The `%` operator returns the remainder of dividing one number by another. For example, `5 % 2` returns **1**, since **2** fits into **5** twice with a remainder of **1**. This is useful for checking whether a number is even or odd.  

# Check if the number is even
print(1 % 2 == 0)  # False (odd)
print(2 % 2 == 0)  # True (even)
print(3 % 2 == 0)  # False (odd)

import unittest
import importlib
import re

def _dynamic_test(test_case, condition, success_message, failure_message):
    if condition:
        test_case._testMethodName = success_message
        test_case.assertTrue(True, success_message)
    else:
        test_case._testMethodName = failure_message
        test_case.fail(failure_message)

class TestEvenOddCheck(unittest.TestCase):

    def test_num_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'num'),
            "The `num` variable is declared.",
            "Expected `num` variable to be declared."
        )

    def test_result_is_declared(self):
        import user_code
        _dynamic_test(
            self,
            hasattr(user_code, 'result'),
            "The `result` variable is declared.",
            "Expected `result` variable to be declared."
        )

    def test_result_logic_correct(self):
        import user_code
        expected_value = "even" if user_code.num % 2 == 0 else "odd"
        actual_value = user_code.result
        _dynamic_test(
            self,
            actual_value == expected_value,
            f"The `result` variable contains `{expected_value}`.",
            f"Expected `result` to be `{expected_value}`, but got `{actual_value}`."
        )

    def test_if_else_statement_used(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()
        _dynamic_test(
            self,
            re.search(r'if', user_code_source) and re.search(r'else', user_code_source),
            "The `if-else` statement is used.",
            "Expected `if-else` statement to be used."
        )

    def test_modulo_operator_used(self):
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()
        _dynamic_test(
            self,
            re.search(r'%', user_code_source),
            "The `%` operator is used for checking even/odd numbers.",
            "Expected `%` operator to be used for checking even/odd numbers."
        )

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

test_main.py

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

Dive into the basics of Python, explore your workspace, and perform simple math operations. Learn how to write readable code using comments and handle both basic and advanced mathematical expressions while displaying your results.

Learn how to store and manage data in Python by working with numbers, text, and variables. Understand how to assign values, follow naming conventions, and explore different data types. Gain hands-on experience with string operations, indexing, slicing, and memory recall techniques to efficiently manipulate text in Python.

Learn how to use comparison and logical operators, work with conditional expressions, and apply membership and type comparisons. Build a strong foundation in writing programs that respond dynamically to different conditions using if/else and if/elif/else structures.

Expand your understanding of data types by learning how to group multiple attributes within a single variable. Explore lists, tuples, and dictionaries to efficiently store and manage structured data, along with essential methods for manipulation and retrieval.

Master the art of writing loops in Python—essential constructs for iterating over lists, tuples, dictionaries, and other data structures. Learn to use while and for loops effectively, explore the range function, and work with nested loops to handle complex iteration patterns.

Explore essential built-in functions in Python and take the next step by creating your own. Learn how to define functions, use conditional logic, modify existing functions, and work with lambda expressions to write efficient, reusable code.

Challenge: Creating Odd and Even Logic

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