Geeting Feedback for all problems of PreCourse-2

[param07]

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[super30admin]

Overall, the student has demonstrated a strong understanding of fundamental algorithms and data structures. Here's a detailed evaluation for each exercise:

Exercise_1.py (Binary Search):

• Correctness: The implementation correctly follows binary search logic with proper boundary checks.
• Time Complexity: Correctly identified as O(log n).
• Space Complexity: Correctly identified as O(1).
• Code Quality: Good, but the mid calculation could be simplified to (l + r) // 2 instead of the current complex formula.
• Edge Cases: Handles edge cases well (empty array, out of bounds indices, values outside range).

Exercise_2.py (QuickSort Recursive):

• Correctness: Correct implementation of quicksort with proper partitioning.
• Time Complexity: Correct analysis of best/average/worst cases.
• Space Complexity: Correctly identified recursive stack space.
• Code Quality: Well-structured and readable. The partition implementation is standard.
• Suggestion: Could mention the Lomuto partition scheme being used.

Exercise_3.py (Linked List Middle):

• Correctness: Correct implementation using fast/slow pointer approach.
• Time Complexity: Correctly identified as O(n/2).
• Space Complexity: Correct analysis.
• Code Quality: Clean and well-organized. Good handling of edge cases.
• Note: Returns first middle for even-length lists as specified.

Exercise_4.py (MergeSort):

• Correctness: Correct implementation of merge sort.
• Time Complexity: Correct analysis.
• Space Complexity: Correctly identified auxiliary space usage.
• Code Quality: Well-structured with clear merge routine. Could consider making merge a separate function.
• Efficiency: Temporary array creation is standard for merge sort.

Exercise_5.py (QuickSort Iterative):

• Correctness: Correct conversion from recursive to iterative using stack.
• Time Complexity: Same analysis as recursive version, correctly identified.
• Space Complexity: Correctly noted stack usage.
• Code Quality: Good conversion to iterative approach. Clear stack usage.
• Suggestion: Could add comments explaining the stack operations.

General Strengths:

• Excellent time/space complexity analysis
• Good handling of edge cases
• Clean, readable code structure
• Thorough test cases

Areas for Improvement:

• Some mid calculations could be simplified
• Could add more comments in complex sections
• Could mention specific partition schemes used
• Could separate merge routine into its own function in merge sort