Mastering OOP in JavaScript with Classes & Inheritance

🚀 Understanding OOP in JavaScript 🚀 Object-Oriented Programming (OOP) is a programming paradigm that helps us structure code using objects — making it more organized, reusable, and scalable. In JavaScript, OOP revolves around: Classes & Objects – Templates (classes) to create objects. Encapsulation – Keeping data safe inside objects. Inheritance – Reusing code by extending existing classes. Polymorphism – Methods behaving differently based on context. Abstraction – Hiding complex implementation details. Example: class Person { constructor(name, age) { this.name = name; this.age = age; } greet() { console.log(`Hello, I'm ${this.name}`); } } class Employee extends Person { constructor(name, age, role) { super(name, age); this.role = role; } greet() { console.log(`Hello, I'm ${this.name} and I work as a ${this.role}`); } } const emp = new Employee("Aditya", 24, "Developer"); emp.greet(); // Hello, I'm Aditya and I work as a Developer 💡 Why OOP in JS? Makes code modular and maintainable. Reduces redundancy through inheritance. Simplifies complex projects with abstraction and encapsulation. #JavaScript #OOP #Coding #WebDevelopment #LearnToCode

Python or Node.js (JavaScript) for backend in 2026? Python wins for rapid development, massive ecosystem (data/ML/AI), readability, and enterprise adoption. JS shines in full-stack consistency, real-time apps, and performance in I/O-heavy scenarios, but the choice depends on your goals. This breakdown helps cut through the hype. Read more: https://lnkd.in/dQEndKAV Author: Jane Nkwor

🚀 JavaScript Learning Series – Understanding Some Basic Terms First Before we start learning JavaScript, it’s important to understand a few basic programming terms. These terms will help us better understand how JavaScript works. 1️⃣ What is a High-Level Language? A high-level language is a programming language that is easy for humans to read and write. It uses simple and understandable syntax compared to low-level languages like machine code. Examples: JavaScript, Python, Java. 2️⃣ What is an Object-Oriented Programming Language? Object-Oriented Programming (OOP) is a way of writing programs using objects. Objects contain data and functions together. For example, a Car object can have: • properties → color, model • methods → start(), stop() 3️⃣ What is an Interpreted Language? An interpreted language runs code line by line instead of compiling the entire program before execution. JavaScript is interpreted by the JavaScript engine inside the browser. 4️⃣ What is a Synchronous Language? Synchronous execution means code runs one step at a time in order. The next line of code runs only after the previous line finishes. Example: console.log("Step 1") console.log("Step 2") console.log("Step 3") Output: Step 1 Step 2 Step 3 Each line waits for the previous one to complete. 5️⃣ What is a Single-Threaded Language? JavaScript is single-threaded, which means it can execute one task at a time. It has only one call stack to process code. Even though JavaScript is single-threaded, it can still handle asynchronous operations using mechanisms like the event loop (which we will learn later). 💡 Understanding these concepts will make it easier to learn how JavaScript works internally. 📌 In the next post, we’ll finally answer the main question: What exactly is JavaScript and why do we need it? ❓ Quick question: Do you think JavaScript is an interpreted language or a compiled language? Share your answer in the comments. #JavaScript #Programming #WebDevelopment #FrontendDevelopment #LearnToCode

