Now let's move on to sorting arrays. Sorting an array is the allocation of array elements in an ordered sequence (the item can be sorted, for example in descending order, in ascending order, etc).
 Let's try to sort the array:

import numpy as np

array = np.array([3, -4, 6, 0, 12, 499, -123])

print('unsorted array', array)
print('sorted array', np.sort(array))

 >  It's important to mention that, method `sort()` returns a **copy** of the array (original array remains unchanged).

import numpy as np

array = np.array([[-2, 4, -12, -434, 62], [1, 4, 7, 93, 75]])
print('Unsorted array', array)
print('Sorted array', np.sort(array))

In this section we will get acquainted with what the NumPy library is, as well as learn how to create an array.

In this section we will get acquainted with arrays of different dimensions, and understand the difference between them.

In this section we should recall what slices are and learn how to make them for arrays of different dimensions. We shall also learn to refer to elements in an array using their indexes.

In this section we will learn how to reshape arrays and also how to concatenate an array. Moreover we will learn how to sort an array. Also we will learn about such an interesting method that is often used for arrays, namely: copy().