In programming, there are no insurmountable obstacles; **persistent practice** can overcome any challenge. Therefore, let us discuss another essential aspect related to strings.

It is valuable to understand how to **merge strings**. In Python, this is achieved effortlessly by using the `+` operator. While this may seem obvious, I will provide a detailed explanation as customary. Consider the following example (a well-known string from The Beatles' song 'Tell Me Why').

string1 = "Tell me why you cried,"
string2 = " and why you lied to me"
string = string1 + string2

print(string)

import unittest


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_output1(self):
        passed, result_text = self._test_variable_equals_string(
            'output1', 'country: Italy')
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

    def test_output2(self):
        passed, result_text = self._test_variable_equals_string(
            'output2', 'country: Ukraine')
        self._testMethodName = result_text
        self.assertTrue(passed, result_text)

    def test_output3(self):
        passed, result_text = self._test_variable_equals_string(
            'output3', 'country: Egypt')
        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.

Merge Strings

Solution

Merge Strings

Solution