Welcome to the fourth edition of this weekly series where we look at the surprising sides of programming languages. Even in times where a growing share of code is generated by AI tools, understanding how a language works under the hood remains both fun and relevant. Knowing why a language behaves the way it does helps you read, debug, and reason about code with confidence. This week we look at JavaScript. JavaScript performs automatic type coercion when operators work on values of different types, silently converting operands so the operation can proceed. The plus operator behaves differently depending on its inputs: if one operand is a string, JavaScript converts the other to a string and concatenates, so 5 + "3" yields 53 instead of 8 or a type error. Subtraction instead converts both operands to numbers, so 5 - 3 is 2. The conversion rules are precisely defined in the specification but complex enough to surprise even experienced developers with edge cases like [] + [] resulting in an empty string or [] + {} resulting in [object Object]. The strict equality operator === was introduced later to help developers avoid unintended coercion. The next concept is the event loop. JavaScript is single-threaded, so it runs one piece of code at a time but still manages asynchronous tasks like network requests, timers, and user input without blocking. It does this through the event loop, which checks if the call stack is empty and then pulls the next task from a queue. When you call setTimeout with a zero delay, its callback goes into the task queue and runs only after the current stack clears, so it executes after subsequent synchronous code. Promises add another layer with a microtask queue, which has higher priority than the regular task queue. Knowing this distinction is key to predicting execution order in asynchronous JavaScript. In JavaScript, all numbers are 64-bit floating point values following the IEEE 754 standard, and there is no separate integer type. As a result, 0.1 + 0.2 does not equal 0.3 but instead yields 0.30000000000000004, not because of a JavaScript bug but due to how binary floating point represents decimal fractions. The value 0.1 cannot be represented exactly in binary, just as one third cannot be written exactly in decimal. This issue affects any language using IEEE 754, but it is more visible in JavaScript because there is no integer type to fall back on for exact whole-number arithmetic. For financial or precision-critical work, developers typically use libraries for arbitrary-precision arithmetic or operate on integers representing the smallest unit, such as cents instead of dollars. Next week, we continue with a different language. #JavaScript #JS #Programming #SoftwareEngineering #CodeCuriosities #DevCommunity

Building reliable connections between Python backends (FastAPI/Django) and React frontends requires careful engineering. Here’s a streamlined breakdown of the challenges and solutions: The Challenges: Race Conditions & Memory Leaks Race Conditions: When multiple API calls overlap, the UI might display stale data from an earlier request that finished last. This creates a confusing and inconsistent user experience. Memory Leaks: If an API call completes after a React component has unmounted, the component may still try to update its state. This can degrade application performance and stability. Python Backend Solutions (FastAPI/Django) Custom Exceptions & Handlers: Avoid generic errors. Define specific exception classes for different conditions (e.g., UserNotFoundError). Use global exception handlers to catch these, log details server-side, and send structured, user-friendly JSON responses back to the client. Structured Error Responses: Consistency is crucial. Ensure your backend always returns a predictable error structure, including: A machine-readable error code (e.g., ERR_AUTH_FAILED). A clear message for the user. Optional details for troubleshooting. React Frontend Solutions Controlled Fetching with useEffect & Axios: Leverage the useEffect hook in combination with Axios to create a structured data flow for asynchronous requests. Explicit State Management: Utilize distinct state variables (e.g., loading, data, error) to provide immediate visual feedback to the user and gracefully handle all request outcomes. This prevents UI issues arising from incomplete data. Cleanup Functions with AbortControllers: Prevent Memory Leaks: Implement cleanup functions within useEffect using AbortController. This ensures that pending API requests are cancelled if the component unmounts or the effect re-runs, preventing state updates on unmounted components. 💡 Key Takeaway Predictable and resilient data flow is essential for production-ready applications. By prioritizing robust error handling from backend to frontend and implementing controlled data fetching with proper cleanup, you create a more stable, user-friendly, and maintainable full-stack application. Mastering these patterns is a significant step towards engineering high-quality software. #Python #FastAPI #ReactJS #WebDevelopment #FullStack #SoftwareEngineering #LearningInPublic

New Blog Published: Understanding Object-Oriented Programming in JavaScript Object-Oriented Programming (OOP) is one of the most important concepts in software development. While learning JavaScript, understanding how classes, objects, and the four pillars of OOP work can greatly improve the way we structure and manage code. In this article, I explain: • What Object-Oriented Programming means • Classes and objects in JavaScript • The constructor method • The four pillars of OOP: Encapsulation, Abstraction, Inheritance, and Polymorphism • Simple examples to understand these concepts clearly My goal was to break down OOP in a simple and beginner-friendly way, especially for developers who are starting their JavaScript journey. I would really appreciate your feedback and thoughts. Special thanks to the mentors and community whose content has been very helpful during my learning journey: Hitesh Choudhary Piyush Garg Akash Kadlag Jay Kadlag Anirudh J. Also grateful to the amazing community at Chai Aur Code for continuously sharing knowledge and learning resources. 📖 Read the article here: https://lnkd.in/dQjcnbqJ #javascript #webdevelopment #oop #programming #learninginpublic

