Encapsulation- Wrapping data and methods together in a class (using private variables + getters/setters). 🔹 Abstraction- Hiding implementation details and showing only essential functionality. Encapsulation focuses on data hiding. Abstraction focuses on hiding complexity. Understanding the difference made OOP concepts much clearer for me. Learning step by step. Improving daily. #Java #OOP #Programming #LearningJourney #SoftwareDevelopment
Java OOP: Encapsulation vs Abstraction
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Strong software doesn’t happen by accident — it’s designed with principles. The foundation of Object-Oriented Programming (OOP) stands on four key pillars: • Encapsulation – Protecting data and controlling access within a class. • Abstraction – Exposing only what’s necessary while hiding complexity. • Inheritance – Reusing and extending existing functionality efficiently. • Polymorphism – Allowing flexibility through multiple implementations of the same interface. Mastering these concepts transforms code from functional to structured, scalable, and maintainable. #OOP #Java #SoftwareDesign #Programming #ComputerScience
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🚀 #Java_OOP_Programming — #Encapsulation_Series Released! Glad to share the next learning milestone in our Java OOP Programming journey — focusing on one of the most important industry-level OOP concepts: Encapsulation. 🎯 New Sessions Added (78–84): ✅ Session 78 – Introduction to Encapsulation ✅ Session 79 – Why Do We Need Encapsulation? ✅ Session 80 – Without Encapsulation (Bad Practice) ✅ Session 81 – Encapsulation Rules (Industry Standard) ✅ Session 82 – Encapsulation Example: Student Class ✅ Session 83 – Real-Time Example: Mobile Phone ✅ Session 84 – Encapsulation in Industry: Employee Example 💡 Learn how real software systems protect data, enforce rules, and build maintainable applications using encapsulation. 📚 Includes: Concept explanations Industry examples Practical coding demonstrations Real-world design understanding 🔗 Playlist: https://shorturl.at/PqSdI ✨ Learning by Doing with Praveen Kandhan #Java #OOP #Encapsulation #Programming #SoftwareEngineering #LearningByDoing #JavaDeveloper #Students #CodingEducation
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Encapsulation is another important idea in object oriented programming. It focuses on protecting the internal data of a class and allowing controlled access to it through methods. Things that became clear : • encapsulation means wrapping data and the methods that operate on that data inside a single unit (a class) • variables are usually declared private so they cannot be accessed directly from outside the class • getter and setter methods are used to read or modify those variables • this helps maintain control over how data is changed • it improves security and keeps the class structure cleaner A simple example helps illustrate the idea : class Book { private int pageNo; public void setData(int x) { if (x > 0) pageNo = x; } public int getData() { return pageNo; } } In this structure, the page number cannot be accessed directly from outside the class. It can only be modified through the provided methods. This approach helps prevent invalid data from entering the system and keeps the internal structure of the class protected. #java #oop #programming #learning #dsajourney
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🚀 Understanding Object-Oriented Programming (OOP) Basics Object-Oriented Programming is one of the most important concepts in modern software development. Here’s a simple breakdown: 🔹 Class – A blueprint or template used to create objects. 🔹 Object – A real-world instance of a class. 🔹 Field / Property (Data) – The attributes that define the state of an object. 🔹 Method (Behavior / Action) – The functions that define what an object can do. OOP helps in writing clean, reusable, and organized code. Mastering these fundamentals builds a strong foundation for languages like Java, C++, Python, and more. 💡 Keep learning. Keep building. #ObjectOrientedProgramming #OOP #Java #Programming #SoftwareDevelopment
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Today let's practice one of the strongest foundations in Java — Arrays. From basics like: ✔ Finding even numbers ✔ Reversing an array ✔ Sum & average To logic-building concepts like: ✔ Largest & smallest element ✔ Linear Search (Brute Force) ✔ Selection Sort Arrays may look simple… But they build real problem-solving skills and algorithmic thinking. I’ve uploaded all the programs here: https://lnkd.in/g_ZW9aqq Swipe through the carousel → Practice → Improve #Java #JavaFullStack #Arrays #CodingPractice #DSA #LearningInPublic #Programming
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🔁 Recursion Made Simple When a function calls itself — that’s Direct Recursion. When it calls another function that calls it back — that’s Indirect Recursion. 💡 Example: Factorial of 6 6 × 5 × 4 × 3 × 2 × 1 = 720 Base Case ➝ Stops the recursion Recursive Call ➝ Breaks problem into smaller parts Think smaller. Solve smaller. Build bigger. 🚀 #Java #Recursion #Programming #CodingLife #DataStructures #LearnToCode
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Another key idea in object oriented programming is abstraction. Abstraction focuses on exposing only the essential behaviour of an object while hiding the internal implementation details. In Java, one way to achieve abstraction is through abstract classes. Things that became clear : • an abstract class cannot be instantiated directly • abstract classes can contain both abstract methods and normal methods • abstract methods declare behaviour but do not provide implementation • child classes must provide implementation for the abstract methods • this allows a common structure while letting subclasses define specific behaviour A simple example helps illustrate the idea : abstract class Bird { abstract void fly(); } class Sparrow extends Bird { void fly() { System.out.println("Sparrow flying"); } } Here the Bird class defines the idea of flying, but the actual behaviour is implemented by the specific type of bird. This approach helps separate what an object does from how it actually performs the task. #java #oop #programming #learning #dsajourney
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🎯 Day 68 of #100DaysOfCode 📌 Problem: Combination Sum II Today's challenge was a twist on the classic combination sum problem! Each number in candidates can only be used once, and the solution set must not contain duplicate combinations. 🧠 Approach: Sorted the array first to handle duplicates efficiently Used recursion with backtracking Skipped duplicate elements to avoid repeated combinations Explored all possible combinations by picking/unpicking elements 📊 Stats: ✅ 176/176 test cases passed ⚡ Runtime: 6 ms | Beats 73.38% 💾 Memory: 45.61 MB | Beats 19.56% 📝 Takeaway: The key challenge was avoiding duplicate combinations while ensuring each element is used at most once. Sorting + skipping duplicates during recursion made this elegant. Memory optimization is the next frontier! 🔗 Problem: Combination Sum II 🏷️ #LeetCode #CodingChallenge #Java #Backtracking #Recursion #Algorithms #DuplicateHandling #TechJourney #Programming
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Some days ago I came across a interesting programming language "Scala". After getting a quick overview I strongly feel that pertaining to its compact code and execution time this object oriented language can certainly ease out things effectively working with big data due to multiple library support and simpler API integrations. Here is a quick overview course that helped me with the basics of Scala including the core cause of its development to implementing various datatype and both mutable and immutable collections as arrays, lists ,sets, maps, tuples along with basic conditional and iterative statements. Link: https://lnkd.in/dCveWMzu
What is Scala? | Scala Programming Tutorial for Beginners | Apache Spark Training | Edureka
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