Solved the "Add Digits" Problem using Java Today, I worked on an interesting problem where the task is to repeatedly add all digits of a number until we get a single digit. Example: Input: 38 3 + 8 = 11 1 + 1 = 2 Approaches I explored: Iterative Approach (Loop) – Keep summing digits until a single digit is obtained Optimized Approach (Digital Root) – Achieves O(1) time complexity Key Learning: Understanding patterns in numbers can help us move from a basic solution to a highly optimized one. The Digital Root concept was a great takeaway! Language Used: Java Excited to keep improving my problem-solving skills and exploring efficient solutions! #Java #DSA #Coding #ProblemSolving #Programming #LearningJourney #Developers #Tech #InterviewPrep
Solving the Add Digits Problem with Java
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Optimizing problems is what separates good developers from great ones. In this short video, I explained the Prefix Sum Technique, which helps answer range sum queries efficiently. - Precompute cumulative sums in O(n) - Answer queries in O(1) - Widely used in subarray and matrix problems This simple idea can drastically improve performance in real-world scenarios. Explore structured DSA in Java roadmap + practice: www.quipoin.com #DSA #Java #Programming #Coding #Algorithms #SoftwareEngineering #InterviewPreparation
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I struggled a lot to understand Polymorphism in Java at first… until I simplified it like this 👇 👉 Polymorphism means “one thing, many forms” In Java, it mainly happens in 2 ways: 1️⃣ Method Overloading (Compile-time Polymorphism) Same method name, different parameters Example: add(int a, int b) add(int a, int b, int c) 2️⃣ Method Overriding (Runtime Polymorphism) Subclass provides its own implementation of a method Example: A Vehicle class has a method start() A Car class overrides it with its own logic 🚗 💡 Why is this powerful? Makes code flexible Improves reusability Helps write cleaner programs 📌 Simple way to remember: Overloading = Same method, different inputs Overriding = Same method, different behavior I wish I had learned it this way earlier—it would have saved me hours! If you're learning Java, keep going 💻 Consistency beats complexity. #Java #Programming #Coding #OOP #Learning #Developers
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🚀 Day 31 of solving DSA by using java : 😎 Today I worked on an interesting problem: finding the maximum number of consecutive 1’s in a binary array. 🔍 Problem Overview: Given an array containing only 0’s and 1’s, the goal is to determine the longest continuous sequence of 1’s. 💡 Approach: The idea is simple and efficient: Traverse the array once Maintain a counter for consecutive 1’s Reset the counter whenever a 0 appears Track the maximum count throughout the iteration ⚡ Why this works: This approach ensures we only pass through the array once, making it: Time Complexity: O(n) Space Complexity: O(1) ✨ Key Learning: Sometimes the most optimal solutions come from simple observations and clean logic rather than complex techniques. #Consistency in solving these small problems really helps in building strong problem-solving skills! #Coding #DSA #ProblemSolving #Algorithms #CodingPractice #100DaysOfCode #LearnToCode #Tech #SoftwareEngineering #Programming #Developers #CodeNewbie #InterviewPrep 🚀
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🚀 Want to understand how ArrayList really works in Java? In this short video, I break down the basics of the List interface and show how ArrayList handles: ✅ adding elements ✅ resizing when full ✅ inserting at a specific index ✅ removing elements ✅ fast access with get(i) A simple visual explanation of one of the most used data structures in Java. Perfect for beginners, students, and anyone sharpening their DSA fundamentals. 💡☕ #Java #ArrayList #DataStructures #Algorithms #Programming #SoftwareDevelopment #Coding #JavaDeveloper #LearnToCode #ComputerScience #DSA #BackendDevelopment #Developers #TechEducation #CodeNewbie
Java ArrayList Explained in 45 Seconds
