You've examined that the `+` operator can be applied to statements that are related to **one data type**: concatenate strings, add some numbers, etc. But please look at this simple example where input and output are pretty understandable for you: 

However, multiplication works not only with equal data types, but with various ones too. This means that **we can multiply your string by a number**. For instance, if we multiply it by 2, the string will be printed twice. Take a look at the following example:

> Note
>
> We can multiply a string only by an **integer number**.

import unittest


class ExpectedType:
    def __init__(self, expected_type, name):
        self.expected_type = expected_type
        self.name = name


class TestUserCode(unittest.TestCase):
    def _test_variable_equals(self, var_name, expected, expected_type=None):
        import user_code  # ensure your file is named user_code.py
        if not hasattr(user_code, var_name):
            return (False, f"Expected '{var_name}' variable to be defined.")
        var = getattr(user_code, var_name)

        if expected_type is not None and not isinstance(var, expected_type.expected_type):
            return (False, f"Expected '{var_name}' to be of type '{expected_type.name}', but got '{type(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_repeated_heading(self):
        passed, result_text = self._test_variable_equals(
            'repeated_heading', "OverOver", expected_type=ExpectedType(str, 'str'))
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

    def test_repeated_subheading(self):
        passed, result_text = self._test_variable_equals(
            'repeated_subheading', "8 million8 million8 million", expected_type=ExpectedType(str, 'str'))
        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.

Math in Strings

Solution

Math in Strings

Solution