Ruby Kumar A’s Post

Most developers read files. Fewer actually process them efficiently. Here’s a simple but powerful example using Java Streams — counting the number of unique words in a file in just a few lines of code. What looks like a basic task actually highlights some important concepts: • Stream processing for large data • Functional programming with map/flatMap • Eliminating duplicates using distinct() • Writing clean, readable, and scalable code Instead of looping manually and managing data structures, this approach lets you express the logic declaratively. It’s not just about solving the problem — it’s about solving it the right way. Small improvements like this can make a big difference when working with large datasets or building production-grade systems. How would you optimize this further for very large files? #Java #JavaDeveloper #StreamsAPI #FunctionalProgramming #CleanCode #BackendDevelopment #SoftwareEngineering #Programming #DevelopersOfLinkedIn #CodingJourney #TechLearning #100DaysOfCode

I spent two weeks just thinking about the module system. Not building it. Thinking about it. Because the hardest part of building an ERP platform isn't the features. It's the architecture decisions that are nearly impossible to reverse later. How do you let someone extend a core model without touching core code? How do you make sure their extension survives when the core module gets updated? How do you do this without requiring every developer to understand a complex internal plugin API? The answer I kept coming back to: it has to feel like regular Python. Inherit a class. Override a method. Add a field. Done. No special registry calls. No XML manifest files. No decorators that only work in specific contexts. If a developer already knows Python, they should be able to extend a Fullfinity module with minimal effort. Not after a week of reading documentation. Building something like this alone is slow. But I'd rather get the foundation right than ship something that creates the same problems I'm trying to solve. What does good extensibility look like to you in a framework or platform? #Python #ERP

🚀 𝗝𝗮𝘃𝗮 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗣𝗿𝗲𝗽 – Day 3 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮𝗻 𝗢𝗯𝗷𝗲𝗰𝘁-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 (𝗢𝗢𝗣) 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲? An Object-Oriented Programming (OOP) language is a programming language based on the concept of objects, which represent real-world entities. 👉 These objects contain: • Data (Attributes) • Methods (Functions) that operate on that data 💡 OOP helps in writing code that is: • Modular • Reusable • Scalable 🔑 𝗙𝗼𝘂𝗿 𝗠𝗮𝗶𝗻 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗹𝗲𝘀 𝗼𝗳 𝗢𝗢𝗣: ✔️ Encapsulation – Wrapping data and methods into a single unit (class) ✔️ Inheritance – Reusing properties and behavior from an existing class ✔️ Polymorphism – One interface, multiple implementations ✔️ Abstraction – Hiding internal details and showing only essential features 💻 𝗘𝘅𝗮𝗺𝗽𝗹𝗲𝘀 𝗼𝗳 𝗢𝗢𝗣 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: • Java • C++ • Python 📌 In simple terms, OOP allows developers to model real-world problems using objects, making software easier to manage and maintain. 👉 In next post we will see one by one principle of OOP language in details. #Programming #OOP #Java #Coding #SoftwareDevelopment #TechInterview #P_Pranjali #Java_Day3

We used to spend months designing automation frameworks. Debating: Java vs Python vs C# Page Object Model vs custom patterns Test runners, reporting, CI/CD… Now? Claude vs OpenAI vs Copilot Single agent vs multi-agent architecture Prompt design vs tool-driven workflows 👉 Full article on Medium: https://lnkd.in/dU45uDmK #AIAgents #AgenticAI #GenerativeAI #AIArchitecture #SoftwareEngineering #TestAutomation #SystemDesign #TechTrends #FutureOfWork #Innovation

🚀 How LinkedList Solves What Arrays Cannot. (https://lnkd.in/g_8fWXFq ) ➡️ An array demands contiguous memory — every element must sit next to the other. But what if memory is scattered? That's exactly where LinkedList steps in, connecting nodes across RAM using addresses. Here are the key takeaways from the LinkedList session at TAP Academy by Sharath R sir : 🔹 The Node: Every element lives in a node — an object with a data field and the address of the next (and previous) node. It's not magic, it's just object references. 🔹 Singly vs Doubly: Singly LL has one link — forward traversal only. Doubly LL has two links — bidirectional. Java's LinkedList class uses Doubly LL internally. 🔹 Initial Capacity = 0: Unlike ArrayList (initial capacity 10), LinkedList pre-allocates nothing. Every add() creates a fresh node dynamically — no contiguous block needed. 🔹 Polymorphism hiding in plain sight: new LinkedList(arrayList) works because ArrayList IS-A Collection. Parent reference + child object = loose coupling. The same concept from OOP, live inside Collections. 🔹 Iterator vs ListIterator: Iterator moves forward only. ListIterator moves both ways — but declaring it as Iterator type blocks access to hasPrevious(). That's Inheritance at work — parent references can't reach specialized child methods. Visit this Interactive webpage to understand the concept by visualization : https://lnkd.in/g_8fWXFq #Java #LinkedList #CoreJava #TapAcademy #DataStructures #OOP #Collections #LearningEveryDay #SoftwareDevelopment #Programming

