PreCourse-1

[anushrihub]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of basic data structures like stacks and linked lists. Here's a detailed evaluation:

1. Exercise_1.py (Stack using list):

   • Correctness: The implementation correctly follows stack operations (push, pop, peek, etc.) using a Python list. The isEmpty() method could be more explicit by checking len(self.stacklist) == 0 instead of relying on truthiness.
   • Time Complexity: Correctly identified as O(1) for all operations except show(), which is O(n) for printing.
   • Space Complexity: Correctly identified as O(n) where n is the number of elements.
   • Code Quality: Well-structured and readable. The comments are helpful but could be more detailed about the approach.
   • Efficiency: No major optimizations needed for this simple implementation.

2. Exercise_2.py (Stack using linked list):

   • Correctness: The implementation correctly follows stack operations using a linked list. The pop() method handles edge cases well (empty stack).
   • Time Complexity: Correctly identified as O(1) for push and pop operations.
   • Space Complexity: Correctly identified as O(n) where n is the number of elements.
   • Code Quality: Good structure and readability. The comments could explain the logic more clearly, especially for the pop() method.
   • Efficiency: No major optimizations needed.

3. Exercise_3.py (Singly linked list):

   • Correctness: The append(), find(), and remove() methods are mostly correct. The remove() method could be simplified by breaking early once the key is found and removed.
   • Time Complexity: Correctly identified as O(n) for append, find, and remove operations.
   • Space Complexity: Correctly identified as O(n) where n is the number of elements.
   • Code Quality: The code is readable but could benefit from more comments explaining the logic, especially for the remove() method. The variable names are clear and descriptive.
   • Efficiency: The remove() method could be optimized by breaking the loop once the key is found and removed.

General Feedback:

• Strengths: The student has a good grasp of basic data structures and their operations. The code is well-structured and mostly follows best practices.
• Areas for Improvement:
  • Comments: While the comments are present, they could be more detailed, especially for complex logic like the remove() method in Exercise_3.py.
  • Edge Cases: The student should consider more edge cases, such as removing the last element in a linked list or handling empty lists/stacks.
  • Code Duplication: In Exercise_3.py, the remove() method could be simplified by breaking early once the key is found.