Minimum Deletions to Make String Balanced LeetCode Solution

𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 — 𝗦𝘁𝗲𝗽-𝗯𝘆-𝗦𝘁𝗲𝗽 𝗖𝗼𝗱𝗶𝗻𝗴 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 𝗘𝘅𝗽𝗹𝗮𝗻𝗮𝘁𝗶𝗼𝗻𝘀 Master problem-solving and crack coding interviews with clear, step-by-step LeetCode solutions. From beginner-friendly problems to advanced algorithmic challenges, each solution focuses on logic building, optimized approaches, and clean code explanations. Improve your Data Structures and Algorithms skills, understand time and space complexity, and learn patterns used by top tech companies in real interviews. #LeetCode #DSA #CodingInterview #ProblemSolving #Algorithms #DataStructures #Programming #SoftwareEngineering #TechInterview #DeveloperLife

𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 – 𝗠𝗮𝘀𝘁𝗲𝗿 𝗖𝗼𝗱𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 𝘄𝗶𝘁𝗵 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 Boost your problem-solving skills with essential LeetCode questions every developer should practice. This guide covers popular coding problems from arrays, strings, linked lists, stacks, queues, trees, graphs, recursion, and dynamic programming. Perfect for developers preparing for technical interviews at top tech companies. Improve your logic, coding speed, and confidence by practicing real interview-level problems with structured learning. #LeetCode #CodingInterview #DSA #ProblemSolving #SoftwareEngineering #ProgrammingPractice #TechInterviews #Developers #Algorithms #DataStructures #InterviewPreparation #CodeWithGandhi

2 years in the industry taught me one thing: The “basics” aren’t actually basic. 💻 Most tutorials teach you how to write code. They rarely teach you how to write code that survives production… or passes a serious PR review. So starting today, I’m launching a new daily series: The 2-Year Perspective: Engineering Beyond the Tutorial My goal is simple: To break down the concepts I use every day as a Software Engineer — through the lens of real-world experience. No textbook fluff. No theory without context. Just the logic, architecture, trade-offs, and clean code standards that actually matter in a professional sprint. Here’s what I’ll be sharing: → The Full Stack Starting with Python fundamentals — then expanding into databases, APIs, CI/CD, system design, and the practical decisions behind them. → The “Senior” Why Why we choose certain patterns. Why we avoid others. Why “it works” is never the finish line. → Production Standards How to evolve from “it runs locally” to “it’s maintainable, scalable, and review-ready.” Who is this for? If you’re breaking into tech: This is your bridge from learning syntax to thinking like an engineer. If you’re already in the field: Let’s exchange perspectives. There’s always a cleaner abstraction, a sharper design decision, a better workflow. The fastest way to deepen your understanding is to articulate it. Day 1 drops today. Let’s raise the bar for what we call “Clean Code.” 🚀 #SoftwareEngineering #Python #CleanCode #ProgrammingTips #TechCommunity #Mentorship #WebDevelopment #CareerGrowth #SystemDesign

🚀 #LeetcodePotd | One line of Logic | Bit Manipulation (0 ms | 100% Runtime) Binary Number with Alternating Bits Problem: Given a positive integer, verify whether its binary representation alternates (101010... — no two adjacent bits same). Example 5 → 101 → true 🧠 Intuition Journey Naive Brain (Loop Check) Compare every adjacent bit: 101010 ^ ^ ^ ^ Shift → compare → repeat → O(log n) Works. But honestly… this is software engineer energy, not algorithmic ninja energy. Hacker Brain (Bit Trick) Observe pattern: If bits alternate → n ^ (n >> 1) produces all 1s Example: n = 101010 n>>1 = 010101 XOR = 111111 Now we only need to verify if a number is of form 111111... Classic property: x & (x + 1) == 0 Because: 111111 + 1 ------ 1000000 AND => 0 Boom. No loop. No branches. Pure math. 📊 Complexity ApproachTimeSpaceLoop checkO(log n)O(1)Bit trickO(1)O(1)🏆 Result ✔ Accepted: 204/204 ⚡ Runtime: 0 ms (100%) 🧠 Memory: Top 12% 🧩 Takeaway Most bit problems aren’t about coding — they’re about pattern recognition. When binary looks messy… 👉 XOR it 👉 Compress it 👉 Convert logic → math #DSA #LeetCode #BitManipulation #Algorithms #Java #CodingInterview #ProblemSolving #CompetitiveProgramming #TechCareers #SoftwareEngineering #100DaysOfCode#LeetCode #DSA #DataStructures #Algorithms #BitManipulation #Binary #Coding #Programming #Java #SoftwareEngineering #CompetitiveProgramming #TechInterview #CodingInterview #ProblemSolving #ComputerScience #Developers #Programmers #CodeNewbie #250DaysOfCode #CodeLife #TechCareers #EngineeringLife #InterviewPrep #AlgorithmDesign #BigTech #FAANG #ProductBasedCompany #CampusPlacement #TechJourney #LearningInPublic #CodeDaily #JavaDeveloper #CSStudent #PlacementPreparation #SystemDesignJourney #DataStructuresAndAlgorithms #InterviewPreparation #CleanCode #CodingChallenge #DailyCoding #ProblemSolver

