Md. Akkas Miah’s Post

Object-Oriented Programming (OOP) Let's take a closer look at the core concepts of OOP: ➡️ Classes & Objects - Classes are blueprints. They define the properties and behaviors of the objects created from them. - Objects are instances of classes. They bring the blueprint to life with unique attributes. ➡️ Inheritance - This allows one class to inherit attributes and methods from another. - It promotes code reusability and creates a hierarchy. Think of it as building upon a solid foundation. ➡️ Encapsulation - Encapsulation restricts access to certain components of an object. - It helps in protecting data and creates a clear separation between an object's interface and implementation. This is your shield against chaos! ➡️ Abstraction - Abstraction simplifies complex systems by exposing only the necessary parts. - It allows you to focus on high-level functionalities without getting lost in the details. ➡️ Polymorphism - This concept allows methods to do different things based on the object that is calling them. - It enhances flexibility and facilitates efficient code management. By mastering these concepts, you can: - Write cleaner code - Enhance collaboration - Improve system design 💡 Remember, OOP isn't just about syntax; it's a way of thinking. Understanding these principles transforms you from a coder into an architect of solutions. I help technical professionals build impactful career brands on LinkedIn. : Check in Comment below 👇 Create LinkedIn Diagrams for FREE using AI! Join waitlist : Check in Comment below 👇 Follow Ashish Sahu for more tech content

Object-Oriented Programming (OOP) Let's take a closer look at the core concepts of OOP: ➡️ Classes & Objects - Classes are blueprints. They define the properties and behaviors of the objects created from them. - Objects are instances of classes. They bring the blueprint to life with unique attributes. ➡️ Inheritance - This allows one class to inherit attributes and methods from another. - It promotes code reusability and creates a hierarchy. Think of it as building upon a solid foundation. ➡️ Encapsulation - Encapsulation restricts access to certain components of an object. - It helps in protecting data and creates a clear separation between an object's interface and implementation. This is your shield against chaos! ➡️ Abstraction - Abstraction simplifies complex systems by exposing only the necessary parts. - It allows you to focus on high-level functionalities without getting lost in the details. ➡️ Polymorphism - This concept allows methods to do different things based on the object that is calling them. - It enhances flexibility and facilitates efficient code management. By mastering these concepts, you can: - Write cleaner code - Enhance collaboration - Improve system design 💡 Remember, OOP isn't just about syntax; it's a way of thinking. Understanding these principles transforms you from a coder into an architect of solutions. I help technical professionals build impactful career brands on LinkedIn. : Check in Comment below 👇 Create LinkedIn Diagrams for FREE using AI! Join waitlist : Check in Comment below 👇 Follow Ashish Sahu for more tech content

Object-Oriented Programming (OOP) Let's take a closer look at the core concepts of OOP: ➡️ Classes & Objects - Classes are blueprints. They define the properties and behaviors of the objects created from them. - Objects are instances of classes. They bring the blueprint to life with unique attributes. ➡️ Inheritance - This allows one class to inherit attributes and methods from another. - It promotes code reusability and creates a hierarchy. Think of it as building upon a solid foundation. ➡️ Encapsulation - Encapsulation restricts access to certain components of an object. - It helps in protecting data and creates a clear separation between an object's interface and implementation. This is your shield against chaos! ➡️ Abstraction - Abstraction simplifies complex systems by exposing only the necessary parts. - It allows you to focus on high-level functionalities without getting lost in the details. ➡️ Polymorphism - This concept allows methods to do different things based on the object that is calling them. - It enhances flexibility and facilitates efficient code management. By mastering these concepts, you can: - Write cleaner code - Enhance collaboration - Improve system design 💡 Remember, OOP isn't just about syntax; it's a way of thinking. Understanding these principles transforms you from a coder into an architect of solutions. I help technical professionals build impactful career brands on LinkedIn. : Check in Comment below 👇 Create LinkedIn Diagrams for FREE using AI! Join waitlist : Check in Comment below 👇 Follow Ashish Sahu for more tech content

