First and foremost, we should get acquainted with numeric data types, which are supposed to be the most commonly used ones.

Numeric data types generally consist of three main, built-in types:  **int**, **float**, and **complex**. By the way, 'built-in' means that Python can initially work with them, and we do not need to pre-define them. Just write **int** using Python.

**int** defines the integer value that you are used to using in regular, everyday life, for instance, `1`,`2`,`45`, and `456566`. Examples of floating-point numbers are like **pi value** `3.14159265359` and **Euler number** `2.71828`. And an example for **complex** is `5+7j`, where `5` is the **real part** and `7j` is the **imaginary part** of the number.

integer_number = 5
float_number_pi = 3.14159265359
complex_number = 1-2j

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.

Match the numbers with their type.