Choosing between C++ and Java for DSA: My Experience

When I first started learning Java, I thought it was just another programming language. But soon, I realized it’s more than syntax — it’s about problem-solving, logic, and structured thinking. That’s what led me to dive deep into Data Structures & Algorithms (DSA). Every problem I solve teaches me something new — not just about code, but about how to think. Here’s what I’m building along the way: 💡 Analytical thinking — breaking complex problems into smaller, solvable steps. 🧠 Consistency — solving even one problem a day compounds over time. 💬 Communication — learning to explain logic clearly is as important as writing the code. ⚙️ Resilience — debugging teaches patience better than anything else. I may not be a coding expert yet — but I’m becoming 1% better every day. Because success isn’t a leap; it’s a series of small, intentional steps. 🌟 Goal: Master DSA in Java and build scalable real-world projects that make an impact. 💬 How are you investing in your skills today for tomorrow’s success? #Java #DSA #LearningJourney #CodingMindset #CareerGrowth #Consistency #StudentDeveloper #ProblemSolving #InvertisCreators #InvertisLinkedInSummit

I'm excited to share my next major project: a comprehensive "ONE SHOT" video series covering the first two units of Principles of Programming Languages (PPL). This series was a deep dive into what makes programming languages work. It required not just technical knowledge of C++ and Java, but also skills in: Comparative Analysis: Breaking down the differences in data types, memory management, and program structure between languages. Technical Communication: Explaining abstract concepts like programming paradigms, syntax vs. semantics, and binding. Project Management: Planning and producing a multi-video series from start to finish. The series covers all the core concepts of PPL Units 1 & 2: Unit 1: Fundamentals: Machine architecture, language design, and syntax vs. semantics. Unit 2: Structuring Data: Primitive, Derived (arrays, pointers), and User-Defined (structs, unions) Data Types. Unit 2: Program Structure: Control flow, expressions, subprograms, and paradigms (OOP, Functional, Procedural). I'm proud of this series and hope it helps other students. You can watch the full playlist here: https://lnkd.in/g-Un9SFJ #PrinciplesOfProgrammingLanguages #PPL #ComputerScience #Java #CPP #SoftwareDevelopment #ProjectManagement #TechnicalCommunication #EngineeringStudent

🚀 Leveling Up with LeetCode — 3 Problems, 3 Learnings 💡 Over the past few days, I’ve been sharpening my DSA skills through some interesting problems on LeetCode. Each one gave me a new perspective on problem-solving and pattern recognition. Here’s a quick breakdown 👇 🔹 1️⃣ Max Consecutive Ones Concept: Counting consecutive 1s using a simple loop. Learning: How to maintain running counts and track maximum streaks efficiently. 🧠 Key idea: Reset count to 0 when a 0 appears, and use Math.max() to update the longest streak. 🔹 2️⃣ Next Greater Element I Concept: For every element in nums1, find the next greater element in nums2. Learning: Nested traversal helps understand how comparisons and indexing work. 🧠 Key idea: Break loops efficiently once the next greater element is found. 🔹 3️⃣ Array Partition Concept: Pair up integers to maximize the sum of minimums. Learning: Sorting plays a crucial role in greedy problems. 🧠 Key idea: After sorting, take every alternate element (since it’ll always be the smaller one in each pair). 💻 Languages/Concepts Used: Java, Arrays, Sorting, Loops, Greedy approach. 📈 Complexity: Most solutions optimized to O(N log N) or better. I’m continuously improving my DSA understanding and consistency on LeetCode — each problem adds a new layer to my logical thinking and confidence. 👉 You can check out my profile here: 🔗 https://lnkd.in/gFH_4R9a #LeetCode #Java #DSA #CodingJourney #ProblemSolving #LearningEveryday #Programming #AmanSingh

