PreCourse-1 Submission

[tanyasreenagesh]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of basic data structures and their implementations. Here's a detailed evaluation:

1. Correctness:

• Exercise_1.py: The stack implementation using a list is mostly correct, but the pop() operation is inefficient due to using remove() which has O(n) time complexity. The standard approach would be to simply use list.pop() which is O(1).
• Exercise_2.py: The linked list implementation of stack is correct and efficient, with proper handling of edge cases.
• Exercise_3.py: The singly linked list implementation is correct with proper append, find, and remove operations.

2. Time Complexity:

• Exercise_1.py: The pop() operation is incorrectly stated as O(n) due to shifting elements, but it's actually O(n) because of the remove() operation. This should be optimized.
• Exercise_2.py: Correctly analyzed as O(1) for push and pop.
• Exercise_3.py: Correctly analyzed as O(n) for append, find, and remove.

3. Space Complexity:

• All implementations correctly state O(n) space complexity.

4. Code Quality:

• The code is generally well-structured and readable.
• Good use of comments and docstrings.
• Consistent naming conventions.
• The debugging/test code is helpful for verification.

5. Efficiency:

• Exercise_1.py could be optimized by using list.pop() instead of remove().
• Exercise_3.py could benefit from maintaining a tail pointer to make append operations O(1).
• Consider adding more edge case testing (empty lists, removing non-existent elements, etc.).

Areas for improvement:

• In Exercise_1.py, the pop() implementation should be revised for better efficiency.
• The count variable in Exercise_1.py is redundant since len(self.items) can be used.
• Consider adding more comprehensive test cases.
• Some docstrings could be more detailed about return values and edge cases.