It is time for **floating point numbers**.

A floating point number is a number with decimal places, so floating point number has an integer part, and a fraction. For example, `65.3`, `-0.04`, `1000.01` are all floating point numbers.


```
Input:
# Creating floating point numbers and check the type of the created object
x = 100.12
y = -5.5632
z = -12350.0

print(f'It`s x: {x}, the type of x is {type(x)}')
print(f'It`s y: {y}, the type of y is {type(y)}')
print(f'It`s z: {z}, the type of z is {type(z)}')

Output:
It`s x: 100.12, the type of x is <class 'float'>
It`s y: -5.5632, the type of y is <class 'float'>
It`s z: -12350.0, the type of z is <class 'float'>
```


A data type is a classification of data. Python, like most programming languages, supports such basic types of data as strings, numeric, and logical types.
 For programmers, one of the most important basic skills is a deep understanding of data types and data structures.
So, let's get to know Python datatypes!

In this section, we will learn basic things about the numerical type of data, what they are, how to create them and what we can do with them.

In this section we will learn about another type of data, namely Boolean, as well as how it is characterized and what to do with it.

In this section we will learn a lot about strings, as well as methods of working with them. Learn what string slicing is and practice working with it.

Python Data Types

Floating Point Numbers

Oplossing

Floating Point Numbers

Oplossing