💡 𝗢𝗻𝗲 𝗟𝗶𝗻𝗲. 𝗕𝗶𝗴 𝗟𝗲𝘀𝘀𝗼𝗻. While solving the “𝗦𝘂𝗯𝗮𝗿𝗿𝗮𝘆 𝗦𝘂𝗺 𝗘𝗾𝘂𝗮𝗹𝘀 𝗞” problem, I stumbled upon a single line that completely changed my understanding of prefix sums and edge cases: 𝗺𝗮𝗽.𝗽𝘂𝘁(𝟬, 𝟭); At first, I didn’t think much of it. Then it hit me — this one line ensures we count subarrays starting right from index 0. 𝗪𝗵𝘆 𝗶𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: When the running sum equals k, we need sum - k == 0 to exist in the map. Without this initialization, those early subarrays are never counted — a tiny detail that makes the entire logic correct. 💡 𝗪𝗵𝗮𝘁 𝗜 𝗟𝗲𝗮𝗿𝗻𝗲𝗱: ✅ Edge cases aren’t “just” edge cases — they define correctness. ✅ Defensive coding is part of strong problem-solving. ✅ Understanding why each line exists > just writing code. Still a student, still learning — but small discoveries like this remind me how much depth hides in just a few lines of code. Problem link: https://lnkd.in/g4TZqJRM Have you ever had an “𝗮𝗵𝗮!” moment from a single line that changed your whole approach? Drop it below 👇 #CodingJourney #Java #ProblemSolving #DSA #TechInterviews #LearningInPublic #CompetitiveProgramming #StudentLife

Lessons learned as a Software Engineer over the years Be flexible. There's this popular term "Programming language wars". It refers to ongoing debates about which programming language is the best. My advice: don't bother your head. I have used different programming languages in my career so far, from Visual Basic.NET to Java to C# to JavaScript to Typescript. Who knows, Go or Rust or Python would be more suitable for future projects I would contribute to. So learn about programming paradigms, Object Oriented Programming (OOP) and Functional Programming (FP) for starters. Understand them. Learn about design patterns in OOP. Know how to apply SOLID principles in OOP. For FP, Pure Functions, Immutability etc. The first interview I had, there were no questions about any programming language I used. I was asked to talk about design patterns. I had lectures about them at the university, but didn't take them seriously. I failed that interview. I was so angry after the interview, I bought Head First Design Patterns by Eric Freeman, Elisabeth Robson, Kathy Sierra, and Bert Bates and consumed it, itching for my next interview to show my next interviewer a lesson. 😄 So be flexible. Solve problems with code. Your future customers want solutions, no wars. hashtag #softwareengineering hashtag #programminglanguages hashtag #oop hashtag #fp hashtag #designpatterns hashtag #TechCareer hashtag #Innovation hashtag #Technology hashtag #agile hashtag #CodingJourney #uptechceo

🚀 Day 3 of my 30-Day Coding Challenge with Educative.io Today’s problem looked simple but had some fun twists. The task: given a binary string, find the number of steps to reduce it to 1 by repeatedly 1)dividing by 2 if even 2)adding 1 if odd. At first, I tried converting the binary to a number and then looping. Lesson learned — in JavaScript, large binary strings (length > 53 bits) overflow the Number limit. My approach worked for small inputs but failed for long ones. After debugging, I discovered a smarter pattern: 1)Work directly on the binary string from right to left. 2)Use a carry variable to simulate “add 1” operations. 3)Count operations based on whether the current bit + carry is odd or even. This avoids conversion and runs in O(n) time for strings up to 500 characters! Here’s what I took away from this challenge: Always think about data type limits (JS Number ≠ unlimited integer). Sometimes the best solution is bit-level simulation instead of numeric math. Debugging is just as valuable as solving. #JavaScript #CodingChallenge #Educative #LearningInPublic #DSA #ProblemSolving #SoftwareEngineering

Lessons learned as a Software Engineer over the years Be flexible. There's this popular term "Programming language wars". It refers to ongoing debates about which programming language is the best. My advice: don't bother your head. I have used different programming languages in my career so far, from Visual Basic.NET to Java to C# to JavaScript to Typescript. Who knows, Go or Rust or Python would be more suitable for future projects I would contribute to. So learn about programming paradigms, Object Oriented Programming (OOP) and Functional Programming (FP) for starters. Understand them. Learn about design patterns in OOP. Know how to apply SOLID principles in OOP. For FP, Pure Functions, Immutability etc. The first interview I had, there were no questions about any programming language I used. I was asked to talk about design patterns. I had lectures about them at the university, but didn't take them seriously. I failed that interview. I was so angry after the interview, I bought Head First Design Patterns by Eric Freeman, Elisabeth Robson, Kathy Sierra, and Bert Bates and consumed it, itching for my next interview to show my next interviewer a lesson. 😄 So be flexible. Solve problems with code. Your future customers want solutions, no wars. #softwareengineering #programminglanguages #oop #fp #designpatterns #TechCareer #Innovation #Technology #agile #CodingJourney

