Summary  
This chapter covers how to extract substrings from a string using slicing with an inclusive start index and an exclusive end index.

General domain of usage  
Text processing

Slicing allows you to extract a __substring__ — a sequence of characters from a string.
Unlike indexing (which gives one character), slicing returns a portion of the string.

```python
string[start : end]
```

`start` — the index where the slice begins (inclusive)

`end` — the index where the slice stops (exclusive)

So the character at __start is included__, but the __character at end is not__.

record = "Invoice INV-2024-007 paid"
invoice_code = record[8:21]
print(invoice_code)  # Output: INV-2024-007

In this case:
- `'I'` is at index `8`;
- '`7'` is at index `20`;

So we use `[8:21]` to get the full invoice code

import unittest
import sys
from io import StringIO


class TestUserCode(unittest.TestCase):
    def _test_variable_equals_string(self, var_name, expected):
        import user_code
        if not hasattr(user_code, var_name):
            return (False, f"Expected '{var_name}' variable to be defined.")
        var = getattr(user_code, var_name)
        if var != expected:
            return (False, f"Expected '{var_name}' to equal '{expected}', but got '{var}'.")
        return (True, f'The variable {var_name} equals "{expected}".')

    def test_asset_declared(self):
        passed, result_text = self._test_variable_equals_string('asset', 'asset')
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

    def test_debit_declared(self):
        passed, result_text = self._test_variable_equals_string('debit', 'debit')
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)


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 an essential part of Python programming, allowing you to work with text data. In this section, you'll learn how to manipulate strings, extract characters, slice words, and search for specific phrases.

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

Slice the Word

Solution

Awesome!

Slice the Word

Solution

Awesome!