solutions for Exercises 1-5

[Bhuvankurra]

No description provided.

[super30admin]

Let's evaluate each exercise one by one:

Exercise_1.py (Binary Search):

• Correctness: The implementation correctly follows the binary search algorithm.
• Time Complexity: O(log n), which is optimal for binary search.
• Space Complexity: O(1), as it uses constant space.
• Code Quality: The code is clean and well-structured. Good use of comments.
• Improvement: Could add input validation to handle cases where the array isn't sorted.

Exercise_2.py (QuickSort Recursive):

• Correctness: Correct implementation of QuickSort with proper partitioning.
• Time Complexity: O(n log n) average case, O(n^2) worst case.
• Space Complexity: O(log n) due to recursion stack.
• Code Quality: Well-structured with clear partitioning logic.
• Improvement: Could add comments explaining the partitioning strategy.

Exercise_3.py (Linked List Middle Element):

• Correctness: Correct implementation using fast and slow pointers.
• Time Complexity: O(n), optimal for this problem.
• Space Complexity: O(1), using constant space.
• Code Quality: Good class structure and clear method implementation.
• Improvement: Could add error handling for empty list case (though it's already handled).

Exercise_4.py (MergeSort):

• Correctness: Correct implementation of MergeSort algorithm.
• Time Complexity: O(n log n) in all cases.
• Space Complexity: O(n) due to auxiliary arrays.
• Code Quality: Well-structured with clear merging logic.
• Improvement: Could optimize space usage by creating temporary arrays once.

Exercise_5.py (QuickSort Iterative):

• Correctness: Correct iterative implementation of QuickSort.
• Time Complexity: O(n log n) average case, O(n^2) worst case.
• Space Complexity: O(log n) due to explicit stack usage.
• Code Quality: Good conversion from recursive to iterative approach.
• Improvement: Could add comments explaining the stack usage.

General Strengths:

• All implementations follow standard algorithms correctly.
• Good code organization and structure.
• Appropriate use of data structures and algorithms.

Areas for Improvement:

• Could benefit from more detailed comments explaining the algorithms.
• Some edge case handling could be strengthened (e.g., empty inputs).
• Consistent formatting (some files have extra whitespace).