𝗧𝗵𝗲 𝗺𝗼𝘀𝘁 𝘂𝗻𝗱𝗲𝗿𝗿𝗮𝘁𝗲𝗱 𝘀𝗸𝗶𝗹𝗹 𝗲𝘃𝗲𝗿𝘆 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘀𝗵𝗼𝘂𝗹𝗱 𝗺𝗮𝘀𝘁𝗲𝗿 When I started coding, I thought becoming a great developer meant learning as many languages as possible. Java, Python, JS, C++, Go — the list kept growing. But over time I realized something important: 𝗜𝘁’𝘀 𝗻𝗼𝘁 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿 𝗼𝗳 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄. 𝗜𝘁’𝘀 𝗵𝗼𝘄 𝘄𝗲𝗹𝗹 𝘆𝗼𝘂 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀. The best developers I’ve met aren’t the ones who know 10 stacks… They’re the ones who: 🔹 Break complex problems into small parts 🔹 Ask the right questions before coding 🔹 Understand why something is failing, not just where 🔹 Write code that another person can read Once you learn problem-solving, learning a new language becomes just another weekend project. Tech changes fast. But the habit of thinking clearly? 𝗧𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗿𝗲𝗮𝗹 𝘀𝘂𝗽𝗲𝗿𝗽𝗼𝘄𝗲𝗿. What’s one skill you think every developer should master — beyond code? 🤔 #softwareengineering #developerlife #problemsolving #programming #learning #techskills

We mistake 𝗳𝗹𝘂𝗲𝗻𝗰𝘆 𝗶𝗻 𝘁𝗼𝗼𝗹𝘀 for 𝗳𝗹𝘂𝗲𝗻𝗰𝘆 𝗶𝗻 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀. It’s an easy trap. We collect programming languages like stamps, always chasing the shiny new framework. We feel more capable simply by knowing they exist. Yet most great software solution starts with one thing: a fiercely clean, well-defined problem. My recent pivot to Vibe Coding has been a game changer. It’s the mindset where you step back and ask: 𝘞𝘩𝘢𝘵 𝘪𝘴 𝘵𝘩𝘦 𝘧𝘢𝘴𝘵𝘦𝘴𝘵, 𝘤𝘭𝘦𝘢𝘳𝘦𝘴𝘵, 𝘮𝘰𝘴𝘵 𝘥𝘪𝘳𝘦𝘤𝘵 𝘳𝘰𝘶𝘵𝘦 𝘵𝘰 𝘴𝘰𝘭𝘷𝘪𝘯𝘨 𝘵𝘩𝘪𝘴 𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘱𝘳𝘰𝘣𝘭𝘦𝘮? The language choice then becomes a 𝘁𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻, not an emotional one. You stop worrying about the ideal tech stack. You start writing code that delivers value. It’s a powerful feeling of focus… a soft rhythm of 𝘰𝘶𝘵𝘱𝘶𝘵 over 𝘪𝘯𝘱𝘶𝘵. I do want to add...Vibe Coding works best if you have a foundation to fall back on. For example, knowing Python, its limitations, and its ecosystem to do vibe coding is way better than just doing vibe coding in Python. 𝗛𝗼𝘄𝗲𝘃𝗲𝗿, this need not be a limitation to take the first step towards problem solving. So for someone who does not know anything about Python, you can start with Python as the 𝘤𝘩𝘰𝘴𝘦𝘯 𝘱𝘳𝘰𝘨𝘳𝘢𝘮𝘮𝘪𝘯𝘨 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦 for vibe coding and start learning it later in parallel. The true Visionary Builder is fluent in the language 𝘢𝘯𝘥 disciplined in the vibe.