Motivation will not make you a software engineer. Systems, stubbornness, and knowing exactly how to survive the "tutorial hell" phase will. I see a lot of beginners jump into Python expecting a smooth ride. But somewhere around month three, or right in the middle of a broken project, the urge to just walk away hits hard. It happens to almost everyone. I just dropped a completely fluff-free video breaking down how to actually push through those roadblocks. No dramatic motivational speeches, just 3 practical systems to keep you coding when every instinct says stop. If you’re staring at an error message right now and questioning everything, this is for you. Check the link in the comments for the full video, and let me know; what's the longest you've ever spent looking for a simple typo? #coding #softwareengineer #tech

Most beginner developers focus on learning new frameworks. Senior engineers focus on something else: Debugging. Because in real production systems, most of your time isn't spent writing new code. It's spent figuring out why something broke. A slow API. A failing deployment. A strange edge case no one expected. The developers who grow fastest aren't the ones who know the most tools. They're the ones who can: • read logs • trace bugs • understand systems Frameworks change every few years. But debugging skills last an entire career. Curious — what's your go-to debugging method? Logs? Breakpoints? Print statements? 😄 #SoftwareEngineering #Python #Debugging #BackendDevelopment #DeveloperLife

Dynamic Programming sounds intimidating until it clicks💡 It’s not about writing complex code; it’s about thinking smarter, breaking problems into overlapping subproblems, and saving work you’ve already done. If you’ve ever solved the same thing twice and thought, “There has to be a better way”, that’s where Dynamic Programming shines. From optimizing algorithms to cracking interview questions, it’s a mindset every developer should master🧑💻 This piece simplifies DP with clear intuition, real examples, and practical takeaways, no unnecessary jargon, no shortcuts. Just solid fundamentals that actually stick👩🦰 If you’re serious about leveling up your problem-solving skills, this is a must-read🚀 #DynamicProgramming #DataStructures #Algorithms #ProblemSolving #CodingInterview #SoftwareEngineering #tutortacademy

Python doesn’t make you a leader. It makes you operational. And being useful is not the same as being responsible for impact. I’ve seen brilliant engineers build flawless models… while the real engineering problem remained untouched. Code solves tasks. Leadership owns consequences. If you’ve never lived the technical pain, you’ll optimize symptoms — not systems. Are you building solutions… or truly owning the problem? #EngineeringLeadership #ProductThinking #DataStrategy

Over the past few years, I’ve had the chance to work with software engineers of many different skill levels. One thing that, to me, seems universal is this deep curiosity that leads us to ask, “how does this actually work?” I’ve been thinking about this a lot lately and I have come to realize that this curiosity is more fundamental than it seems. At its core, programming is just reading, writing and transforming data. Over time, we discover patterns for doing this and abstract them into tools, libraries and languages. As those abstractions stack, we become increasingly removed from what’s happening underneath. But every time an abstraction leaks, breaks or needs to be rebuilt, or when our curiosity wins and we dig deeper, we catch a glimpse of this truth again. Even if we haven’t always had the words for it. #softwareengineering #programming #abstraction #learninginpublic

Stop chasing every new programming language. Every few months, a new framework trends. A new syntax appears. A new “must-learn” stack dominates timelines. Many developers respond by jumping again, switching focus before mastering what they already started. This creates familiarity without competence. Depth beats novelty. A developer who deeply understands one language, its memory model, performance characteristics, ecosystem, architectural patterns, and tooling, can solve complex problems efficiently. That same developer can transition to new technologies faster because the fundamentals are solid. Companies do not hire engineers for the number of languages listed on a résumé. They hire for problem-solving ability, system thinking, and the capacity to deliver reliable solutions. Five shallow languages do not equal one mastered stack. Instead of asking, “What new language should I learn?” Ask, “Have I fully understood the one I already use?” Mastery compounds. Novelty distracts. #codinghq #tech #tip