Recursion in Python allows a function to call itself to solve a smaller instance of the problem. It’s widely used in divide-and-conquer algorithms like factorial, Fibonacci, and tree traversals.
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What is essential for a recursive function to avoid infinite calls?
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Question 3 of 15
3. Question
What will happen if a recursive function has no base case?
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Question 4 of 15
4. Question
What is the output of this recursive function?
def recur(n): if n == 0: return 1 return n * recur(n-1) print(recur(3))
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Question 5 of 15
5. Question
What is the default recursion limit in Python?
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Question 6 of 15
6. Question
Which module allows changing the recursion limit?
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Question 7 of 15
7. Question
What does the following return?
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Question 8 of 15
8. Question
Which of the following problems is best solved using recursion?
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Question 9 of 15
9. Question
What does this recursive function do?
def mystery(n): if n == 0: return mystery(n-1) print(n)
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Question 10 of 15
10. Question
What is a base case?
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Question 11 of 15
11. Question
How does tail recursion differ from standard recursion?
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Question 12 of 15
12. Question
What’s the drawback of using recursion for Fibonacci without memoization?
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Question 13 of 15
13. Question
Which function is used to handle recursion optimization in Python?
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Question 14 of 15
14. Question
Is it possible to write any recursive function as an iterative one?
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Question 15 of 15
15. Question
What’s the key advantage of recursion?
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Summary
This quiz covered **Python recursive function basics**, including structure, base cases, real-world use cases, Fibonacci series, tail recursion, and memoization. Understanding recursion is crucial for solving divide-and-conquer and tree-based problems in Python programming.
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