Welcome to the Python Particular Strategies MCQs! Particular strategies, also called “magic” or “dunder” strategies, are prefixed and suffixed with double underscores in Python. These strategies present performance to courses that allow them to emulate built-in varieties or operations. These questions will check your understanding of varied particular strategies in Python, together with strategies for object illustration, arithmetic operations, comparability, and extra. Every query is multiple-choice, with just one appropriate reply. Take your time to rigorously learn every query and select the best choice. Let’s discover the world of Python particular strategies collectively!
30+ MCQs on Python Particular Strategies
Q1. What do double underscore (__) prefixed strategies in Python signify?
a) They’re reserved for inner use and shouldn’t be known as immediately.
b) They’re particular strategies often known as “dunder” strategies.
c) They’re known as magic strategies and deal with particular operations.
d) The entire above
Reply: d
Rationalization: Double underscore (__) prefixed strategies are particular strategies in Python often known as “dunder” strategies or magic strategies. They’re reserved for inner use and deal with particular operations.
Q2. What’s the function of the __init__ methodology in a Python class?
a) To initialize the category object with default attributes.
b) To create a brand new occasion of the category.
c) To outline the constructor of the category.
d) To destroy the category object.
Reply: c
Rationalization: The __init__ methodology is the constructor in Python courses. It’s used to initialize the thing’s attributes when a brand new occasion of the category is created.
Q3. Which dunder methodology is used to implement the habits of the + operator in Python?
a) __add__
b) __plus__
c) __sum__
d) __concat__
Reply: a
Rationalization: The __add__ methodology is used to outline the habits of the + operator in Python courses.
This fall. Which of the next strategies is used to signify an object as a string in Python?
a) __repr__
b) __str__
c) __display__
d) __format__
Reply: b
Rationalization: The __str__ methodology is used to outline how an object needs to be represented as a string when utilizing str(object) or print(object).
Q5. What does the __len__ methodology do in Python?
a) It returns the size of the thing.
b) It defines the habits of the size operator (len()).
c) It checks if an object is empty.
d) It returns the variety of parts within the object.
Reply: a
Rationalization: The __len__ methodology is used to outline the habits of the size operator (len()) for customized objects, returning the size of the thing.
Q6. Which dunder methodology is used to implement the habits of the * operator in Python?
a) __mult__
b) __mul__
c) __product__
d) __times__
Reply: b
Rationalization: The __mul__ methodology is used to outline the habits of the * operator in Python courses.
Q7. What’s the function of the __getitem__ methodology in Python?
a) It’s used to get the worth of an merchandise from a dictionary.
b) It’s used to outline the habits for accessing gadgets utilizing sq. brackets ([]).
c) It’s used to retrieve an merchandise from an inventory.
d) It’s used to get the merchandise at a particular index in a sequence.
Reply: b
Rationalization: The __getitem__ methodology is used to outline the habits for accessing gadgets utilizing sq. brackets ([]) for customized objects.
Q8. Which dunder methodology is used to implement the habits of the in operator in Python?
a) __exists__
b) __contains__
c) __includes__
d) __in__
Reply: b
Rationalization: The __contains__ methodology is used to outline the habits of the in operator in Python courses.
Q9. What’s the function of the __setattr__ methodology in Python?
a) It’s used to set the worth of an attribute.
b) It’s used to outline the habits of attribute task.
c) It’s used to verify if an attribute exists.
d) It’s used to delete an attribute.
Reply: b
Rationalization: The __setattr__ methodology is used to outline the habits when an attribute is about in a Python class.
Q10. Which dunder methodology is used to implement the habits of the - operator in Python?
a) __sub__
b) __minus__
c) __subtract__
d) __difference__
Reply: a
Rationalization: The __sub__ methodology is used to outline the habits of the - operator in Python courses.
Q11. What does the __iter__ methodology do in Python?
a) It returns an iterator object for the category.
b) It checks if an object is iterable.
c) It defines the habits of the for loop for the category.
d) It returns the subsequent merchandise within the iteration.
Reply: a
Rationalization: The __iter__ methodology is used to return an iterator object for the category, permitting it for use in a for loop.
Q12. Which dunder methodology is used to implement the habits of the // operator in Python?
a) __floor_div__
b) __floordiv__
c) __divide__
d) __intdiv__
Reply: b
Rationalization: The __floordiv__ methodology is used to outline the habits of the // operator in Python courses.
Q13. What’s the function of the __contains__ methodology in Python?
a) It checks if a component is contained in an object.
b) It checks if an object incorporates one other object.
c) It checks if an attribute is contained in a category.
d) It checks if a component is contained in a sequence.
Reply: d
Rationalization: The __contains__ methodology is used to outline the habits of the in operator for customized objects, checking if a component is contained in a sequence.
Q14. Which dunder methodology is used to implement the habits of the == operator in Python?
a) __equal__
b) __eq__
c) __equals__
d) __is__
Reply: b
Rationalization: The __eq__ methodology is used to outline the habits of the == operator in Python courses.
Q15. What does the __add__ methodology do in Python?
a) It provides two objects collectively.
b) It concatenates two objects.
c) It performs element-wise addition for 2 objects.
d) It performs matrix multiplication for 2 objects.
Reply: a
Rationalization: The __add__ methodology is used to outline the habits of the + operator for customized objects, permitting them to be added collectively.
Q16. Which dunder methodology is used to implement the habits of the [] operator for setting values in Python?
a) __setitem__
b) __set__
c) __assign__
d) __update__
Reply: a
Rationalization: The __setitem__ methodology is used to outline the habits of the [] operator for setting values in Python courses.