Demystifying OOP: The 4 Pillars of Object-Oriented Programming "Hello #Programmers! 👋 As we go deeper into software development, understanding Object-Oriented Programming (OOP) becomes crucial. OOP is a programming paradigm based on the concept of 'objects', which can contain data and code. It helps organize complex software into manageable, reusable pieces. Let's demystify the 4 fundamental pillars of OOP: Encapsulation: Bundling data (attributes) and the methods (functions) that operate on the data into a single unit (class). It hides the internal state of an object from the outside, only exposing what's necessary via public interfaces. Think of a car's engine – you interact with the steering wheel and pedals, not the internal combustion process. Abstraction: Hiding complex implementation details and showing only the essential features of an object. It focuses on 'what' an object does rather than 'how' it does it. An example is using a remote control – you press buttons without needing to know the TV's internal circuitry. Inheritance: A mechanism where a new class (subclass/child) is derived from an existing class (superclass/parent). This allows the subclass to inherit properties and behaviors from the parent, promoting code reuse. For instance, a 'Car' class might inherit from a 'Vehicle' class. Polymorphism: Meaning 'many forms'. It allows objects of different classes to be treated as objects of a common superclass. This means a single interface can be used for different underlying data types, leading to more flexible and extensible code. A classic example is a draw() method behaving differently for 'Circle', 'Square', and 'Triangle' objects. Grasping these principles is key to writing scalable, maintainable, and robust software. Which OOP principle do you find most challenging or most rewarding to implement? Let's connect and share insights! #OOP #ObjectOrientedProgramming #Programming #Coding #SoftwareDesign #CSE #TechEducation #Developer"

💻 Master the Core Concepts of OOP (Object-Oriented Programming) Object-Oriented Programming isn’t just about code — it’s about how you think as a developer. Let’s break down the core pillars that make OOP powerful 👇 ➡️ Classes & Objects 🧩 Classes are blueprints — they define the properties and behaviors of objects. 🚀 Objects are the real-world instances that bring those blueprints to life with unique data. ➡️ Inheritance 🔁 Enables one class to inherit attributes and methods from another. ⚙️ Promotes code reusability, reduces duplication, and builds a logical class hierarchy. ➡️ Encapsulation 🛡️ Protects data by restricting direct access to certain object components. 📦 Keeps your code organized and maintains a clear interface — your shield against chaos! ➡️ Abstraction 🎭 Simplifies complexity by showing only what’s necessary. 💡 Helps you focus on what an object does, not how it does it. ➡️ Polymorphism 🎨 The ability for the same method to behave differently depending on the object that calls it. ✨ Adds flexibility and makes your code easier to scale and maintain. 💪 Mastering these OOP concepts helps you: ✅ Write cleaner, modular code ✅ Collaborate better with teams ✅ Design scalable, maintainable systems 💡 Remember: OOP isn’t just a programming model — it’s a mindset. Think like an architect, not just a coder. 🧠💻 #SoftwareEngineering #Programming #OOP #ObjectOrientedProgramming #Coding #Developers #CodeDesign #TechEducation #BackendDevelopment #CleanCode #SoftwareDesign #EngineerMindset

95% of programmers use OOP daily. Only 5% understand why it exists The shift? I stopped memorising definitions and started asking "Why does this exist?" That one question changed everything. Most developers know WHAT inheritance is. Few understand WHY it exists. Same with encapsulation, polymorphism, abstraction, interfaces, abstract classes. We learn the syntax. We miss the purpose. Here's what I wish someone told me on day one: Every OOP concept solves a specific problem: •Encapsulation → Protects data integrity • Inheritance → Eliminates code duplication • Polymorphism → Enables flexible design • Abstraction → Manages complexity And the principles? They're not academic theory. SOLID, DRY, KISS, YAGNI — each one prevents a maintenance nightmare. The real breakthrough came when I understood: Abstract Classes vs Interfaces isn't about "which is better." It's about "which problem am I solving?" (And Java 8+ changed the rules completely with default methods) I've compiled everything into a practical guide: ✅ Each OOP concept with working examples ✅ Which principle each one employs (DRY, SOLID, etc.) ✅ Abstract classes vs Interfaces - old rules vs new ✅ Java 8+ changes and what they actually mean ✅ Decision frameworks for real projects

