Lakhveer Singh Rajput Blog's: 🌟 Insights on Tech, Coding, and Personal Growth 🚀💡

  🔥 Cracking the Code: Top 10 Toughest Array Problems in Tech Interviews! 🔥 Arrays are the bread and butter of coding interviews — but some problems can make even seasoned coders sweat! 💦 In this ultimate guide, we’ll break down the 10 most challenging and frequently asked array problems , complete with optimized solutions using smart algorithms and data structures. Ready to level up your interview game? Let’s go! 🚀 1️⃣ Sliding Window Maximum (Maximum of All Subarrays of Size K) ❓ Problem Statement: Find the maximum in every contiguous subarray of size k . Example: Input: [1, 3, -1, -3, 5, 3, 6, 7], k = 3 Output: [3, 3, 5, 5, 6, 7] 💡 Optimized Approach: Deque (O(n)) from collections import deque def maxSlidingWindow(nums, k): dq = deque() res = [] for i, num in enumerate(nums): while dq and nums[d q[-1] ] < num: dq.pop() dq.append(i) if d q[0] == i - k: dq.popleft() if i >= k - 1 : ...