# Arrays in Python – HackerRank Solution

The NumPy (Numeric Python) package helps us manipulate large arrays and matrices of numeric data.
To use the NumPy module, we need to import it using:

```import numpy
```

Array :A NumPy array is a grid of values. They are similar to lists, except that every element of an array must be the same type.

```import numpy
a = numpy.array([1,2,3,4,5])
print a          #2
b = numpy.array([1,2,3,4,5],float)
print b          #2.0
```

in the above example, `numpy.array()` is used to convert a list into a NumPy array. The second argument (float) can be used to set the type of array elements.

You are given a space separated list of numbers.
Your task is to print a reversed NumPy array with the element type float.

#### Input Format :

A single line of input containing space separated numbers

#### Output Format :

Print the reverse NumPy array with type float.

#### Sample Input :

```1 2 3 4 -8 -10
```

#### Sample Output :

`[-10.  -8.   4.   3.   2.   1.]`

### Arrays in Python – HackerRank Solution

```import numpy
def arrays(arr):
# complete this function
# use numpy.array
# Arrays in Python - Hacker Rank Solution START
return(numpy.array(arr[::-1], float))
# Arrays in Python - Hacker Rank Solution END
arr = input().strip().split(' ')
result = arrays(arr)
print(result)```

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