We've already encountered float and integer types; therefore, we can distinguish whether the type is float or integer. What is your guestimation for the result of the mathematical operation `6/1.5`? We can simply calculate that it is equal to `4`, but to which type does `4` belong? It seems to be an integer, but indeed it is float. To be sure about the type, use the `type()` function.

>This can be grasped because to define **type**, we can use the `type()` function; it is consonant.


 ```
Input:
variable = 6/1.5
print(type(variable))

Output:
<class 'float'>
 ``` 


Numeric data types are crucial in Python, so it is important to start with them. Here you will work with simple math operations and find out the purposes of learning different types of numerical data.

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

Strings are a way for us to implement your phrases in Python, that is, to give instructions to users who are the target audience of your program. Indeed, it is always better to be able to work with strings because they should be used in your code. You'll understand why soon.

This chapter consists of practical tasks that combine all the examined topics together with a bit of theory.