You might be accustomed to specifying numbers in ways such as:  
- `1,000,000` (with commas);  
- `1 000 000` (with spaces).
  
However, Python will not understand this. 😢 

These formats are understandable for a person but not for a computer, so the right way is `1000000` without commas or spaces.

```python
var = 1000000
```

If you want to use separators for better readability, Python allows the following syntax:
```python
var = 1_000_000
```

import unittest
import importlib

class TestUserCode(unittest.TestCase):

    def setUp(self):
        # Import the user's code as a module
        self.module = importlib.import_module('user_code')

    def test_q1_budget_is_declared(self):
        """Check if `q1_budget` variable is declared"""
        self.assertTrue(hasattr(self.module, 'q1_budget'), 
                        "Expected `q1_budget` variable to be declared.")

    def test_q2_budget_is_declared(self):
        """Check if `q2_budget` variable is declared"""
        self.assertTrue(hasattr(self.module, 'q2_budget'), 
                        "Expected `q2_budget` variable to be declared.")

    def test_q1_budget_is_integer(self):
        """Check if `q1_budget` is an integer"""
        self.assertIsInstance(self.module.q1_budget, int, 
                              "Expected `q1_budget` to be an integer.")

    def test_q2_budget_is_integer(self):
        """Check if `q2_budget` is an integer"""
        self.assertIsInstance(self.module.q2_budget, int, 
                              "Expected `q2_budget` to be an integer.")

    def test_q1_budget_correct_value(self):
        """Check if `q1_budget` has the correct value"""
        self.assertEqual(self.module.q1_budget, 750000, 
                         "Expected `q1_budget` to be `750000`.")

    def test_q2_budget_correct_value(self):
        """Check if `q2_budget` has the correct value"""
        self.assertEqual(self.module.q2_budget, 1_200_500, 
                         "Expected `q2_budget` to be `1_200_500`.")

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.

Numerical data types are fundamental in Python, forming the backbone of many computational tasks. In this section, you'll dive into the essentials of working with integers and floating-point numbers, performing basic mathematical operations, and understanding the real-world applications of numerical data. You'll also explore critical concepts such as immutability and gain hands-on experience with Python’s built-in functions and tools for handling numbers effectively.

The main goal of this section is to clarify the boolean data types; it's a sub type of numeric data, but indeed it is more challenging. Since it is always better to excel in the more difficult topics, this section is a valuable part of your curriculum.

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.

Mastering Integer Numbers in Python

Ratkaisu

Mastering Integer Numbers in Python

Ratkaisu