**NumPy** is one of the many modules in the Python programming language that allows you to work with arrays and matrices. Furthermore, this module comes equipped with a robust collection of mathematical functions for manipulating these arrays.

We must *import* this library to use it. Let's see how we do it:
```python
import numpy # Importing NumPy
```

The syntax for using a function from the library is as follows:
```python
# Importing NumPy
import numpy

# Using a function from NumPy
numpy.function()
```

The alias should be used to simplify the use of this library. Let's see how we do it:
```python
import numpy as np  # Importing NumPy
```

Here, 'np' is an alias. Therefore, in the future, when using functions from this library, we will do it like this:
```python
# Importing NumPy
import numpy as np

# Using a function from NumPy
np.function()
```

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().

NumPy in a Nutshell

What is NumPy?

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