### Numeric Values in Boolean Type  
In Python, any number **except** `0` is interpreted as `True`. Using only `0` and `1` helps avoid confusion when checking conditions.  

### Case Sensitivity  
Python is case-sensitive, meaning `True` and `False` must be capitalized. Writing `true` or `false` will result in an error.

### Boolean Operators
The operators `>`, `<`, `!=`, `==`, `<=`, and `>=` are essential for making meaningful boolean statements. Without these symbols, boolean statements wouldn't serve any purpose.

Let's look at the example of simple boolean statements:

The following expressions return `True`:

```python
1 > -5
6 != 3
8 <= 8
```

However, these expressions return `False`:

```python
5 < -9
0 == 1
-890 >= 890
```

import unittest
import sys
from io import StringIO

class TestUserCode(unittest.TestCase):
    def test_statement1_correct(self):
        self._testMethodName = 'statement1 equals False'
        import user_code
        self.assertTrue(hasattr(user_code, 'statement1'), "Expected statement1 to be defined.")
        self.assertEqual(user_code.statement1, False, f"Expected statement1 to equal False, but got {user_code.statement1}.")

    def test_statement2_correct(self):
        self._testMethodName = 'statement2 equals False'
        import user_code
        self.assertTrue(hasattr(user_code, 'statement2'), "Expected statement2 to be defined.")
        self.assertEqual(user_code.statement2, False, f"Expected statement2 to equal False, but got {user_code.statement2}.")

    def test_statement3_correct(self):
        self._testMethodName = 'statement3 equals False'
        import user_code
        self.assertTrue(hasattr(user_code, 'statement3'), "Expected statement3 to be defined.")
        self.assertEqual(user_code.statement3, False, f"Expected statement3 to equal False, but got {user_code.statement3}.")


if __name__ == '__main__':
    unittest.main()

test_main.py

This course is going to help you dive deeper into data types and try to work with them. Here you will learn basic operations and all ins and outs of numbers, boolean data type, and strings. This course consists of a lot of practical tasks after which you will become a skillful programmer.

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.

Mastering boolean data types and logical operations in Python. You'll learn how to work with True and False, apply logical operators like and, or, and not, and understand how operator precedence works in complex expressions.

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.

Data Types in Python

Introduction to Boolean Data Type

Numeric Values in Boolean Type

Case Sensitivity

Boolean Operators

Solution

Introduction to Boolean Data Type

Numeric Values in Boolean Type

Case Sensitivity

Boolean Operators

Solution