The NumPy exp() function is used to calculate e raised to the power of given value, i.e., ex. Please note that e is the base of the natural system of logarithms, and its value is approximately 2.718282.

### Syntax

```numpy.exp(a, out=None)
```

### Parameters

 `a` `Required. `Specify array (array_like) containing elements, of which the exponential is calculated. `out` `Optional. `Specify a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.

### Return Value

Returns the exponential of each element of a.

### Example:

In the below example, numpy exp() function is used to calculate the exponential of each element present in array Arr.

```import numpy as np

Arr = np.array([0, 1, 2, 3])

print("The exponential of values:")
print(np.exp(Arr))
```

The output of the above code will be:

```The exponential of values:
[  1.           2.71828183   7.3890561   20.08553692]
```