Copying in Python involves creating duplicates of objects. Understanding the difference between shallow copy and deep copy is crucial when working with mutable data structures like lists, dictionaries, and custom objects.
Time limit: 0
Quiz Summary
0 of 15 Questions completed
Questions:
Information
You have already completed the quiz before. Hence you can not start it again.
import copy a = [[1, 2], [3, 4]] b = copy.copy(a) a[0][0] = 99 print(b[0][0])
Correct
Incorrect
Question 6 of 15
6. Question
How do you import the deepcopy function?
Correct
Incorrect
Question 7 of 15
7. Question
What’s copied in a deep copy?
Correct
Incorrect
Question 8 of 15
8. Question
Which copy method would you use for a nested dictionary?
Correct
Incorrect
Question 9 of 15
9. Question
What happens with this code?
a = [1, [2, 3]] b = a a[1][0] = 99 print(b)
Correct
Incorrect
Question 10 of 15
10. Question
Which scenario requires deep copy?
Correct
Incorrect
Question 11 of 15
11. Question
What does the `id()` function help verify in copy operations?
Correct
Incorrect
Question 12 of 15
12. Question
Which one is **not** a valid shallow copy technique?
Correct
Incorrect
Question 13 of 15
13. Question
What is the output?
import copy a = [1, 2, [3, 4]] b = copy.deepcopy(a) a[2][0] = 100 print(b[2][0])
Correct
Incorrect
Question 14 of 15
14. Question
What is a major downside of using `deepcopy()`?
Correct
Incorrect
Question 15 of 15
15. Question
Which of the following statements is true?
Correct
Incorrect
Summary
This quiz covered key concepts of Python copy operations, including the difference between shallow copy (e.g., `list.copy()`, slicing) and deep copy (`copy.deepcopy()`). Understanding these helps avoid unexpected side effects when working with mutable objects in Python.
At QuizOrbit, our team specializes in fun, informative quizzes across topics like general knowledge, technology, and entertainment. Boost your knowledge with our expert-designed quizzes.
