We've previously come across float and integer types, so now we can tell whether a value is a float or an integer. Can you guess what the result of the math operation `6/1.5` might be? It's easy to calculate that it equals `4`, but what type does `4` belong to? It might seem like an integer, but it's actually a float. To confirm its type, you can use the `type()` function.

variable = 6/1.5
print(variable)
print(type(variable))

import unittest
from contextlib import redirect_stdout
import io
import importlib


class TestUserCode(unittest.TestCase):
    def test_number1_declared(self):
        self._testMethodName = 'number1 is declared'
        import user_code
        self.assertTrue(hasattr(user_code, 'number1'), "Expected number1 to be defined.")

    def test_number1_is_float(self):
        self._testMethodName = 'number1 is of type float'
        import user_code
        self.assertTrue(hasattr(user_code, 'number1'), "Expected number1 to be defined.")
        self.assertIsInstance(user_code.number1, float, f"Expected number1 to be a float, but got {type(user_code.number1).__name__}.")

    def test_number2_declared(self):
        self._testMethodName = 'number2 is declared'
        import user_code
        self.assertTrue(hasattr(user_code, 'number2'), "Expected number2 to be defined.")

    def test_number2_is_int(self):
        self._testMethodName = 'number2 is of type int'
        import user_code
        self.assertTrue(hasattr(user_code, 'number2'), "Expected number2 to be defined.")
        self.assertIsInstance(user_code.number2, int, f"Expected number2 to be a int, but got {type(user_code.number2).__name__}.")

    def test_type_number1_printed(self):
        self._testMethodName = "The type of number1 is <class 'float'> is printed"
        output = self._runcode_output()
        self.assertIn("number1 is <class 'float'>", output, "Expected the output to contain 'The type of number1 is <class \'float\'>'")

    def test_type_number2_printed(self):
        self._testMethodName = "The type of number2 is <class 'int'> is printed"
        output = self._runcode_output()
        self.assertIn("is <class 'int'>", output, "Expected the output to contain 'The type of number2 is <class \'float\'>'")
    
    def _runcode_output(self):
        import user_code
        f = io.StringIO()
        with redirect_stdout(f):
            importlib.reload(user_code)
        s = f.getvalue().strip()
        return s
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.

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.

Data Types in Python

How to Define a Type

Solution

How to Define a Type

Solution