🚀 From Backend APIs to Smart Automation with Core Python A few days ago, I shared my Streamlit Password Generator project. Today, I’m excited to share another project I built using Core Python + Streamlit — a Smart File Organizer. As a backend engineer with 4+ years in PHP/Laravel and Django, I’ve spent most of my career building APIs, payment systems, and transaction-heavy platforms. But recently, I decided to go deeper into core Python fundamentals — not just frameworks. So I built something simple… but powerful. 🧠 The Problem: We all have messy folders filled with random files: Images (.png, .jpg, .jpeg) Documents (.pdf, .docx, .txt) Videos Audio files And “mystery files” 😅 🛠 The Solution: A Smart File Organizer that: • Accepts a folder path • Scans all files • Detects file extensions • Automatically groups them into folders like: Images Documents Videos Audio Others Built with: Core Python (os, shutil, file handling) Streamlit (for a clean interactive UI) 💡 What I Loved About This Project Seeing how powerful Python’s standard library is Writing logic without depending on heavy frameworks Turning backend logic into a usable interface with Streamlit Building something practical that solves a real everyday problem What’s interesting is this: As a backend developer used to Django and Laravel, this experience reminded me that strong fundamentals > frameworks. Frameworks are tools. Core language knowledge is power. I’m really enjoying this phase of building small but practical tools with Python. More projects coming soon 🚀 #Python #Streamlit #BackendDeveloper #SoftwareEngineering #BuildInPublic #LearningJourney #WomenInTech

🚀 New Blog Posted... Hello Developers 🖐, We often start learning JavaScript by writing code, but many struggle to truly understand what happens behind the scenes. So I wrote a beginner-friendly article explaining the core building blocks of JavaScript: • Variables • Data Types • Scoping • var, let, and const In this article, I break down these concepts in the simplest way possible with visual explanations and practical examples so beginners can understand how JavaScript actually works under the hood. If you're starting your JavaScript journey or revising fundamentals, this will help. 🗒️Read the full article here 👇 : https://lnkd.in/ge26UnkM Feedback from fellow developers is always welcome. Thanks to my mentors for the community & support. Hitesh Choudhary Anirudh Jwala Akash Kadlag Piyush Garg #chaicode #JavaScript #WebDevelopment #Programming #Coding #FrontendDevelopment #LearnToCode

🔥 Day 71 — Python vs TypeScript “Backend Power vs Scalable Web Apps” 🐍 Python Simple & beginner-friendly Used in AI, ML, automation Great backend frameworks (Django, Flask) Huge libraries ecosystem Fast development 🔷 TypeScript Superset of JavaScript Adds strong typing to JavaScript Used in large-scale web applications Popular with frameworks like Angular, React, Node.js Helps catch errors early ⭐ Quick Verdict Python → AI, ML, automation, backend TypeScript → scalable web apps & large frontend projects #Python #TypeScript #Programming #WebDevelopment #SoftwareDevelopment #CodingLife #Developers #LearnToCode #TechCommunity #ProgrammingTips #DeveloperLife #TechKnowledge #100DaysOfCode #CodeNewbie #BackendDevelopment #FrontendDevelopment #MachineLearning #AI #WebApps #CodingTips

Prototypes in JavaScript (The Secret Behind Everything) JavaScript doesn’t use classical inheritance like Java or C++ 👉 It uses Prototypal Inheritance --- 💡 Every object in JS has a hidden link: "[[Prototype]]" --- ⚡ Example: const animal = { speak() { console.log("Animal speaks"); } }; const dog = Object.create(animal); dog.speak(); // 🐶 Animal speaks --- 🤯 What just happened? - "dog" does NOT have "speak()" - JavaScript looks into its prototype - Finds it in "animal" 👉 This is called the Prototype Chain --- 🧩 Real Magic: [].map === Array.prototype.map // true 👉 That’s why arrays have methods like "map", "filter", etc. --- ⚠️ Important: dog.__proto__ === animal // true But avoid using "__proto__" directly Use "Object.getPrototypeOf()" --- 🚀 Why this matters: - Foundation of JS inheritance - Helps understand classes under the hood - Makes debugging easier --- Reference from 👉 Sheryians Coding School #javascript #webdevelopment #frontend #programming #coding