[Edit] Python: unittest-module (#6621)

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* [Edit] Python: unittest-module

* Update content/python/concepts/unittest-module/unittest-module.md

* Update content/python/concepts/unittest-module/unittest-module.md

---------

Author: mamtawardhani

content/python/concepts/unittest-module/unittest-module.md

@@ -1,6 +1,6 @@
 ---
 Title: 'Unittest Module'
-Description: 'The unittest module provides features for unit testing Python code.'
+Description: 'Python’s unittest module is a built-in testing framework that helps developers create, organize, and run unit tests.'
 Subjects:
   - 'Computer Science'
   - 'Data Science'
@@ -17,13 +17,41 @@ CatalogContent:
   - 'paths/computer-science'
 ---
 
-The **`unittest`** [module](https://www.codecademy.com/resources/docs/python/modules) provides features for [unit testing](https://www.codecademy.com/resources/docs/general/unit-testing) Python code. Similar to unit testing frameworks in other languages ,`unittest` allows for the following features:
-
-- Automation of unit tests.
-- Sharing of setup and tear-down code for tests.
-- Aggregation of tests into collections.
-
-## Example
+Python **`unittest`** [module](https://www.codecademy.com/resources/docs/python/modules) is a built-in testing [framework](https://www.codecademy.com/resources/docs/general/framework) that provides a set of tools for testing code's functionality in a more systematic and automated way. It supports creating and running [unit tests](https://www.codecademy.com/resources/docs/general/unit-testing), helping developers catch bugs early and ensure code reliability. Similar to unit testing frameworks in other languages, `unittest` allows for the following features:
+
+- Automation of test execution
+- Setup and teardown functionality for preparing and cleaning up before/after tests
+- Grouping of tests into test suites
+
+## Commonly Used `unittest` Methods
+
+This table lists the most frequently used methods in Python’s `unittest` module. These include assertion methods that check specific conditions in tests, as well as setup and teardown methods that manage test environments:
+
+| **Method**                   | **Description**                                          |
+| ---------------------------- | -------------------------------------------------------- |
+| `assertEqual(a, b)`          | Test passes if `a == b`.                                 |
+| `assertNotEqual(a, b)`       | Test passes if `a != b`.                                 |
+| `assertTrue(x)`              | Test passes if `bool(x) is True`.                        |
+| `assertFalse(x)`             | Test passes if `bool(x) is False`.                       |
+| `assertIs(a, b)`             | Test passes if `a is b` (same object).                   |
+| `assertIsNot(a, b)`          | Test passes if `a is not b`.                             |
+| `assertIsNone(x)`            | Test passes if `x is None`.                              |
+| `assertIsNotNone(x)`         | Test passes if `x is not None`.                          |
+| `assertIn(a, b)`             | Test passes if `a in b`.                                 |
+| `assertNotIn(a, b)`          | Test passes if `a not in b`.                             |
+| `assertIsInstance(a, b)`     | Test passes if `a` is an instance of `b`.                |
+| `assertNotIsInstance(a, b)`  | Test passes if `a` is _not_ an instance of `b`.          |
+| `assertGreater(a, b)`        | Test passes if `a > b`.                                  |
+| `assertGreaterEqual(a, b)`   | Test passes if `a >= b`.                                 |
+| `assertLess(a, b)`           | Test passes if `a < b`.                                  |
+| `assertLessEqual(a, b)`      | Test passes if `a <= b`.                                 |
+| `assertAlmostEqual(a, b)`    | Test passes if `a ≈ b` (to 7 decimal places by default). |
+| `assertNotAlmostEqual(a, b)` | Test passes if `a ≠ b` within tolerance.                 |
+| `assertRaises(Exception)`    | Checks if the specified exception is raised.             |
+| `setUp()`                    | Prepares test environment; runs before each test method. |
+| `tearDown()`                 | Cleans up after each test method is executed.            |
+
+## Example 1: Testing a `Rectangle` Class
 
 The following example begins with code for a `Rectangle` [class](https://www.codecademy.com/resources/docs/python/classes) that needs to be tested:
 
@@ -54,6 +82,8 @@ import unittest
 import rectangle as rect
 
 class RectangleTestCase(unittest.TestCase):
+  def setUp(self):
+    self.rectangle = rect.Rectangle(5, 10)
 
   def test_area(self):
     self.assertEqual(self.rectangle.area(), 50)
@@ -71,25 +101,24 @@ class RectangleTestCase(unittest.TestCase):
     with self.assertRaises(TypeError):
       a = self.rectangle.perimeter()
 
