Why object-oriented programming is used in Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a class named Car.

Python

class [1]:
    pass

Drag options to blanks, or click blank then click option'

ACar

Bcar

Cvehicle

DCarClass

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase names for classes

Using unrelated names

The class name should be Car to define the class correctly.

2fill in blank

medium

Complete the code to add an __init__ method that stores the car's brand.

Python

class Car:
    def __init__(self, brand):
        self.[1] = brand

Drag options to blanks, or click blank then click option'

Acar_brand

Bname

Cbrand

Dbrand_name

Attempts:

3 left

💡 Hint

Common Mistakes

Using different attribute names than parameters

Forgetting self.

The attribute name should be brand to match the parameter and store the car's brand.

3fill in blank

hard

Fix the error in the method to return the car's brand.

Python

class Car:
    def __init__(self, brand):
        self.brand = brand
    def get_brand(self):
        return self.[1]

Drag options to blanks, or click blank then click option'

Abrand_name

Bname

Ccar_brand

Dbrand

Attempts:

3 left

💡 Hint

Common Mistakes

Returning a wrong attribute name

Missing self.

The method should return self.brand to access the stored brand attribute.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps car brands to their lengths.

Python

brands = ['Ford', 'BMW', 'Audi']
lengths = {brand[1]: len(brand) for brand in brands if len(brand) [2] 3}

Drag options to blanks, or click blank then click option'

A.upper()

B>

C<

D.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong comparison operators

Not applying string methods correctly

The first blank uses .upper() to convert brand names to uppercase keys. The second blank uses > to filter brands longer than 3 letters.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase brand names to their lengths if length is greater than 3.

Python

brands = ['Ford', 'BMW', 'Audi']
lengths = {{ [1]: [2] for brand in brands if len(brand) [3] 3 }}

Drag options to blanks, or click blank then click option'

Abrand.upper()

Blen(brand)

C>

Dbrand.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up keys and values

Wrong comparison operator

The dictionary keys are uppercase brand names (brand.upper()), values are their lengths (len(brand)), and the condition filters brands longer than 3 (>).

Practice

1. Why do programmers use object-oriented programming (OOP)?

easy

A. To avoid using any functions or variables

B. To group related data and actions into objects

C. To make programs run faster by skipping steps

D. To write code only once without any changes

Solution

1. Step 1: Understand the purpose of OOP

   OOP is designed to group related data and actions together as objects, making code easier to manage.

2. Step 2: Compare options with OOP goals

   Only To group related data and actions into objects correctly describes grouping data and actions. Other options misunderstand OOP's purpose.

3. Final Answer:

   To group related data and actions into objects -> Option B

4. Quick Check:

   OOP groups data and actions = D [OK]

Hint: OOP bundles data and actions together [OK]

Common Mistakes:

• Thinking OOP just makes code faster
• Believing OOP avoids functions completely
• Assuming OOP means no code changes

2. Which of the following is the correct way to define a simple class in Python?

easy

A. class Car:
def __init__(self, color):
self.color = color

B. def Car:
color = 'red'

C. class Car():
color = 'red'
def __init__(self):
pass

D. class Car:
def __start__(self):
print('Start')

Solution

1. Step 1: Check class syntax

   class Car: def __init__(self, color): self.color = color correctly defines a class with an __init__ method and assigns an instance variable.

2. Step 2: Identify syntax errors in other options

   def Car: color = 'red' uses def instead of class. class Car(): color = 'red' def __init__(self): pass lacks proper __init__ usage for color. class Car: def __start__(self): print('Start') uses __start__ which is not a special method.

3. Final Answer:

   class Car:\n def __init__(self, color):\n self.color = color -> Option A

4. Quick Check:

   Correct class with __init__ = B [OK]

Hint: Class needs __init__ method for attributes [OK]

Common Mistakes:

• Using def instead of class to define a class
• Missing self parameter in methods
• Using wrong special method names

3. What will be the output of this code?

class Dog:
    def __init__(self, name):
        self.name = name
    def speak(self):
        return self.name + ' says Woof!'

my_dog = Dog('Buddy')
print(my_dog.speak())

medium

A. Buddy

B. Woof! says Buddy

C. Buddy says Woof!

D. Error: speak() missing self argument

Solution

1. Step 1: Understand class and method behavior

   The Dog class stores a name and the speak method returns the name plus ' says Woof!'.

2. Step 2: Trace the code execution

   Creating my_dog with name 'Buddy' and calling speak() returns 'Buddy says Woof!'.

3. Final Answer:

   Buddy says Woof! -> Option C

4. Quick Check:

   Method returns name + ' says Woof!' = A [OK]

Hint: Method returns name plus message string [OK]

Common Mistakes:

• Mixing order of words in output
• Forgetting to pass self in method
• Expecting error due to method call

4. Find the error in this class definition:

class Person:
    def __init__(self, name):
        name = name
    def greet(self):
        print('Hello, ' + self.name)

medium

A. The class is missing a constructor method

B. The greet method should return a string, not print

C. The class name should be lowercase

D. The __init__ method does not assign name to self.name

Solution

1. Step 1: Check __init__ method variable assignment

   The __init__ method assigns name to a local variable 'name', not to self.name, so the instance has no name attribute.

2. Step 2: Understand impact on greet method

   greet tries to access self.name which does not exist, causing an error.

3. Final Answer:

   The __init__ method does not assign name to self.name -> Option D

4. Quick Check:

   Missing self.name assignment = C [OK]

Hint: Assign to self.name inside __init__ [OK]

Common Mistakes:

• Assigning to local variable instead of self attribute
• Thinking print vs return causes error here
• Believing class name case matters for error

5. You want to model a library system where each book has a title and author, and you want to reuse code for different types of books. Which OOP feature helps you do this efficiently?

hard

A. Inheritance to create specialized book classes

B. Using only global variables for all books

C. Writing separate functions for each book type

D. Avoiding classes and using plain text files

Solution

1. Step 1: Understand the need for code reuse and specialization

   Different types of books share common features but may have unique details.

2. Step 2: Identify OOP feature for reuse and extension

   Inheritance allows creating new classes based on existing ones, reusing code and adding specifics.

3. Final Answer:

   Inheritance to create specialized book classes -> Option A

4. Quick Check:

   Reuse and extend code = Inheritance = A [OK]

Hint: Use inheritance to reuse and extend code [OK]

Common Mistakes:

• Thinking global variables help organize objects
• Believing separate functions are better than classes
• Avoiding classes loses OOP benefits