import is as `np`

.

`import numpy as np`

### Build some random data in the form of a `numpy`

array

Suppose I want to generate some random numeric data that consists of integers ranging from 0 to 99 in the form of an array that has 3 rows and five columns.

`data = np.random.randint(100, size=(3,5)``

This will yield an array that looks something like this:

```
array([[82, 7, 92, 35, 7],
[81, 71, 56, 80, 82],
[55, 6, 96, 87, 83]])
```