-  def setUp(self):
-    self.rectangle = rect.Rectangle(5 ,10)
-
 if __name__ == '__main__':
   unittest.main()
 ```
 
-First the `unittest.TestCase` class is subclassed for our test case object. Then tests are defined as methods with names starting with `test`. This naming convention is mandatory as it allows the test runner to find the methods that represent tests.
-
-Tests consist of methods containing calls to one or more `assert` methods of the test case object:
+To run the tests, include:
 
-- `.assertEqual()`: Test passes when both arguments are equal.
-- `.assertTrue()` : Test passes when argument is `True`.
-- `.assertFalse()` : Test passes when argument is `False`.
-- `.assertRaises()` : Test passes when the passed exception is raised.
+```py
+if __name__ == '__main__':
+  unittest.main()
+```
 
-The test case can have `.setUp()` and `.tearDown()` methods defined. The `.setUp()` method is for any initialization needed for the test, and will run before each `test` method is carried out. The `.tearDown()` method is run after each `test` method to do any needed cleanup after each test.
+The `unittest.TestCase` class is subclassed to define a test case object. Each test method must start with the word `test` so the test runner can detect and execute it. A breakdown of all the tests will be as follows:
 
-The call to `unittest.main()` runs the tests and provides the test script with a command-line interface.
+- `setup()`: Initializes a `Rectangle` object before each test method runs.
+- `test_area()`: Verifies that the area calculation is correct (`5 * 10 = 50`).
+- `test_area()`: Checks the perimeter (`2 * (5 + 10) = 30`).
+- `test_isSquare()`: Asserts that a rectangle with unequal sides is not a square, and that changing width to equal height makes it a square.
+- `test_error()`: Ensures a `TypeError` is raised when width is set to a non-numeric value.
 
 Running the above produces the following:
 
@@ -100,7 +129,7 @@ $ python test.py
 Ran 4 tests in 0.001s
 ```
 
-The output shows a dot printed for each successful test.
+Each dot (`.`) represents a passing test.
 
 Using the `-v` option on the command line will produce a more verbose test:
 
@@ -117,6 +146,101 @@ Ran 4 tests in 0.001s
 
 The output shows the following:
 
-- The method name for each test.
-- The test case class the method belongs to.
-- A message telling whether or the test was passed.
+- Each test method's name
+- Its test case class
+- A result message indicating whether it passed
+
+## Example 2: Testing a `BankAccount` Class
+
+This example demonstrates how to write unit tests for a basic bank account class, covering deposit, withdrawal, and balance operations.
+
+```py
+# bank_account.py
+
+class BankAccount:
+  def __init__(self, owner, balance=0):
+    self.owner = owner
+    self.balance = balance
+
+  def deposit(self, amount):
+    if amount < 0:
+      raise ValueError("Deposit amount must be positive.")
+    self.balance += amount
+    return self.balance
+
+  def withdraw(self, amount):
+    if amount > self.balance:
+      raise ValueError("Insufficient funds.")
+    self.balance -= amount
+    return self.balance
+
+  def get_balance(self):
+    return self.balance
+```
+
+Writing the unit tests for this:
+
+```py
+# test_bank_account.py
+
+import unittest
+from bank_account import BankAccount
+
+class BankAccountTestCase(unittest.TestCase):
+
+  def setUp(self):
+    self.account = BankAccount("Alice", 100)
+
+  def test_deposit(self):
+    self.assertEqual(self.account.deposit(50), 150)
+
+  def test_withdraw(self):
+    self.assertEqual(self.account.withdraw(30), 70)
+
+  def test_withdraw_insufficient_funds(self):
+    with self.assertRaises(ValueError):
+         self.account.withdraw(200)
+
+  def test_deposit_negative_amount(self):
+    with self.assertRaises(ValueError):
+         self.account.deposit(-20)
+
+  def test_get_balance(self):
+    self.assertEqual(self.account.get_balance(), 100)
+
+if __name__ == '__main__':
+    unittest.main()
+```
+
+In the test cases:
+
+- `setUp()`: Creates an account with `owner='Alice'` and initial balance of `100`.
+- `test_deposit()`: Tests depositing a valid amount (`50`) updates the balance to `150`.
+- `test_withdraw()`: Tests withdrawing `30` correctly reduces the balance to `70`.
+- `test_withdraw_insufficient_funds()`: Ensures withdrawing more than available (`200`) raises a `ValueError`.
+- `test_deposit_negative_amount()`: Ensures depositing a negative amount raises a `ValueError`.
+- `test_get_balance()`: Verifies the balance remains unchanged initially (`100`).
+
+## Best Practices for Using `unittest` Module
+
+- Use `setUp()` for repeated setup code instead of duplicating it in each test.
+- Name test methods clearly to describe what’s being tested.
+- Keep tests isolated—each test should not depend on another.
+- Avoid testing multiple concerns in one test method.
+- Run tests frequently during development, not just before deployment.
+- Use descriptive assertion messages (e.g., `self.assertEqual(a, b, "Area calculation failed")`) for easier debugging.
+
+## Frequently Asked Questions
+
+### 1. Which is better, `pytest` or `unittest`?
+
+`unittest` is built into Python and follows an object-oriented approach. It is ideal for small to medium-sized projects.
+`pytest` is a third-party framework that offers more concise syntax, better error messages, and additional plugins, making it a popular choice for larger projects.
+
+### 2. What does `unittest.main()` do?
+
+`unit test.main()` launches the test runner, which automatically discovers and executes all test methods in the file. It also provides a command-line interface to control test behavior (e.g., verbosity).
+
+### 3. What does `if __name__ == '__main__'` mean in Python?
+
+This statement ensures that the code inside runs only when the script is executed directly, not when it’s imported as a module. It's commonly used to run test scripts or demo code.