Summary  
This chapter covers how to use Python’s arithmetic operators to perform addition, subtraction, multiplication, and division, how Python follows standard order of operations and how to override it with parentheses, and how to display results using printing.  

General domain of usage  
Numerical computations

Watch this video for a clear demonstration of how to perform basic math operations in Python. You'll see how to use addition, subtraction, multiplication, and division, and learn how Python evaluates expressions following standard math rules. This visual explanation will reinforce the concepts you've practiced so far.

Pythonは数値計算に優れており、基本的な算術演算から複雑な計算まで様々な数学的操作をサポート。

# Addition
print(1039 + 948)

# Subtraction
print(10484 - 9274)

# Multiplication
print(116 * 99)

# Division
print(95873 / 472)

`print()`関数は結果の表示に使用。テキストとは異なり、数式や数値は引用符（`"..."` または `'...'`）で囲む必要なし。

Pythonは計算を行う際、標準的な数学の規則に従います。異なる演算を1つの式で組み合わせたり、括弧を使って計算の順序を制御したりできます。さまざまな式で試してみてください。

import unittest
import importlib
import io
import re
import sys

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 TestUserCode(unittest.TestCase):

    def test_addition_operation_present(self):
        """
        Test to ensure the addition operation `2580 + 198` is present.
        """
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()

        addition_check = re.search(r'2580\s*\+\s*198', user_code_source)

        _dynamic_test(
            self,
            addition_check is not None,
            "The addition operation `2580 + 198` is present.",
            "Expected the addition operation `2580 + 198` to be present."
        )

    def test_multiplication_operation_present(self):
        """
        Test to ensure the multiplication operation `23 * 42` is present.
        """
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()

        multiplication_check = re.search(r'23\s*\*\s*42', user_code_source)

        _dynamic_test(
            self,
            multiplication_check is not None,
            "The multiplication operation `23 * 42` is present.",
            "Expected the multiplication operation `23 * 42` to be present."
        )

    def test_division_operation_present(self):
        """
        Test to ensure the division operation `1512 / 27` is present.
        """
        with open('user_code.py', 'r') as file:
            user_code_source = file.read()

        division_check = re.search(r'1512\s*/\s*27', user_code_source)

        _dynamic_test(
            self,
            division_check is not None,
            "The division operation `1512 / 27` is present.",
            "Expected the division operation `1512 / 27` to be present."
        )

    def test_correct_output_printed(self):
        import user_code
        captured_output = io.StringIO()
        sys.stdout = captured_output
        importlib.reload(user_code)
        sys.stdout = sys.__stdout__

        output = captured_output.getvalue().strip().split("\\n") 

        expected_outputs = ["2778", "966", "56.0"]

        for i, expected in enumerate(expected_outputs):
            _dynamic_test(
                self,
                output[i] == expected,
                f'The correct result `{expected}` is printed for operation {i + 1}.',
                f'Expected `{expected}` to be printed, but got `{output[i]}`.'
            )

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

test_main.py

Pythonは、インタプリタ型の高水準汎用プログラミング言語です。HTML、CSS、JavaScriptが主にウェブ開発に使用されるのに対し、Pythonは多用途であり、ソフトウェア開発、データサイエンス、バックエンド開発など様々な分野で利用できます。本コースでは、Pythonの主要な側面を探求し、最終的には独自の関数を作成できるようになります。

Pythonの基本を学び、作業環境を探索し、簡単な数学演算を実行します。コメントを活用して可読性の高いコードを書く方法や、基本的および高度な数式を扱い、結果を表示する方法を学びます。

Pythonでの簡単な数学演算の実行

解答