Comparing JavaScript to Python, PHP, and C# syntax

Day 72 – Object Oriented Programming (OOP) in JavaScript Today I explored one of the most powerful programming paradigms — Object Oriented Programming (OOP) in JavaScript. OOP helps us structure code using real-world concepts like objects, classes, inheritance, and methods. 🔹 Creating a Class in JavaScript class Sample { constructor(name, place){ this.n = name; this.p = place; } findAvg(chemistry, physics, maths){ return `${this.n} from ${this.p} got ${(chemistry + physics + maths) / 3}`; } } const obj = new Sample("Nasil", "Marutha"); console.log(obj.findAvg(55, 65, 74)); ✅ Key Learnings: class keyword is used to define a blueprint. constructor() runs automatically when an object is created. this refers to the current object. Methods are called using the object (obj.method()). 🔹 Inheritance in JavaScript Inheritance allows a child class to access properties and methods of a parent class. class Car { constructor(brand){ this.car_name = brand; } present(){ return `I have a ${this.car_name}`; } } class Model extends Car { constructor(brand, model){ super(brand); this.mod = model; } show(){ return `${this.present()}, the model is ${this.mod}`; } } const obj = new Model("BMW", "X6"); console.log(obj.show()); ✅ Key Concepts: extends → used for inheritance super() → calls the parent class constructor Child class can use both parent and its own methods Method overriding happens if child defines same method 🔹 Important Differences (JS vs Python Understanding) JavaScript uses constructor() Python uses __init__() JavaScript uses extends Python uses Child(Parent) JavaScript uses super() Python uses super().__init__() 💡 Key Takeaway: OOP makes code modular, reusable, and scalable. Understanding classes, constructors, this, inheritance, and super() builds a strong foundation for advanced JavaScript development. Step by step, moving towards mastering JavaScript. #JavaScript #OOP #WebDevelopment #FrontendDevelopment #Programming

📘 Day 71: JavaScript OOPS (Object-Oriented Programming System) 🔹 What is OOPS? • OOPS divides a program into classes and objects • Helps in code reusability, better structure, and easy maintenance • Makes programs more organized and scalable 🔸 Class & Object • Class → Blueprint of an object • Object → Instance (example) of a class • One class can create multiple objects 💡 Example: • Class = House plan • Object = Actual house • Using one plan, we can build many houses 🔸 JavaScript OOPS vs Python OOPS • Concept is mostly the same • Differences: Python uses __init__() → JavaScript uses constructor() Python uses self → JavaScript uses this • JavaScript needs slightly more steps since this is used explicitly 🔸 Constructor • Automatically runs when an object is created • Used to initialize object properties • Defined using the constructor keyword 🔸 Methods in Class • Functions written inside a class are called methods • Can access class properties using this • Helps perform operations related to the object 🔸 Inheritance • Used to reuse code from an existing class • Achieved using extends keyword 🔹 extends • Allows a child class to inherit properties and methods from parent class 🔹 super() • Used inside child constructor • Calls the parent class constructor • Helps inherit values from parent class 🔸 Parent & Child Relationship • Parent class → Base class • Child class → Derived class • Child can access parent methods and properties ✨ Today you learned how OOPS works in JavaScript, including classes, objects, constructors, methods, and inheritance. This is a powerful concept widely used in real-world applications, frameworks, and large projects. #JavaScript #OOPS #Day71 #ObjectOrientedProgramming #ClassesAndObjects #Inheritance #JSDeveloper #FrontendDevelopment #LearningJavaScript #CodingJourney

It finally "clicked" - what Object-Oriented Programming (OOP) actually means. This is pivotal for Python and even JavaScript with React. You might even say it's a "key" concept, a very "value"-able part of the language. And when you "pare" it down to basics, you are left with objects. Anyway, I already knew about and used objects, and learned about “object-oriented programming” several times, but for some reason did not connect the two concepts. But yes, object oriented programming (OOP) is called such because it is a language that includes the variable type of objects. It boils down to that. For some reason, I once mistakenly thought of the objects in object-oriented programming as different from the variable type objects, like perhaps something visual, like an “object” moving around the page during a game for example. For example, the ball in Pong having different values to describe it - an X and Y position. Now, that's not too far off. But objects can represent so much more than that example. Yes, you can use an object to represent something on a page, but an object is basically a variable with one or more key-value pairs inside, each key-value pair basically being another variable inside that object. Later, I assumed the object vs. functional programming distinction meant that OOP did not frequently use loops and if statements. But JavaScript disproves that. Of course, I might still be misunderstanding something, so anyone can comment to add further clarifications. #OOP #ObjectOrientedProgramming #Python #JavaScript #Programming #Programmer #Coding