I hope I am wrong about this, I really do, but !! Whenever I try to reason about SOLID principles, I always end up with the conclusion that they need some rework. From my perspective, I see holes in them, which pushes me to not really take them that much seriously anymore in my daily programming life. Saying they are useless would be pushing it, but irrelevant, and could use some work is what I would say. And I am sure that a lot of developers feel the same, they just don’t express that. Single responsibility : Pretty subjective principle, what a responsibility is or what a concern is depends on who you are asking. What makes a concern for me might make two for another one. So, I would rather call it narrowing concerns or responsibilities. Making a class do the minimum is a great thing. Open for extension, close for modification: Practically never seen it in real life, and seems unrealistic. What we actually do most of the time is modify our classes and not really extend them anytime a behaviour change is needed. Also, the principle encourages inheritance, which we always try to avoid.  For me, I would encourage making changes as minimal as possible, following techniques like polymorphism or strategy, but only when the code is actually pushing towards that, always be code-driven, and let the code decide the design, don’t overengineer. In addition to embarrassing tests, refactoring tools, and CI pipelines, making modifying code safer. Liskov substitution: Most of us agree that we want composition and not inheritance. So, not much to say here. Interface segregation: Seems like a fancier wording for Single responsibility for interfaces. It makes sense to keep contracts as minimal as possible(narrow concerns) so that the client does not have to implement methods he does not need. Dependency inversion: “Always depend on abstraction as abstraction is constant and implementations change”. This is probably one of the most overengineered statements I have ever heard of. It contradicts YAGNI, and it leads to a hell of interfaces, abstractions, and indirections, leading to hard-to-read code. It really makes my life painful as someone who reviews, reads, and writes code. Whenever I review a code and I find the principle there, it eventually turns out that in 90% of cases, it is just dogmatically employed, and it is not really backed by any proof or argument that it works for this case. What I often ask in these scenarios: Are we looking at a possible polyimplementation case? In other words, is it obvious in our backlog(near future) that we might have another implementation for this? And the answer is often no. So why not bet on the simple side? Remember, the future is probable and might never come, and even then, if simplicity is present, refactoring can be trivial. I did that several times. “Architecture or design is something that should naturally emerge from the code and the consistent refactor of code,” Gavin King, creator of Hibernate.

How to stop writing spaghetti code: key ideas of OOP. Recently, I've been pondering how to write code that doesn't turn into spaghetti - you know, that tangled mess that's impossible to untangle later. One article really got me thinking about diving deeper into the basics of object-oriented programming (OOP), as it's supposedly the foundation for clean and scalable code. Sharing my fresh thoughts here-maybe it'll help someone else wrap their head around it too. The essence of OOP is modeling your program as a collection of objects that interact, just like in real life. A class is like a blueprint (e.g., "Car" with properties like color and speed, and methods like "drive" or "brake"). An object is a specific instance of that class, with its own unique data. The four key principles that hooked me: - Abstraction: Hide the implementation details, focusing on "what" the object does, not "how." Like a car's steering wheel-you don't need to know the engine's inner workings to drive. - Encapsulation: Keep data hidden inside the class, accessible only through methods (getters/setters). This protects against accidental changes and makes code modular. - Inheritance: Build new classes based on existing ones, borrowing properties. For example, "ElectricCar" inherits from "Car" but adds a battery. - Polymorphism: One interface, different implementations. A "turn on" button works differently for a lamp and a TV, but the interface is the same. I also liked the ideas of composition and aggregation: composition is when parts are inseparable from the whole (a car and its engine), while aggregation is when parts are independent (a university and its students). This helps break down complex systems into simple components without code duplication. Overall, OOP seems like a powerful tool for making code readable, reusable, and easy to extend. #OOP #Programming #CleanCode