#Leetcode 26

Combination Sum - Recursive Backtracking - Leetcode 39 Crack big tech at algomap.io! #coding #leetcode #programming #interview

This is your sign 🥹💖 In my previous post about Leetcode, someone told me about Neetcode, so I watched it and found it super useful ! You can watch Neetcode on YouTube, he even solve leetcode problems daily on his secondary channel! I also did some research by myself and got resources to learn DSA, and shared with you how I use them <3 Hope these will help in your coding journey, and don’t forget to not use AI to get the solutions too early 😭 <tags> [coding, programmation, computer science, informatique, student, computer science student, coding project, leetcode, neetcode, coding roadmap, coding resources] #codingtips #leetcode #computersciencestudent #studentsuccess #studytips #womenintech #codingisfun #codingchallenge #codinggirl #studentlife

Fibonacci series , LEETCODE , best explanation and trick #dsa #algorithms #coding

One line of code… and BOOM! 🚀 Time complexity crushed! 💻🔥 #CodeHack #LeetCodeTips

LeetCode Daily – Day 36: Trapping Rain Water (Part 2) In Part 1, we saw what the question is saying and also understood when water gets trapped and the formula behind it: 👉 water[i] = min(leftMax, rightMax) - height[i] Now let’s actually solve it using two approaches 👇 ✅ Approach 1: Brute Force For every index i, we check: 🔹 leftMax: Maximum height from 0 to i 🔹 rightMax: Maximum height from i to n-1 Then apply: water[i] = min(leftMax, rightMax) - height[i] Time Complexity: O(n²) – Because for each index, we run two loops to find leftMax and rightMax. ✅ Approach 2: Using Prefix Arrays (Optimized to O(n)) To avoid recalculating leftMax and rightMax every time, we precompute them using two arrays: 1️⃣ leftMax[]: We fill this from left to right, storing the tallest bar seen so far. 2️⃣ rightMax[]: We fill this from right to left, storing the tallest bar seen from the right. Now we calculate trapped water at each index using: 👉 min(leftMax[i], rightMax[i]) - height[i] 🔁 Do this for all indices and add it up to get the total trapped water. Time Complexity is O(n). This is way better than brute-force but here we are using extra space. In Part 3, we’ll go even deeper and solve this with the Two Pointer approach, no extra space needed. Save this reel for quick revision and share it with your friends who are learning DSA. Follow @codingwithyash for more such DSA concepts. #dsa #java #leetcode #datastructure #javaprogramming #logicbuilding #codingwithyash #algorithms #leetcodesolution #interviewprep

Leetcode is so 2020. This is the future 😎 #07 #tech #coding #computer #college #founder #highschool #internship #job #student #finance #law

These 70 questions cover all the DSA topics in leetcode 🚀🔥 Follow and join our telegram channel for more updates. #coding #programming #codingtips #computerscience #python #leetcode #dsa #intership #interviewprep #developer

Leetcode 1004 – Max Consecutive Ones III 🔥 Brute Force vs Sliding Window 🧠 First, we try the extreme brute way 😵 (O(n²)) Then, flip the script with the optimal sliding window (O(n)) 🚀 From struggling to solving — all in one reel. 👨‍💻 Follow @codewithswastikk for more DSA 🔄 Dev content! #Leetcode #DSA #Leetcode1004 #SlidingWindow #CodeWithSwastik #BruteForceToOptimal #DSAIn60Seconds #TechReels #CodingReels #DeveloperLife #trending #viral

How many Leetcode problems should you solve before you’re “ready” to switch to MNC’S like Walmart, Atlassian, Uber or Microsoft? Honestly, I’ve seen engineers stuck in this loop ➿ → 200 problems done. → Still not confident. → Do 100 more. → Still not ready. I’ve been there too. But here’s what I learned after working at a top product-based company ⬇️ → It’s not about solving more problems. It’s about seeing how DSA patterns connect to real systems. Let me explain 👇 🔷 Queues & Heaps power job scheduling systems, notification priorities, and message queues. 🔷 Tries & Trees form the backbone of folder hierarchies, autocomplete, and routing logic. 🔷 Graphs enable social connections, shortest path calculations, and delivery networks. 🔷 Sliding Window & Two Pointers are behind stream analytics, fraud detection, and real-time insights. 🔷 Hashing & Sets help with deduplication, fast lookups, caching, and user validation. Once I started thinking in systems, not just solutions, everything changed, both in interviews and at work. If you’re a working SDE prepping for a switch to their dream PBC, I highly recommend learning DSA the way it shows up in real-world systems. #SoftwareEngineer #TechJourney #viral #CodingLife #GoogleIntern #CSFundamentals #FullStackDeveloper #CodingContests #TechInterviews #DSA #Roadmap #CareerRoadmap #WomenInTech #CareerTips #gargee

Dsa series episode 1 (Arrays)

Comment “DSA” to get Notes Directly into your DMs #nikhil #nikhilnetha #fypppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppppp #coding #1