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Day 16 of My Java Learning Journey Today, I explored an efficient and elegant approach to finding the median of a list using Java Streams. Instead of relying on traditional iterative logic, this solution leverages the power of functional programming to: • Sort the dataset • Dynamically identify the middle element(s) • Handle both odd and even-sized lists seamlessly • Compute the result using a concise and readable pipeline What makes this approach impactful is not just correctness, but clarity. With a few well-structured stream operations, we can express a problem that typically requires multiple conditional checks in a much cleaner way. This reinforces an important principle in modern Java development: writing code that is not only efficient, but also expressive and maintainable. Consistently practicing these patterns is helping me think in terms of data transformations rather than step-by-step instructions — a key mindset shift for building scalable applications. #Java #JavaStreams #FunctionalProgramming #CodingJourney #SoftwareDevelopment #CleanCode #Programming #Developers #TechLearning #BackendDevelopment #CodeDaily #LearningInPublic
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Understanding Polymorphism in Java can be challenging, but simplifying it can make a big difference. Polymorphism means “one thing, many forms.” In Java, it primarily occurs in two ways: 1. Method Overloading (Compile-time Polymorphism) - Same method name, different parameters - Example: - add(int a, int b) - add(int a, int b, int c) 2. Method Overriding (Runtime Polymorphism) - A subclass provides its own implementation of a method - Example: - A Vehicle class has a method start() - A Car class overrides it with its own logic Why is this powerful? - It makes code flexible - It improves reusability - It helps write cleaner programs A simple way to remember: - Overloading = Same method, different inputs - Overriding = Same method, different behavior I wish I had learned it this way earlier—it would have saved me hours! If you're learning Java, keep going. Consistency beats complexity. #Java #Programming #Coding #OOP #Learning #Developers
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Understanding the difference between shallow copy and deep copy in Java really changed how I think about object handling and memory. A shallow copy duplicates the reference — meaning changes in one object can unexpectedly affect another. On the other hand, a deep copy creates an entirely independent object with its own memory allocation. This concept might seem small at first, but it becomes critical when working with complex data structures, real-world applications, and avoiding unintended side effects. Key takeaway: Always be clear whether you're copying data or just references. #Java #Programming #Learning #DSA #SoftwareDevelopment
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Mastering Java – One Concept at a Time Lately, I’ve been strengthening my foundation in Java, and here are some key insights from my learning journey: - OOP Concepts – Encapsulation, Inheritance, Polymorphism, Abstraction = Strong code design - Data Types & Operators – Building blocks of every Java program - Control Statements & Loops – Writing logical and efficient programs - Collections Framework – Powerful tools to manage and organize data - Exception Handling – Writing robust and error-free applications - Multithreading – Unlocking the power of concurrent execution Key Realization: Java is not just a language—it’s a mindset for building scalable, maintainable, and secure applications. Consistency in learning + practice = Confidence in coding #Java #Programming #CodingJourney #SoftwareDevelopment #TechLearning #OOP #Developers
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Day-3 📗 Java Learning Journey Understanding I explored narrowing (explicit type casting) — converting a larger data type into a smaller one. 👉 This process is not automatic and requires manual casting because it can lead to data loss. 🔹 What I learned: • Explicit casting is required ( ) • Decimal values get truncated • Overflow can occur when value exceeds range. #Java #Programming #LearningJourney #Coding #Developers #JavaBasics #ManualTesting #SoftwareTesting
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🔹 Title: Solving “Plus Minus” Problem in Java 📊 🔹 Description: Today I solved the Plus Minus problem, where the goal is to calculate the ratios of positive, negative, and zero values in an array. The challenge was not just counting the values, but also formatting the output correctly to 6 decimal places. 💡 Approach: Traverse the array and count positives, negatives, and zeros Divide each count by the total number of elements Print results using precise formatting 🔹 What I learned: ✔ Importance of output formatting ✔ Handling edge cases (like zeros) ✔ Writing clean and efficient Java code Consistency in practicing such problems really strengthens core programming skills. 🚀 #Java #Coding #ProblemSolving #Programming #DataStructures
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