Let's look at the example of 2-D array with numbering of axes.

Let's look at the example of indexing(positive and negative) in 2-D arrays.

Let's look at the syntax of slicing: `array[start_row: end_row: step_row, start_column: end_column: step_column]` respectively:
- start_row - the index from which to start slicing the rows.
- end_row - the index till which the slicing of rows ends (! this index is not included).
- step_row - this parameter determines the increments between the indices.
- start_column - the index from which to start slicing the columns.
- end_columns - the index till which the slicing of columns ends (! this index is not included).
- step_column - this parameter determines the increments between the indices.

Let's look at the next image.

Let's look at the example of 3-D array with numbering of axes.

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().