Python’s array module offers an efficient way to store and manipulate fixed-type numerical data. This quiz helps you test your knowledge of array creation, operations, types, and performance benefits over lists.
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Which module is used for creating arrays in Python with fixed data types?
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Question 2 of 15
2. Question
What is the correct way to create an integer array?
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Question 3 of 15
3. Question
Which of these is a valid typecode for float values?
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Question 4 of 15
4. Question
What will be the output?
from array import array a = array(‘i’, [1, 2, 3]) print(a[1])
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Question 5 of 15
5. Question
Can array elements be changed after creation?
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Question 6 of 15
6. Question
Which of the following will raise an error?
from array import array a = array(‘i’, [1, 2, ‘3’])
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Question 7 of 15
7. Question
What does the `typecode` attribute return?
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Question 8 of 15
8. Question
What does `a.buffer_info()` return?
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Question 9 of 15
9. Question
What method appends a value to the end of an array?
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Question 10 of 15
10. Question
How do you remove the last item from a Python array?
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Question 11 of 15
11. Question
Can Python array store different types of data?
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Question 12 of 15
12. Question
What is the advantage of using `array` over list?
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Question 13 of 15
13. Question
What is the output of:
from array import array a = array(‘u’, ‘abc’) print(a[1])
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Question 14 of 15
14. Question
Which method inserts a value at a specific position in an array?
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Question 15 of 15
15. Question
Which is NOT a valid method in Python’s array module?
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Summary
The Python `array` module allows you to store numeric data efficiently using fixed data types. Ideal for performance-critical applications, arrays consume less memory than lists and support fast element access and mutation.
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