Min Distance Between Three Equal Elements in Array

Most developers start solving array problems using brute force (O(n²)). But there’s a smarter approach — Sliding Window. - It reduces complexity to O(n) - Reuses previous computations - Widely used in subarray & substring problems Key idea: - Instead of recalculating everything, just update the window by removing one element and adding another. - This small optimization can make a huge difference in interviews. - Are you using Sliding Window in your solutions? #DSA #Java #CodingInterview #SoftwareDevelopment #Algorithms #Programming #Developers #TechLearning

🚀 Code 6 – #50LeetCodeChallenge 🧩 Problem: Search Insert Position Given a sorted array of distinct integers and a target value, return its index if found. If not, return the position where it should be inserted to maintain sorted order. 💡 Approach: Use Binary Search to efficiently locate the target or its correct insertion position in O(log n) time. 📚 Key Takeaway: Binary search is the go-to technique for problems involving sorted arrays, especially when optimal time complexity is required. #LeetCode #Java #Coding #ProblemSolving #BinarySearch #Arrays #Programming

🚀 Day 561 of #750DaysOfCode 🚀 📌 Problem: Minimum Distance to the Target Element Today’s problem was simple yet a great reminder of how powerful basic iteration can be when applied correctly. 🔍 The task was to find the minimum distance between a given start index and any index i such that nums[i] == target. 💡 Key Insight: Instead of overthinking, just iterate through the array and track the minimum value of |i - start| whenever the target is found. Clean, efficient, and effective. 🧠 What I Learned: Sometimes brute force with clarity is the best solution Always look for opportunities to minimize operations with simple logic Writing clean and readable code matters as much as solving the problem ⚡ Approach: Traverse the array Check for target Update minimum distance ⏱️ Complexity: Time: O(n) Space: O(1) 💻 Consistency is key. Small steps every day build strong problem-solving skills over time. #leetcode #dsa #programming #java #coding #developers #softwareengineering #100daysofcode #codingjourney #tech #learning #growth

🚀 Second Largest Element Problem Sometimes the simplest problems teach the most important lessons 💡 🧩 Problem: Find the second largest element in an array 👉 If it doesn’t exist, return -1 ⚡ My Approach: Instead of sorting (which costs more time ⏳), I used: ✔ First pass → Find the largest element ✔ Second pass → Find the second largest (≠ largest) 📊 Complexity: ⏱ Time: O(n) 📦 Space: O(1) 🧠 Key Learnings: ✔ Avoid unnecessary sorting 🚫 ✔ Think in terms of optimization first ✔ Edge cases matter (e.g., [10,10,10]) 🔥 Result: ✅ 1120 / 1120 Test Cases Passed 🎯 100% Accuracy #leetcode #dsa #java #arrays #algorithms #coding #programming #developers #softwareengineering #problemSolving #tech #codingjourney #100daysofcode

🚀 Day 23 of #50DaysOfCode Solved Daily Temperatures (LeetCode 739) 🌡️ Today’s focus was on mastering the Monotonic Stack concept — one of the most powerful patterns in DSA. Learned how to efficiently find the next greater element by storing indices and resolving them smartly instead of brute force. 💡 Key Learnings: • Stack helps reduce time complexity from O(n²) → O(n) • Always think in terms of “pending answers” • Monotonic stacks are 🔥 for interview questions ✅ Status: Accepted ✔️ ⏱️ Optimized approach implemented Every day getting better at problem-solving and consistency 💪 #DSA #LeetCode #Java #CodingJourney #Consistency #100DaysOfCode #Programming

Most developers rely on nested loops to solve array problems. But there’s a much more efficient approach the Two Pointer Technique. - Reduces time complexity to O(n) - Works best with sorted arrays - Useful for problems like Two Sum, removing duplicates, and more Instead of checking every pair, you move two pointers intelligently based on conditions. This small optimization can significantly improve your problem-solving skills in coding interviews. Are you using Two Pointer Technique in your solutions? #DSA #Java #CodingInterview #Algorithms #SoftwareDevelopment #Programming #Developers

🚨 This mistake is slowing down your APIs I was calling APIs one by one (wrong way) I didn’t think much about it But response time was getting worse ⏳ Users had to wait longer… and it felt slow 😓 Then I learned about async programming And everything changed ⚡ 👉 Sync calls wait for each request to finish 👉 Async runs multiple requests together 🚀 👉 Perfect for IO tasks like APIs, DB calls Example: Sync ⛔ Request → wait → next request Async ✅ Multiple requests → run together Result: Faster response + better performance + scalable apps Lesson: If your app is waiting on external calls, don’t run everything sequentially. Use async. It can drastically improve speed. Are you using async or still working with sync calls? 🤔 #Python #Async #APIs #BackendDevelopment #Coding #Programming #Developers #TechLearning #Performance #100DaysOfCode

Compiled languages explained simply in under 1 minute 👨💻 From source code → compiler → machine code → executable file. C, C++, Rust, Go… this is how they actually run behind the scenes. #compiledlanguages #compiler #compilation #machinecode #executablefile #binarycode #sourcecode #programminglanguages #lowlevelprogramming #systemsprogramming #softwareengineering #computerarchitecture #howcomputerswork #programming #coding #learnprogramming #computerscience #developer #tech #softwaredev #codinglife #techtok #codingtok #learnontiktok #fyp #foryou #foryoupage

🚀 Code 3 – #50LeetCodeChallenge Problem: 4Sum Given an array of integers and a target value, find all unique quadruplets that sum up to the target. Each element must be used only once, and the solution set should not contain duplicate combinations. 💡 Approach: Sort the array and use nested loops along with a two-pointer technique to find combinations efficiently. Skip duplicate elements to ensure only unique quadruplets are included. 📚 Key Takeaway: Combining sorting with the two-pointer approach helps reduce complexity and is highly effective for solving multi-sum problems like 4Sum. #LeetCode #Java #Coding #ProblemSolving #Arrays #TwoPointers #Programming

How do you solve problems where you need to try every possible combination? This is where Backtracking comes in. In this short video, I explained: - What is backtracking - How it works (try → explore → undo) - Real-world examples like N-Queens and Sudoku - Importance of pruning Backtracking is a powerful approach for solving complex constraint-based problems. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #Algorithms #InterviewPreparation