Python OOP Practice: Attributes, Constructors, Inheritance

Day 10: Advanced OOP concepts 🐍 • Decorators, getters and setters • Instance, static, and class methods • Practiced examples for real-world understanding #Python #CodingJourney #Learning CodeWithHarry

🚀 Today I learned: Instance Variables vs Class Variables in Python While diving deeper into Python OOP, I explored an important concept — the difference between instance variables and class variables. Here’s a simple breakdown 👇 🔹 Instance Variables - Defined inside the "__init__" method - Unique for each object - Stored separately for every instance 🔹 Class Variables - Defined inside the class but outside methods - Shared by all objects of the class - Same value across all instances (unless changed) 💡 Key Difference: - Instance variable → Object-specific - Class variable → Shared across all objects Understanding this helps in writing efficient and structured code, especially when working on larger projects. #Python #OOP #Programming #Coding #LearningJourney #100DaysOfCode

Spent today mastering Python's 4 core data structures — List, Tuple, Set & Dict. Made this cheatsheet to lock it in 🔒 Includes comparison table, key methods, memory hooks & common pitfalls. Drop a 🐍 if you find it useful! #Python #Programming #DataStructures #LearningInPublic #100DaysOfCode

🚀 Understanding OOP in Python – Made Simple! Object-Oriented Programming (OOP) is one of the most powerful concepts in Python that helps us write clean, reusable, and scalable code. In this visual, I’ve broken down the core building blocks of OOP: 🔹 Class & Object – The blueprint and its real-world instances 🔹 Encapsulation – Bundling data and methods together 🔹 Inheritance – Reusing and extending existing code 🔹 Polymorphism – Same method, different behavior 🔹 Abstraction – Hiding complexity, showing only essentials 💡 Also included is a simple Python example to connect theory with practical implementation. #Python #OOP #Programming #Coding #SoftwareDevelopment #LearnPython #TechBasics

Mastering OOPs in Python! Understanding these 5 core concepts changed the way I write code: 🔹 Class – Blueprint of objects 🔹 Object – Real-world instance 🔹 Inheritance – Reuse code smartly 🔹 Abstraction – Hide complexity 🔹 Polymorphism – One interface, multiple behaviors Strong OOP fundamentals = Cleaner & scalable code. #Python #OOP #Programming #Coding #DataScience #Learning

🔁 Python Revision – Loops Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ for loops ✔️ while loops ✔️ Nested loops ✔️ Loop control statements (break, continue, pass) Practiced writing programs using loops to handle repetitive tasks efficiently and explored nested loops for solving pattern-based and complex problems. Documented my practice in a colab Notebook and shared it as a PDF to track my progress. Understanding loops is helping me write more structured and efficient code 💡 #Python #Loops #Programming #Coding #LearningJourney #DataAnalytics

Just published a deep dive into Advanced OOP Patterns in Python—covering practical design strategies that help build scalable, maintainable, and production-ready systems. If you're aiming to level up your architecture skills beyond basics, this one’s worth your time. #Python #SoftwareEngineering #OOP #CleanCode #DesignPatterns #BackendDevelopment #TechLeadership #CodingExcellence

Simple code… powerful logic 💯 Check vowel or consonant in Python 4 easy methods 👇 ✔️ if-else ✔️ user input ✔️ function ✔️ lambda Basics strong = coding king 👑 #Python #LearnCoding #CodingLife #Developer

Started revisiting Python fundamentals 🐍 From variables and data types to loops, functions, and collections — it’s clear that strong basics make everything easier in the long run. What stood out to me: ✔ Simplicity in syntax ✔ Powerful built-in data structures ✔ Clean and readable code Back to strengthening the foundation 💡 #Python #Programming #LearningJourney #Coding #DataAnalytics