Why multiple inheritance exists in Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a class that inherits from two parent classes.

Python

class Child([1]):
    pass

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AParent1, Parent2

BParent1

CParent2

DChild

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to separate parent classes with commas.

Using only one parent class name when multiple are needed.

Multiple inheritance allows a class to inherit from more than one parent class by listing them separated by commas inside the parentheses.

2fill in blank

medium

Complete the code to call the constructor of both parent classes inside the child class.

Python

class Child(Parent1, Parent2):
    def __init__(self):
        [1]

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Asuper().__init__()

BParent1.__init__(self)

CParent1.__init__(self) Parent2.__init__(self)

DParent2.__init__(self)

Attempts:

3 left

💡 Hint

Common Mistakes

Calling only one parent's __init__ method.

Using super() which may not call all parent constructors in multiple inheritance.

When using multiple inheritance, you often need to call each parent class's constructor explicitly to initialize them properly.

3fill in blank

hard

Fix the error in the method resolution order by completing the code to call super() correctly in multiple inheritance.

Python

class Parent1:
    def greet(self):
        print('Hello from Parent1')

class Parent2:
    def greet(self):
        print('Hello from Parent2')

class Child(Parent1, Parent2):
    def greet(self):
        [1]
        print('Hello from Child')

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Asuper().greet()

BParent1.greet(self)

CParent2.greet(self)

Dgreet()

Attempts:

3 left

💡 Hint

Common Mistakes

Calling a specific parent method directly, which can break the method resolution order.

Not calling any parent method at all.

Using super() in multiple inheritance respects the method resolution order and calls the next method in line properly.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths only if the length is greater than 3.

Python

words = ['tree', 'cat', 'house', 'dog']
lengths = {word: [1] for word in words if [2]

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Alen(word)

Blen(word) > 3

Cword > 3

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length.

Comparing the word string directly to a number.

The dictionary comprehension maps each word to its length using len(word), and includes only words whose length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase keys to values only if the value is positive.

Python

data = {'a': 1, 'b': -2, 'c': 3}
result = { [1]: [2] for k, v in data.items() if v [3] 0}

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Ak.upper()

Bv

C>

Dk

Attempts:

3 left

💡 Hint

Common Mistakes

Using original keys without converting to uppercase.

Using incorrect comparison operators.

Including negative or zero values.

The comprehension creates a new dictionary with keys converted to uppercase and includes only items where the value is greater than zero.