Mastering Polymorphism in Object-Oriented Programming

Struggling with OOP? SOLID Principles Make It Simple. • When I first started learning Object-Oriented Programming in Java, everything felt confusing… • Classes, inheritance, interfaces — it all looked good in theory but hard to apply in real projects. • That’s when I discovered SOLID principles — and everything started making sense. - Here’s how SOLID connects with real OOP 👇 • S — Single Responsibility Principle (SRP) One class = one job A class should have only ONE job(each class has a single responsibility - easier to maintain). • O — Open/Closed Principle (OCP) Add new features without changing old code Code should be open for extension, but closed for modification.(Instead of changing existing code every time, you should add new features without breaking old code) • L — Liskov Substitution Principle (LSP) Child classes should behave like parent classes. (Proper inheritance and fewer bugs). • I — Interface Segregation Principle (ISP) Small and focused interfaces Don't force classes to implement things they don't need better to have small, specific interfaces. (Clean and flexible design). • D — Dependency Inversion Principle (DIP) Depend on abstractions (interface), not concrete classes instead of tightly linking classes, use interfaces. SOLID is not just theory — it’s the foundation of clean and maintainable code. If you're learning Java or OOP, start with SOLID — everything else becomes easier. 😊 #Java #OOP #SOLID #CleanCode #Programming #SoftwareEngineering

🚀 Understanding Object-Oriented Programming: In simple terms, OOP is a programming paradigm that allows you to organize data and actions into reusable objects. These objects can have their own properties (data fields) and behaviors (methods), making code more modular and easier to maintain. For developers, mastering OOP is crucial as it promotes code reusability, scalability, and helps in building more complex and efficient applications. 🔑 Step by step breakdown: 1️⃣ Define a class with properties and methods 2️⃣ Create an object (instance) of the class 3️⃣ Access and modify object properties 4️⃣ Call object methods Full code example: ```python class Person: def __init__(self, name, age): self.name = name self.age = age def greet(self): return f"Hello, my name is {self.name} and I am {self.age} years old." # Create an instance of Person person1 = Person("Alice", 30) # Access object properties print(person1.name) print(person1.age) # Call object method print(person1.greet()) ``` 💡 Pro tip: Encapsulate data within objects to protect it from external interference and ensure code integrity. ⚠️ Common mistake: Forgetting to use the `self` keyword when defining class methods. This can lead to errors and unexpected behavior. 🤔 What's the most challenging aspect of learning OOP for you? Share in the comments below! 🧠💬🌐 View my full portfolio and more dev resources at tharindunipun.lk #ObjectOrientedProgramming #CodeReuse #Modularity #SoftwareDevelopment #Python #LearningToCode #DeveloperCommunity #TechTips #Programming101

I want to talk about Type Hierarchies in Object Oriented Programming today. I find them counter-intuitive to grasp. As part of initial OOP learning, people often focus on creating structured type hierarchies for classes. For typical example, in Java, you'd create abstract class called Vehicle and have child classes - Truck, Bus, Car etc. (at least that's what they teach you in theory, books, and these days - in LLM suggestions as well :D) But, in my experience, refactoring and maintaining such rigid type hierarchies is hard and painful. When requirements change, the code requires cascading changes across all types. This defeats the purpose of creating the hierarchy in the first place. Ideally, things that change together should belong together (you know - low coupling, high cohesion). To achieve this low coupling, a good rule of thumb is "reduce type hierarchies in code whenever possible and replace them with behaviour composition". This leads to decoupled designs, where you can pick and choose individual behaviours as lego blocks to build new things. I really like Go's approach to behaviour composition, where you can just add a method that matches the signature defined in an interface, and boom! your struct implements that interface. You don't have to declare explicitly that your type implements that interface. Have you seen any counter examples where creating upfront type hierarchy has actually been beneficial?

If anyone is interested in developing their skills in Object-Oriented Programming (OOP), a quick thought based on my experience that might be helpful. 💬 Here are some tips for developing this skill.If anyone is interested in developing their skills in Object-Oriented Programming (OOP), here are a few tips based on my experience that might help: 💬 I personally learned OOP from W3Schools, and it gave me a strong foundation to understand the basics clearly. 💡 Here are some tips for developing this skill: * Start with the fundamentals: understand concepts like classes, objects, inheritance, encapsulation, and polymorphism. * Practise consistently by writing small programs and projects. * Break problems into smaller parts and solve them using OOP principles. * Read and learn from other people’s code to see how OOP is applied in real-world scenarios. * Be patient and keep improving step by step. OOP takes time to master, but with practise land the right resources, you can become confident in using it.

Master OOP in C# Like a Pro. If you want to become a strong C# developer… you must master OOP first. Because coding is not just syntax, it’s about how you design your logic. This PDF explains the core OOP concepts in C# in a simple and practical way. Here’s what you’ll learn: What is OOP and why it matters Objects and Classes (real building blocks) Encapsulation (data hiding & control) Polymorphism (multiple behaviors) Inheritance (code reusability) Abstraction (focus on essentials) OOP helps you: Write clean and structured code Build scalable applications Reuse code efficiently Model real-world systems in software Without OOP, your code becomes messy. With OOP, your code becomes powerful. If you’re learning C#… this is not optional — this is mandatory. Comment “PDF” and I’ll send you the complete guide. If this feels like your journey, you’re not alone. If you want to grow on LinkedIn, follow ❤️ me Narendra Kushwaha. and DM me. I’ll guide you on the right path for 2026, based on my journey of building a 6K+ LinkedIn family in 7–8 months. #CSharp #DotNet #OOP #Programming #SoftwareDevelopment #Coding #DeveloperJourney #LearnToCode

