Completed Precourse 2

[RitikaC1]

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[super30admin]

Exercise_1.py (Binary Search):

• Correctness: The implementation is correct. Standard iterative binary search with proper boundary handling.
• Time Complexity: O(log N) - correct.
• Space Complexity: O(1) - correct.
• Code Quality: Clean, readable implementation. Minor improvement: could use f-strings instead of % formatting for modern Python.
• Edge Cases: Handles all cases properly including element not found.

Exercise_2.py (QuickSort):

• Correctness: Correct partition-based quicksort implementation.
• Time Complexity: O(N log N) average case - correct.
• Space Complexity: O(log N) for recursion stack - correct.
• Code Quality: Good implementation. The comment about space complexity for partition is incorrect (O(1), not O(N)). The print statement uses older syntax.
• Edge Cases: Works correctly for various inputs.

Exercise_3.py (Linked List Middle):

• Correctness: Correct two-pointer approach (slow and fast pointers).
• Time Complexity: O(N) - correct.
• Space Complexity: O(1) - correct.
• Code Quality: Well-structured with clear class separation. Good use of pointer technique.
• Edge Cases: Handles empty list implicitly (would work if head is None).

Exercise_4.py (Merge Sort):

• Correctness: Correct top-down merge sort implementation.
• Time Complexity: O(N log N) - correct.
• Space Complexity: O(N) - correct.
• Code Quality: Clean implementation. Could add base case check for clarity.
• Edge Cases: Works correctly.

Exercise_5.py (Iterative QuickSort):

• Correctness: Correct iterative quicksort using explicit stack.
• Time Complexity: O(N log N) - correct.
• Space Complexity: O(N) - correct.
• Code Quality: Good implementation. The stack management is clear and correct.
• Edge Cases: Works correctly.

Overall Assessment:

• All 5 exercises demonstrate solid understanding of fundamental algorithms
• Time and space complexity analysis is mostly accurate
• Code is readable and well-commented
• Minor issues: outdated print syntax, some comments could be more precise