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Getter and setter methods in Python - Practice Problems & Coding Challenges

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Challenge - 5 Problems
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Predict Output
intermediate
2:00remaining
Output of getter method usage
What is the output of this Python code using a getter method?
Python
class Person:
    def __init__(self, name):
        self._name = name
    
    @property
    def name(self):
        return self._name

p = Person("Alice")
print(p.name)
ATypeError
BNone
CAttributeError
DAlice
Attempts:
2 left
💡 Hint
Look at how the @property decorator allows access to the private variable.
Predict Output
intermediate
2:00remaining
Output after setting a value with setter
What will be printed after running this code that uses a setter method?
Python
class Temperature:
    def __init__(self, celsius):
        self._celsius = celsius
    
    @property
    def celsius(self):
        return self._celsius
    
    @celsius.setter
    def celsius(self, value):
        if value < -273.15:
            raise ValueError("Temperature below absolute zero!")
        self._celsius = value

t = Temperature(25)
t.celsius = 30
print(t.celsius)
A30
B25
CValueError
DAttributeError
Attempts:
2 left
💡 Hint
The setter updates the private variable if the value is valid.
Predict Output
advanced
2:00remaining
What error is raised when setting invalid value?
What error does this code raise when trying to set an invalid temperature?
Python
class Temperature:
    def __init__(self, celsius):
        self._celsius = celsius
    
    @property
    def celsius(self):
        return self._celsius
    
    @celsius.setter
    def celsius(self, value):
        if value < -273.15:
            raise ValueError("Temperature below absolute zero!")
        self._celsius = value

t = Temperature(20)
t.celsius = -300
ANo error
BTypeError
CValueError
DAttributeError
Attempts:
2 left
💡 Hint
Check the condition inside the setter method.
🧠 Conceptual
advanced
2:00remaining
Why use getter and setter methods?
Which of these is the main reason to use getter and setter methods in Python classes?
ATo control access and validation when getting or setting an attribute
BTo make code run faster
CTo avoid using classes altogether
DTo automatically print attribute values
Attempts:
2 left
💡 Hint
Think about why you might want to check or change a value before saving it.
Predict Output
expert
2:00remaining
Output of complex getter and setter interaction
What is the output of this code that uses both getter and setter with extra logic?
Python
class BankAccount:
    def __init__(self):
        self._balance = 0
    
    @property
    def balance(self):
        return self._balance
    
    @balance.setter
    def balance(self, amount):
        if amount < 0:
            print("Cannot set negative balance")
        else:
            self._balance = amount

account = BankAccount()
account.balance = 100
print(account.balance)
account.balance = -50
print(account.balance)
A
100
-50
B
100
Cannot set negative balance
100
C
Cannot set negative balance
-50
D
100
100
Attempts:
2 left
💡 Hint
Notice what happens when trying to set a negative balance.

Practice

(1/5)
1. What is the main purpose of getter and setter methods in a Python class?
easy
A. To create new classes dynamically
B. To control access to private attributes safely
C. To execute code asynchronously
D. To delete objects from memory

Solution

  1. Step 1: Understand getter and setter roles

    Getter methods retrieve attribute values, and setter methods update them while controlling access.
  2. Step 2: Identify their purpose in encapsulation

    They protect private data by allowing controlled reading and writing, preventing direct access.
  3. Final Answer:

    To control access to private attributes safely -> Option B
  4. Quick Check:

    Getter/setter = control private data [OK]
Hint: Getters and setters manage private data access [OK]
Common Mistakes:
  • Thinking they create new classes
  • Confusing with asynchronous code
  • Assuming they delete objects
2. Which of the following is the correct syntax to define a setter method for attribute age using the @property decorator in Python?
easy
A. @property.setter\ndef set_age(self, value):\n self._age = value
B. @setter.age\ndef age(self, value):\n self._age = value
C. @age.setter\ndef age(self, value):\n self._age = value
D. @age.setter\ndef set_age(self):\n self._age = value

Solution

  1. Step 1: Recall setter syntax with @property

    The setter uses @attribute.setter decorator and method name matches the attribute.
  2. Step 2: Check method signature

    Setter method takes self and value parameters to set the attribute.
  3. Final Answer:

    @age.setter\ndef age(self, value):\n self._age = value -> Option C
  4. Quick Check:

    Setter uses @age.setter and method age(self, value) [OK]
Hint: Setter uses @attribute.setter and method named attribute [OK]
Common Mistakes:
  • Using wrong decorator like @setter.age
  • Method name not matching attribute
  • Setter missing value parameter
3. What will be the output of the following code?
class Person:
    def __init__(self, name):
        self._name = name

    @property
    def name(self):
        return self._name

    @name.setter
    def name(self, value):
        self._name = value.upper()

p = Person('alice')
p.name = 'bob'
print(p.name)
medium
A. bob
B. Error
C. alice
D. BOB

Solution

  1. Step 1: Understand setter behavior

    Setter converts the assigned value to uppercase before storing it.
  2. Step 2: Trace code execution

    Initially name is 'alice', then set to 'bob' which setter changes to 'BOB'. Printing returns 'BOB'.
  3. Final Answer:

    BOB -> Option D
  4. Quick Check:

    Setter uppercases value, output = BOB [OK]
Hint: Setter modifies value before storing, output reflects change [OK]
Common Mistakes:
  • Expecting original lowercase 'bob'
  • Thinking print shows initial 'alice'
  • Assuming code raises error
4. Identify the error in this code snippet using getter and setter methods:
class Car:
    def __init__(self):
        self._speed = 0

    @property
    def speed(self):
        return self._speed

    @speed.setter
    def speed(self):
        self._speed = 100

c = Car()
c.speed = 50
print(c.speed)
medium
A. Setter method missing value parameter
B. Getter method missing return statement
C. Property decorator used incorrectly
D. No error, code runs fine

Solution

  1. Step 1: Check setter method signature

    Setter must accept two parameters: self and value to set the attribute.
  2. Step 2: Identify missing parameter

    Current setter only has self, missing value parameter, causing error on assignment.
  3. Final Answer:

    Setter method missing value parameter -> Option A
  4. Quick Check:

    Setter needs (self, value) parameters [OK]
Hint: Setter must have value parameter besides self [OK]
Common Mistakes:
  • Omitting value parameter in setter
  • Confusing getter and setter decorators
  • Assuming code runs without error
5. You want to create a class Temperature that stores temperature in Celsius internally but allows getting and setting the temperature in Fahrenheit using getter and setter methods. Which code correctly implements this behavior?
hard
A. class Temperature: def __init__(self, celsius=0): self._celsius = celsius @property def fahrenheit(self): return (self._celsius * 9/5) + 32 @fahrenheit.setter def fahrenheit(self, value): self._celsius = (value - 32) * 5/9
B. class Temperature: def __init__(self, fahrenheit=32): self._fahrenheit = fahrenheit @property def celsius(self): return (self._fahrenheit - 32) * 5/9 @celsius.setter def celsius(self, value): self._fahrenheit = (value * 9/5) + 32
C. class Temperature: def __init__(self, celsius=0): self.celsius = celsius @property def fahrenheit(self): return (self.celsius * 9/5) + 32 @fahrenheit.setter def fahrenheit(self, value): self.celsius = (value - 32) * 5/9
D. class Temperature: def __init__(self, fahrenheit=32): self.fahrenheit = fahrenheit @property def celsius(self): return (self.fahrenheit - 32) * 5/9 @celsius.setter def celsius(self, value): self.fahrenheit = (value * 9/5) + 32

Solution

  1. Step 1: Understand internal storage and interface

    The class stores temperature internally in Celsius (_celsius) but exposes Fahrenheit via getter and setter.
  2. Step 2: Check getter and setter calculations

    Getter converts Celsius to Fahrenheit; setter converts Fahrenheit to Celsius and stores it.
  3. Step 3: Verify correct use of private attribute and decorators

    class Temperature: def __init__(self, celsius=0): self._celsius = celsius @property def fahrenheit(self): return (self._celsius * 9/5) + 32 @fahrenheit.setter def fahrenheit(self, value): self._celsius = (value - 32) * 5/9 uses _celsius internally and @property/@fahrenheit.setter correctly.
  4. Final Answer:

    Option A code correctly implements the behavior -> Option A
  5. Quick Check:

    Internal Celsius, getter/setter convert Fahrenheit [OK]
Hint: Store Celsius internally, convert in getter/setter for Fahrenheit [OK]
Common Mistakes:
  • Storing Fahrenheit internally instead of Celsius
  • Using public attributes without underscore
  • Mixing getter/setter names and attributes