Building the Web with Python Web development today is not just about creating websites — it’s about building smart, scalable, and efficient digital solutions. Python has become a powerful force in modern web development. With frameworks like Django and Flask, developers can create secure, high-performance web applications faster than ever. Why Python for Web Development? ✔ Clean and readable code ✔ Rapid development capabilities ✔ Strong backend performance ✔ Seamless integration with AI & data-driven features ✔ Scalable architecture for real-world applications From dynamic websites to full-stack platforms, Python makes it possible to turn complex ideas into functional systems. As I continue growing in web development, Python remains one of the most reliable tools for building impactful solutions. Excited to keep learning, building, and innovating. #Python #WebDevelopment #BackendDevelopment #SoftwareDevelopment #FullStackDevelopment #CodingJourney

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

Python or JavaScript (Node.js) for backend in 2026??? Python wins for readability, AI/ML, and quick APIs (Django/FastAPI). JS shines for full-stack magic and real-time apps (Express/Nest). This breakdown helps you pick smart. Start here, then go deep in our April Advanced Backend Bootcamp! Read Here: https://lnkd.in/dQEndKAV #PythonVsJS #MasteringBackend

🚀 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

IDE vs. Code Editor – Understanding the Difference Python in 2026: IDE or Code Editor? The Choice Matters More Than You Think. Every Python developer starts with the same question: What do I write my code in? The answer used to be simple. Today, the landscape is more nuanced, and the choice between an IDE and a code editor defines your workflow. Let us clarify the difference. An Integrated Development Environment, or IDE, is a comprehensive toolkit. It bundles a text editor with a debugger, build automation tools, version control integration, and often a profiler. Everything comes in one package, ready to work together. PyCharm is the classic example. It understands your code deeply, points out errors as you type, and manages complex projects out of the box . A code editor is the lightweight alternative. Tools like Visual Studio Code or Sublime Text start simple. They are fast, flexible, and customizable. But they require plugins and extensions to gain IDE-like features. You build your own environment piece by piece . So which path is right for you? Choose a full IDE like PyCharm if you want everything configured from day one. It is ideal for large, organized projects where structure matters and you prefer a batteries-included approach . Choose a code editor like VS Code if you value speed and customization. You can add exactly what you need and nothing more. It scales from simple scripts to microservices, especially with its Python extension and Jupyter support . The right tool depends on your project and your preferences. There is no single correct answer. But understanding the trade-offs between a complete IDE and a modular editor will save you hours of frustration. What is your daily driver for Python development and why? #Python IDEs CodeEditors VS Code #PyCharm DeveloperTools Programming Productivity

It seems there’s value in trying to understand previously written code and make it more efficient. (Especially utilizing #JavaScript in #ReactJS to break up repetitive code and use logic to handle the components. But sometimes it seems easier to start from scratch, and try to understand the code that way, by completely rewriting it, forcing oneself to think through it again, perhaps in a new way (multiple ways to do same thing). I wonder which approach is better for deeply learning/practicing a programming language, and also which is more common in a typical professional industry (probably the former, but new applications have to be built too — unless they’re always built on top of existing codebases). More updates on these processes to come while continuing to document the journey with JavaScript, #Python, and other languages/technologies such as #Jest, different APIs, and performing CRUD operations for #fullStack projects.

FastAPI with Pytest: Testing Your APIs Like a Pro In the dynamic world of web development, building robust and reliable APIs is paramount. As your applications grow more complex, manually testing every endpoint becomes a tedious and error-prone process. This is where automated testing comes into play, and specifically, the power of pytest, a popular testing framework for Python, shines. This tutorial will guide you through integrating pytest with FastAPI, enabling you to write efficient, maintainable, and comprehensive tests for your APIs....