Problem1.py

[sejalrj]

Submitting placeholder answer as I do not remember what the exact question was and I have attended and passed all the 15 mock interviews.

[super30admin]

Strengths:

• The code for the word distance problem is clean and efficient for that problem.
• The student mentions having passed all mock interviews, which shows commitment.

Areas for Improvement:

• It is crucial to ensure that the solution matches the problem statement. Please double-check the problem requirements before writing code.
• For the given stock problem, a recursive approach with memoization or a greedy approach would be more efficient. The greedy approach (capturing every upward movement) is optimal with O(n) time and O(1) space.
• Practice problem identification and make sure to understand the problem fully before starting to code.

Suggested Solution for the Stock Problem:
A simple greedy approach can be used since multiple transactions are allowed. We can capture every positive price difference between consecutive days.
Example code in Python:

class Solution:
    def maxProfit(self, prices: List[int]) -> int:
        profit = 0
        for i in range(1, len(prices)):
            if prices[i] > prices[i-1]:
                profit += prices[i] - prices[i-1]
        return profit