There are some  keywords for Boolean variables: **and**, **or**, **not**. They exist to create more complex expressions. Next we will see how it works with examples.

 - **and**. If value **x = True** and value **y = True** then **x and y** is equal to **True**. If either of those is **False**, then expression becomes **False** too.
 - **or**. If **x = True** or **y = True** then the expression **x or y** is equal to **True** (or both values = **True**).
- **not** If value x is False then the expression, **not x** evaluates to **True** .
Otherwise, the expression evaluates to **False**.


```
Input:
x, y = True, False
print((x or y) == False)

Output:
False
```



```
Input:
x, y = True, False
print((x and y) == False)

Output:
True
```



```
Input:
x = False
print(not x)

Output:
True
```


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.

Keywords: and, or, not

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Awesome!

Keywords: and, or, not

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