Many developers get confused between DTO, Entity, and ViewModel. But knowing the difference can make your code much cleaner. ✅ Entity = Database table model ✅ DTO = Data sent between API and client ✅ ViewModel = Data prepared for UI screen Same data. Different jobs. Small concepts like this help you become a better developer step by step. Which one do you use most in your project? #dotnet #csharp #aspnetcore #backenddeveloper #webapi #developer #programming #coding #softwaredeveloper #linkedinlearning

Problem Solved: Super Reduced String (Stack Approach) Today I solved an interesting string problem where we repeatedly remove adjacent matching characters until no more reductions are possible. 💡 Key Idea: Used a StringBuilder as a stack to efficiently remove adjacent duplicates in a single pass. 🔧 Tech Used: Java | String Manipulation | Stack Concept 📌 What I Learned: How stack-based thinking simplifies string problems Writing optimized O(n) solutions Clean handling of edge cases like empty string 📊 Example: Input: aaabccddd Output: abd This problem is a great example of how simple logic + the right data structure can lead to efficient solutions. #Java #DataStructures #CodingPractice #ProblemSolving #Algorithms

Many testers focus on tools, but strong frameworks are built on OOP fundamentals. Inheritance avoids repeating setup and common utilities. Encapsulation keeps locators and actions inside page classes, reducing risk. Abstraction hides implementation and keeps tests easy to read. Polymorphism helps handle different browsers or environments with the same code. Constructors help initialize drivers and test data properly. Interfaces make your framework more flexible and extensible. Collections simplify handling dynamic test data. Framework quality is not about how many tools you use it’s about how well your design holds up. Strong OOP skills turn automation from scripts into structured, scalable systems. Follow Harshitha Shapuram more helpful content. #SoftwareTesting #AutomationTesting #Java #OOP #SDET #TestAutomation #QualityEngineering

Many testers focus on tools, but strong frameworks are built on OOP fundamentals. Inheritance avoids repeating setup and common utilities. Encapsulation keeps locators and actions inside page classes, reducing risk. Abstraction hides implementation and keeps tests easy to read. Polymorphism helps handle different browsers or environments with the same code. Constructors help initialize drivers and test data properly. Interfaces make your framework more flexible and extensible. Collections simplify handling dynamic test data. Framework quality is not about how many tools you use it’s about how well your design holds up. Strong OOP skills turn automation from scripts into structured, scalable systems. Follow Supriya Darisa for more helpful content. #SoftwareTesting #AutomationTesting #Java #OOP #SDET #TestAutomation #QualityEngineering

🚀 𝐍𝐞𝐰 𝐕𝐢𝐝𝐞𝐨 𝐎𝐮𝐭 — 𝐖𝐡𝐲 𝐀𝐫𝐫𝐚𝐲 𝐈𝐧𝐝𝐞𝐱 𝐒𝐭𝐚𝐫𝐭𝐬 𝐟𝐫𝐨𝐦 𝟎? (Beginner Friendly) Ever wondered why arrays in Java start from 0 instead of 1? 🤔 This is one of the most common questions beginners have — and understanding this will level up your programming fundamentals. In this video, I’ve explained the concept in a simple and practical way — not just theory, but the real reason behind it. 🎬 𝐓𝐨𝐩𝐢𝐜: Why Index Starts at 0 in Arrays 💡 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐯𝐢𝐝𝐞𝐨 𝐲𝐨𝐮’𝐥𝐥 𝐥𝐞𝐚𝐫𝐧: ✅ What is an Array & what is Index ✅ Why indexing starts from 0 (core concept) ✅ Memory concept behind arrays (important 🔥) ✅ How JVM calculates element position ✅ Formula: base_address + (index * size) ✅ Why starting from 0 makes access faster 💡 I’ve explained this using a simple memory visualization: • First element → base address (index 0) • Next elements → calculated using offset • No extra calculation needed → more efficient ⚡ This helps you understand how things work internally, not just remember syntax. 📺 Watch Video 👇 https://lnkd.in/ga3iaUNN 💬 Did you know this before, or did you think arrays should start from 1? 🔁 Share this with someone learning Java — this concept clears a lot of confusion 🚀 #Java #JavaCourse #LearnJava #Programming #SoftwareEngineering #Developers #Coding #Arrays #DataStructures #CodingJourney #NVerse