Python list comprehensions offer a concise way to create lists using loops and conditions in a single line. This quiz helps you master list comprehension syntax, nested comprehensions, and filtering for efficient Python programming.
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What is the equivalent of this list comprehension?
squares = [x*x for x in range(4)]
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Question 3 of 15
3. Question
What will this return?
[x for x in range(10) if x % 2 == 0]
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Question 4 of 15
4. Question
Which is the correct syntax for list comprehension?
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Question 5 of 15
5. Question
What will this produce?
[char.upper() for char in “data”]
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Question 6 of 15
6. Question
Which comprehension returns a list of squares for numbers divisible by 3 in range(10)?
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Question 7 of 15
7. Question
How do you flatten a 2D list using list comprehension?
matrix = [[1, 2], [3, 4]]
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Question 8 of 15
8. Question
What will be the output?
[True if x > 0 else False for x in [-1, 0, 1]]
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Question 9 of 15
9. Question
What is the output of this code?
[x*y for x in [1, 2] for y in [10, 20]]
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Question 10 of 15
10. Question
Which list comprehension returns the string lengths?
words = [“Python”, “is”, “fun”]
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Question 11 of 15
11. Question
Which list comprehension filters numbers greater than 5?
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Question 12 of 15
12. Question
What happens when you use list comprehension with range(0)?
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Question 13 of 15
13. Question
What is the result of this comprehension?
[x+1 for x in [0, 1, 2]]
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Question 14 of 15
14. Question
List comprehension is generally:
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Question 15 of 15
15. Question
Which of the following is not a benefit of list comprehension?
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Summary
List comprehensions in Python let you build lists faster, cleaner, and with less code. This quiz tested your understanding of syntax, filtering, conditionals, and nested comprehensions — all critical for writing modern Pythonic code.
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