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

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

shipped another small but meaningful open-source fix ScrapeGraphAI A PR I worked on to resolve broken test imports causing pytest collection errors has now been merged and included in the latest release. Not a flashy feature but these are the kinds of issues that quietly break developer workflows. Fixing them makes the ecosystem more reliable for everyone building on top of it. Open source has a way of sharpening your thinking you’re not just solving your problem, you’re solving it properly. On to the next one. #opensource #python #backend #testing #softwareengineering

𝗝𝘂𝘀𝘁 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗽𝗿𝗲𝗽𝗮𝗿𝗮𝘁𝗶𝗼𝗻. Most people do LeetCode like this: Solve random questions Forget patterns Repeat same mistakes 𝗧𝗵𝗮𝘁’𝘀 𝘄𝗵𝘆 𝗽𝗿𝗼𝗴𝗿𝗲𝘀𝘀 𝗶𝘀 𝘀𝗹𝗼𝘄. Because interviews don’t test how many problems you solved. 𝗧𝗵𝗲𝘆 𝘁𝗲𝘀𝘁 𝗵𝗼𝘄 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸. 𝗧𝗵𝗶𝘀 𝗗𝗼𝗰 𝗵𝗲𝗹𝗽𝘀 𝘆𝗼𝘂 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁: Arrays Linked Lists Trees Graphs Heaps Dynamic Programming All in one structured place #LeetCode #DSA #CodingInterview #SoftwareEngineering #Programming #TechCareers

🚀 Day 65 / 100 — LeetCode Challenge 🔥 Problem: Maximum Subarray (Kadane’s Algorithm) Today’s problem looked simple, but it teaches a powerful concept — making optimal decisions at every step. 💡 Key Insight: At each element, we decide: 👉 Start a new subarray 👉 Or extend the existing one This greedy + dynamic programming approach leads to an efficient O(n) solution. 🧠 What I learned: How local decisions can lead to a global optimum Importance of handling negative values smartly Kadane’s Algorithm — a must-know pattern for interviews ⚡ Result: ✅ Accepted ⚡ Runtime: 1 ms (Beats 99.98%) 📌 Takeaway: Sometimes the best solution is not about checking all possibilities, but about making the right choice at each step. #Day65 #LeetCode #100DaysOfCode #Java #CodingJourney #DataStructures #Algorithms #KadaneAlgorithm #ProblemSolving

🚀 Master the Sliding Window Pattern Stop guessing your sliding window logic. I’ve condensed the 7 essential templates into one "Saveable" cheat sheet. What’s covered: ✅ Fixed vs. Variable: When to use if vs. while. ✅ Hashing: Patterns for Anagrams & Strings. ✅ Optimization: Longest vs. Minimum window rules. ✅ The Trap: Why it fails with negative numbers. I am currently preparing for my next interview and will be sharing my recent interview experience soon! Perfect for LeetCode prep or quick revision before an interview. 💡 Follow for more useful tips! #CodingInterview #LeetCode #Algorithms #SoftwareEngineering #Programming #Java

🚀 Rotate Array(Left Rotation) Problem 🧩 Problem: Rotate an array to the left by d steps 👉 Constraint: Do it efficiently ❌ Common Mistake: Using brute force rotation (shifting elements one by one) 👉 Time Complexity = O(n × d) 👉 Result = TLE (Time Limit Exceeded) 🚫 ✅ What I Did Instead: ✔ Reduced unnecessary rotations → d = d % n ✔ Used index mapping logic ✔ Placed elements directly in correct positions 📊 My Solution: ⏱ Time: O(n) 📦 Space: O(n) 🧠 What I Learned Today: ✔ Brute force ≠ bad, but not always acceptable ✔ Constraints decide your approach ✔ Optimization is what separates beginners from engineers #dsa #leetcode #arrays #java #algorithms #coding #programming #softwareengineering #developers #problemSolving #tech #interviewprep #100daysofcode

Have you noticed that the same code can behave differently depending on the input? This is where Best Case, Average Case, and Worst Case Analysis becomes important. In this short video, I explained: - Best case (fastest execution) - Worst case (maximum time) - Average case (typical scenario) - Why worst-case analysis is commonly used Understanding this concept helps you build efficient and reliable algorithms, especially for real-world systems and coding interviews. 👉 Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #SoftwareEngineering #InterviewPreparation #Algorithms

🚀 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

LeetCode — Problem 5 | Day 12 💡 Problem: Longest Palindromic Substring --- 🧠 Problem: Given a string "s", find the longest substring that is a palindrome. --- 🧠 Approach (Expand Around Center): - Treat each character as a center - Handle two cases: • Odd length → (i, i) • Even length → (i, i+1) - Expand outward while characters match - Track the maximum length substring 👉 Key idea: expand from center instead of checking all substrings --- ⏱ Time Complexity: O(n²) 📦 Space Complexity: O(1) --- 🔍 Insight: A palindrome expands symmetrically from its center --- ⚖️ Edge Cases: - Empty string → return "" - Single character → same character - Even length palindrome (e.g., "bb") - Entire string is a palindrome --- 🔑 Key Learning: - Avoid brute force O(n³) - Efficient pattern: Expand Around Center #LeetCode #DSA #Java #Palindrome #CodingJourney