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Poridhi: Stacks & Queues

 


Stacks & Queues related problems:

This collection of solutions tackles three classic problems often encountered in technical interviews and competitive programming. The Valid Parentheses problem checks whether a string has properly matched and ordered brackets using a stack. The Sliding Window Maximum efficiently finds the maximum value in every window of size k across an array using a deque, a popular sliding window pattern that ensures optimal performance. The Stock Span Problem simulates a real-world stock analysis scenario and calculates the number of consecutive days before today for which the stock price was less than or equal to today's, also utilizing a stack for efficient computation. These problems test understanding of stacks, queues, and sliding window techniques.

✅ Valid Parentheses

def isValid(s: str) -> bool: stack = [] mapping = {')': '(', '}': '{', ']': '['} for char in s: if char in mapping: top = stack.pop() if stack else '#' if mapping[char] != top: return False else: stack.append(char) return not stack

✅ Sliding Window Maximum (Striver’s Sheet)

from collections import deque def maxSlidingWindow(nums, k): dq = deque() result = [] for i in range(len(nums)): # Remove indices out of the current window while dq and dq[0] <= i - k: dq.popleft() # Remove smaller values at the end of deque while dq and nums[dq[-1]] < nums[i]: dq.pop() dq.append(i) # Start adding max from the kth window if i >= k - 1: result.append(nums[dq[0]]) return result

✅ Stock Span Problem (using Stack)

def calculateSpan(prices): stack = [] span = [0] * len(prices) for i in range(len(prices)): # Remove smaller or equal price indices while stack and prices[stack[-1]] <= prices[i]: stack.pop() span[i] = i + 1 if not stack else i - stack[-1] stack.append(i) return span

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