Complete Precourse 1

[Srijha09]

No description provided.

[super30admin]

The student's solution demonstrates a good understanding of data structures and their implementations. 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 before pop() is a good practice.
• Exercise_2.py: The linked list implementation of stack is correct, with proper handling of push/pop operations and size tracking.
• Exercise_3.py: The singly linked list implementation is correct, with proper append, find, and remove operations.

2. Time Complexity:

• The student has correctly identified time complexities for all operations in each implementation.
• One minor note: In Exercise_3.py, the display() method's complexity is correctly O(n), but it might be worth mentioning that building the Python list also takes O(n) space.

3. Space Complexity:

• Space complexity analysis is accurate for all implementations.
• The student correctly identifies that the space complexity is O(n) where n is the number of elements.

4. Code Quality:

• Code is well-structured and readable with proper docstrings.
• Good use of Python naming conventions.
• In Exercise_3.py, the ListNode class has an unused next parameter in init which could be removed.
• The display() method in Exercise_3.py could be renamed to to_list() or similar to better reflect its functionality.

5. Efficiency:

• All implementations are efficient for their respective data structures.
• One potential improvement: In Exercise_3.py, the remove() method could return a boolean to indicate whether the removal was successful or not.

Edge Cases:

• All implementations handle empty cases well.
• The linked list implementations properly handle operations when the list is empty.
• One edge case not explicitly tested is operations on an empty stack in Exercise_2.py (peek on empty stack).