🚀 Master OOPs Like a Pro & Write Scalable Code! 💡🔥 Object-Oriented Programming isn’t just a concept — it’s a superpower for developers 🧠⚡ From Encapsulation 🔒 to Polymorphism 🎭, from Inheritance 🧬 to SOLID Principles 🏆 — mastering OOP helps you: ✅ Write clean & maintainable code ✅ Build scalable applications 🚀 ✅ Think like a software architect 🧠 ✅ Crack interviews with confidence 💼 💡 Pro Tip: Great developers don’t just write code… they design systems! 👉 Start thinking in Objects, not just functions. 👉 Follow DRY, KISS & YAGNI principles. 👉 Prefer Composition over Inheritance. 🔥 The difference between a beginner and a pro? Code that works vs Code that scales! Let’s level up together 💪🚀 Medium - https://lnkd.in/g4xnbMs9 Google Blogs - https://lnkd.in/gwZ6Twub Personal Site - https://lnkd.in/gX7vyv64 Medium - https://lnkd.in/g4xnbMs9 #OOP #Programming #SoftwareDevelopment #CleanCode #SOLID #Developers #CodingLife #Tech #FullStackDeveloper #RubyOnRails #100DaysOfCode #DevCommunity

I am developing a dynamically typed, object-oriented, garbage-collected programming language written in pure Rust. Meet Scarlet, Scarlet is a programming language built in Rust. It compiles source code to Bytecode and executes it on a stack-based virtual machine, with the entire runtime weighing in at just ~500 KB. Scarlet runs natively as a CLI tool and also compiles to WebAssembly for embedded use in browsers and Node.js environments. ✅ Bytecode Compilation: Single-pass Pratt parser that emits bytecode directly, no AST built. ✅ Stack-based VM: Virtual machine with closures, upvalues, and call frames supporting functions as first class data types. ✅ Garbage Collection: Tri-color mark-and-sweep, self-growing Garbage collector. ✅ Object-Oriented: Classes, single inheritance, this, super, and constructors via init. ✅ String Interning: Identical strings share a single allocation for O(1) equality checks. ✅ Bitwise Operators: Full support for &, |, ^, !, <<, >> on integer operands. ✅ Native Functions: Built-in I/O, type introspection, coercion, and timing, platform-gated for WASM. ✅ WebAssembly Target: Compiles to .wasm for web, bundler, and Node.js targets via wasm-pack. ✅ REPL: Interactive session with persistent state across lines. ✅ Debug Mode: Annotated bytecode disassembly for tracing execution. Scarlet's here on Github: https://lnkd.in/gw2sNCDF I am building Scarlet as a recreational project, following the clox implementation of the Lox language from the great Crafting Interpreters book by Bob Nystrom. It was a pain to build the virtual machine, fighting the borrow checker. I wish I could have pivoted to a different language earlier. I have solved the famous Reverse Nodes in K-Group problem from LeetCode https://lnkd.in/g6ihmfaT in my own programming language - the algorithm is attached below. I would like to thank Dr. Prasina Sathish m'am, Dinesh D. sir and R. Gowri Thirugnanam ma'am and my class faculty for their encouragement and for fostering a healthy programming culture in our department and college.

I just published part seven of my Functional Programming Through Elixir series. This one covers higher-order functions.                        If you've used map and filter before, you've already used higher-order functions. But there's more to it. The post gets into:                                                                                     - Reduce, and why map and filter are really just special cases of it  - Function factories (returning functions from functions)  - How a two-line Elixir function replaces OOP's Strategy pattern  - Building new functions by composing smaller ones The thing that clicked for me writing this was how much design pattern machinery goes away when functions can carry behaviour directly. No interfaces, no class hierarchies. Just functions.  Link to the post: https://lnkd.in/eCYANXtq  #elixir #functionalprogramming #softwareengineering #learning

💡 Polymorphism & Key OOP Concepts – Visual Learning While strengthening my Java Object-Oriented Programming (OOP) fundamentals, I created a simple visual summary of some important concepts related to Polymorphism and class relationships. Here are the key ideas: 🔹 Tight Coupling When classes are highly dependent on each other. Changes in one class may directly affect the other. 🔹 Loose Coupling Classes interact through interfaces or parent classes, making systems more flexible and easier to maintain. 🔹 Upcasting Converting a child object into a parent reference. This helps achieve runtime polymorphism. 🔹 Downcasting Converting a parent reference back to a child reference to access child-specific functionality. 🔹 Limitation of Parent Reference A parent reference can only access methods defined in the parent class, even if the object belongs to the child class. 🔹 Ways to Achieve Polymorphism ✔ Method Overloading – Compile-time polymorphism ✔ Method Overriding – Runtime polymorphism 🔹 Association in OOP • Composition – Strong relationship between objects • Aggregation – Weak relationship where objects can exist independently 📊 I’ve summarized these concepts visually in the infographic below to make them easier to understand. Learning and revising these fundamentals is important for writing scalable, reusable, and maintainable software systems. I’m continuously improving my Java and software development skills as part of my learning journey at TAP Academy. #Java #OOP #Polymorphism #SoftwareDevelopment #Programming #LearningInPublic #JavaDeveloper