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Today marks Day 25 of my Java learning journey — and today's topic took my understanding of array traversal and pattern detection a step further! I explored how to find the smallest and largest repeating elements in a sorted array, but this time, by traversing from the last element to the first — a reverse approach that really deepened my logic-building skills. In most array problems, we move from start to end, but reversing the direction helps us analyze problems differently. While implementing this logic, I learned how: Reverse traversal can directly identify the largest repeating element first, saving time in certain cases. The smallest repeating element can still be determined efficiently while looping backward. Writing separate methods (functions) improves readability and makes the code modular, reusable, and easy to test. This exercise reminded me that in programming, sometimes changing the direction of thought — quite literally — opens up a new perspective for optimization. 🔁💡 #Java #Day25 #Programming #LearningJourney #Coding #SoftwareDevelopment #Arrays #ProblemSolving #LogicBuilding #ReverseTraversal #DataStructures #LearningEveryday

Today marks Day 27 of my Java learning journey — and today, I focused on solving the problem of removing duplicates from a sorted array using an optimized in-place approach — without using any extra space. Instead of creating a new array, I applied the two-pointer technique — one pointer to traverse (read) through the array and another to track (write) the position where the next unique element should be placed. Each time a new distinct value appeared, it was written at the current write index, effectively overwriting duplicates as the array was scanned. This approach reduced the space complexity to O(1) while maintaining a clean O(n) time complexity. What made this problem truly interesting was how a small change in perspective — using two moving pointers instead of nested loops — made the solution both elegant and efficient. It was a great reminder that optimization often lies in logic, not in length of code. 💡 #Java #Day27 #LearningJourney #Programming #Coding #ProblemSolving #DataStructures #Algorithms #LogicBuilding #Optimization #SoftwareDevelopment #Efficiency #TwoPointers

🚀 Today’s Learning: Inheritance in Java (OOP Concept) Today, I explored one of the fundamental concepts of Object-Oriented Programming — Inheritance. 🔍 What is Inheritance? Inheritance is the process where one class acquires the properties and behaviors of another class. The class giving the features → Parent Class (Super Class / Base Class) The class receiving the features → Child Class (Sub Class / Derived Class) 💡 Why Inheritance? ✔ Code Reusability – Write once, reuse multiple times ✔ Reduces Development Time & Effort ✔ Improves Maintainability ✔ Boosts Productivity & Efficiency 🌍 Real-World Example Vehicle → Car Vehicle (Super Class): has engine, wheels, brakes, mileage Car (Sub Class): inherits all these and adds extra features like AC, sensors, airbags This concept helps us build smarter, cleaner, and more scalable software systems. see simple code having inheritance. #Java #OOP #Inheritance #LearningJourney #CodingEveryday #SoftwareDevelopment

Simple, but effective! I built a Student Grade Tracker in Java. 📊 by #CodeAlpha This project uses an ArrayList to store custom Student objects and calculates key metrics like the class average, highest grade, and lowest grade. It highlights strong foundational skills in Java and OOP. On to the next project! 📂 GitHub Repository: https://lnkd.in/eJ_94gi7 #JavaDeveloper #Coding #Programming #PortfolioProject

Part 3: The Culture of Programming Languages Every programming language teaches you a new way to think. Every programming language has its own unique culture. Not just syntax, but assumptions, priorities, and habits of mind. Python values clarity. Java teaches structure. JavaScript encourages flexibility. To learn a language is to understand its mindset; its way of reasoning. It shapes how teams design systems, debate trade-offs, and define what "elegance” means. The best engineers don’t just know languages. They think in them, moving between cultures of code while keeping their own standards intact. Which, if you’ve followed the series so far, is the same balance Solomon once lost: expand your wisdom, but never lose your core. (Read Part 2: The Hidden Limits of a Shared Language) #Programming #TechCulture #CodePhilosophy #GrowthMindset

Day(11/30)| Java Problem Solving Series Today I practiced an interesting problem — Check if a number is a Palindrome At first, my logic had a small mistake I was creating a new variable inside the loop (int n = x;) which kept resetting the value of x each time. That caused the loop to never actually reverse the number properly. After debugging, I corrected it by updating x directly instead of re-declaring n. Key Learning: Always check your loop variables carefully — one small mistake (like re-initializing inside the loop) can change the entire logic! #Java #Coding #ProblemSolving #LearningEveryday #LinkedInCodingJourney #Debugging #Programming

💎 Ever heard of the diamond problem in C++? In object-oriented programming, when two classes share a common base and a third inherits from both, ambiguity and unexpected bugs appear. I tried to explain how C++ solves this with virtual inheritance; #cpp #moderncpp

: 🚀 Understanding Call by Value vs Call by Reference (Simple & Visual) Learning core programming concepts becomes much easier when we understand how data is passed inside functions or methods. To make it clearer, I created a minimal visual 🔍 that quickly explains the difference between: 🔹 Call by Value – Passes a copy of the actual data 📄 🔹 Call by Reference – Passes the address/reference of the data 🔗 ✔ Key Takeaways ✨ Call by Value: Original data stays the same 🔧 Call by Reference: Original data can be modified This visual uses simple symbols and minimal text to show how memory interaction works behind the scenes 🧠💡. #programming #java #codingfundamentals #learning #developers #techcommunity #codegnan Anand Kumar Buddarapu Saketh Kallepu

Today marks Day 28 of my Java learning journey — and today, I explored an interesting concept — finding how many times each element appears in a sorted array efficiently. Since the array is already sorted, similar elements are grouped together. This makes it possible to count frequencies in a single traversal, without using any additional data structures. Instead of checking every element repeatedly, we simply move through the array once, count consecutive duplicates, and print their frequency. This approach runs in O(n) time complexity and uses O(1) extra space, making it an elegant and optimized solution. Through this, I understood the importance of utilizing data properties — like sorted order — to simplify and speed up problem-solving. Such techniques are widely used in data analysis, compression algorithms, and frequency-based sorting. Learning this strengthened my understanding of loop control, conditional logic, and how efficient thinking transforms code performance. Every new concept is helping me refine my analytical approach and think like a true problem solver. 💡 #Java #Day28 #Coding #LearningJourney #DataStructures #Arrays #Programming #ProblemSolving #LogicBuilding #JavaLearning #Efficiency #Optimization 

Today marks Day 24 of my Java learning journey — and today, I explored one of the simplest yet most logical sorting algorithms — Bubble Sort 🫧 It works by repeatedly comparing adjacent elements and swapping them if they’re in the wrong order. With every pass, the largest element “bubbles up” to its correct position — reducing comparisons in each round (n - i - 1). This concept not only strengthened my understanding of nested loops and logical flow but also helped me visualize how sorting happens step by step! ⚙️ Though it’s not the most efficient algorithm (O(n²)), Bubble Sort builds the perfect foundation for mastering advanced sorting techniques like Quick Sort and Merge Sort later. Every small swap counts toward big learning progress! 🚀 #Java #Day24 #Programming #LearningJourney #Coding #SoftwareDevelopment #DataStructures #Sorting #BubbleSort #LogicBuilding #LearnByDoing