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@super30admin
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The student's solution demonstrates a good understanding of basic data structures (stack and linked list) and their operations. Here's a detailed evaluation:

  1. Correctness:

    • Exercise_1.py: The stack implementation using a list is correct and handles basic operations well. The isEmpty() check and peek() with None return for empty stack are good practices.
    • Exercise_2.py: The linked list stack implementation is correct, with proper handling of push and pop operations.
    • Exercise_3.py: The singly linked list implementation is correct, with proper append, find, and remove operations.
  2. Time Complexity:

    • Exercise_1.py: All operations are O(1) except show() which is O(n) to return all elements.
    • Exercise_2.py: push() and pop() are O(1) as expected for stack operations.
    • Exercise_3.py: append(), find(), and remove() are O(n) as required for singly linked list operations.
  3. Space Complexity:

    • All implementations have O(n) space complexity where n is the number of elements, which is optimal for these data structures.
  4. Code Quality:

    • The code is generally clean and readable.
    • Could improve with docstrings explaining each method's purpose and parameters.
    • Exercise_3.py could benefit from comments explaining the remove() logic.
    • Consistent indentation and spacing is maintained.
  5. Efficiency:

    • All implementations are efficient for their respective data structures.
    • No major optimizations needed, though edge cases could be better documented.

Areas for improvement:

  • Add docstrings to explain method purposes and parameters.
  • Consider adding more edge case handling comments (e.g., empty stack/list scenarios).
  • The show() method in Exercise_1.py could be renamed to something more descriptive like get_all_elements().

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2 participants