Q17. What’s the function of the __delattr__ methodology in Python?
a) It’s used to delete an attribute from an object.
b) It’s used to outline the habits when an attribute is deleted.
c) It’s used to verify if an attribute may be deleted.
d) It’s used to return the worth of a deleted attribute.
Reply: a
Rationalization: The __delattr__ methodology is used to outline the habits when an attribute is deleted from a Python object.
Q18. What does the __next__ methodology do in Python?
a) It returns the subsequent aspect in an iteration.
b) It checks if there are extra parts in an iteration.
c) It defines the habits of the subsequent() operate.
d) It raises a StopIteration exception.
Reply: a
Rationalization: The __next__ methodology is used to outline the habits of retrieving the subsequent aspect in an iteration.
Q19. Which dunder methodology is used to implement the habits of the ** operator in Python?
a) __exp__
b) __pow__
c) __power__
d) __exponent__
Reply: b
Rationalization: The __pow__ methodology is used to outline the habits of the ** operator for exponentiation in Python courses.
Q24. Which dunder methodology is used to implement the habits of the != operator in Python?
a) __not_equal__
b) __ne__
c) __noteq__
d) __not_equals__
Reply: b
Rationalization: The __ne__ methodology is used to outline the habits of the != operator in Python courses.
Q25. What’s the function of the __call__ methodology in Python?
a) It calls one other methodology within the class.
b) It defines the habits of calling an occasion of the category as a operate.
c) It checks if the thing is callable.
d) It returns the thing’s sort.
Reply: b
Rationalization: The __call__ methodology is used to outline the habits of calling an occasion of the category as if it had been a operate.
Q26. Which dunder methodology is used to implement the habits of the -= operator in Python?
a) __decr__
b) __minus_equal__
c) __isub__
d) __sub_assign__
Reply: c
Rationalization: The __isub__ methodology is used to outline the habits of the -= operator in Python courses.
Q27. Which dunder methodology is used to implement the habits of the += operator in Python?
a) __increase__
b) __add_assign__
c) __iadd__
d) __plus_equal__
Reply: c
Rationalization: The __iadd__ methodology is used to outline the habits of the += operator in Python courses.
Q28. Which dunder methodology is used to implement the habits of the > operator in Python?
a) __gt__
b) __greater__
c) __greater_than__
d) __isgreater__
Reply: a
Rationalization: The __gt__ methodology is used to outline the habits of the > operator in Python courses.
Q29. Which dunder methodology is used to implement the habits of the <= operator in Python?
a) __le__
b) __less__
c) __lessthan__
d) __islessthan__
Reply: a
Rationalization: The __le__ methodology is used to outline the habits of the <= operator in Python courses.
Q30. Which dunder methodology is used to implement the habits of the >= operator in Python?
a) __ge__
b) __greater__
c) __greaterthan__
d) __isgreater__
Reply: a
Rationalization: The __ge__ methodology is used to outline the habits of the >= operator in Python courses.
Q31. Which dunder methodology is used to implement the habits of the < operator in Python?
a) __lt__
b) __lesser__
c) __lessthan__
d) __islessthan__
Reply: a
Rationalization: The __lt__ methodology is used to outline the habits of the < operator in Python courses.
Q32. Which particular methodology is used to overload the addition operator + in Python?
class MyClass:
def __init__(self, worth):
self.worth = worth
def __add__(self, different):
return MyClass(self.worth + different.worth)
def __str__(self):
return f"MyClass object with worth: {self.worth}"
obj1 = MyClass(5)
obj2 = MyClass(10)
outcome = obj1 + obj2
print(outcome)
a) __add__
b) __plus__
c) __sum__
d) __concat__
Reply: a
Rationalization: The __add__ methodology overloads the addition operator + in Python courses.
Q33. Which particular methodology is used to overload the division operator / in Python for division?
class Fraction:
def __init__(self, numerator, denominator):
self.numerator = numerator
self.denominator = denominator
def __truediv__(self, different):
return Fraction(self.numerator * different.denominator, self.denominator * different.numerator)
def __str__(self):
return f"{self.numerator}/{self.denominator}"
f1 = Fraction(1, 2)
f2 = Fraction(3, 4)
outcome = f1 / f2
print(outcome)
a) __divide__
b) __truediv__
c) __fraction__
d) __div__
Reply: b
Rationalization: The __truediv__ methodology overloads the division operator / in Python courses.
Q34. Which particular methodology is used to overload the lower than operator < in Python?
class Level:
def __init__(self, x, y):
self.x = x
self.y = y
def __lt__(self, different):
return self.x < different.x and self.y < different.y
def __str__(self):
return f"Level({self.x}, {self.y})"
point1 = Level(5, 10)
point2 = Level(8, 12)
outcome = point1 < point2
print(outcome)
a) __less__
b) __lt__
c) __lessthan__
d) __islessthan__
Reply: b
Rationalization: The __lt__ methodology overloads the lower than operator < in Python courses.
Congratulations on finishing the Python Particular Strategies MCQs! Particular strategies in Python present a strong approach to customise the habits of objects and courses, making them extra versatile and expressive. By mastering these particular strategies, you acquire the flexibility to outline how objects work together with operators, implement customized representations, deal with comparisons, and extra. Preserve training and experimenting with Python’s particular strategies to grow to be proficient in constructing versatile and highly effective Python courses. You probably have any questions or need to delve deeper into any subject, don’t hesitate to proceed your studying journey. Comfortable coding!
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