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Below are few more special NumPy arrays that you can create, having values within a particular given range.

For example, you can create a NumPy array in the below ways:

- By passing a range of values (using
`arange()`

function of NumPy) - By passing an equally spaced range of values (using
`linspace()`

function of NumPy)

**Note:** Please import numpy as np

**(1) Creating a NumPy array by passing a range of values (using arange() function of NumPy)**

Suppose you want to create a NumPy array whose values should lie between 10 and 30 and the values should have a gap of the value of 5

To create this NumPy array, pass the start value (10), end value (30) and the gap value 5, to the

`arange()`

function below`my_range_array = np.arange( <<your code comes here>>)`

The above NumPy array my_range_array will be filled with values between 10 and 30 (excluding 30) having a gap of the value of 5 between the consecutive values.

**(2) Creating a NumPy array by passing an equally spaced range of values (using linspace() function of NumPy)**

Suppose you want to create a NumPy array whose values should lie between 0 and 5/3 and the consecutive values should have an equal amount of gap between them (equally spaced values).

To create this NumPy array, pass the start value (0), end value (5/3), and the total number of values you want (say 6), to the

`linspace()`

function below`my_spaced_array = np.linspace( <<your code comes here>>)`

The above NumPy array `my_spaced_array`

will have total of 6 values with values ranging between 0 and 5/3 (including 5/3) and having an equal amount of gap between the consecutive values.

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