Switching to Python from Another Language: Top Resources

🐍 90 Days of Python – Day 34 Polymorphism in Python | One Interface, Many Forms Today’s focus was on Polymorphism, one of the core pillars of Object-Oriented Programming that makes Python code flexible, scalable, and easy to extend. 🔹 Concepts covered today: ✅ Understanding polymorphism in OOP ✅ Method overriding in child classes ✅ Same method name, different behaviors ✅ Polymorphism with inheritance ✅ Real-world examples using base and derived classes Polymorphism allows us to: Write generic and reusable code Extend functionality without modifying existing code Build systems that are easy to maintain and scale This concept is widely used in: Large software systems Framework and library design Clean architecture and design patterns 📌 Day 34 completed — learning how Python handles behavior dynamically using polymorphism. 👉 Have you used method overriding in any real project yet? #90DaysOfPython #PythonOOP #Polymorphism #LearningInPublic #CleanCode #SoftwareEngineering #PredictiveAnalyticsJourney

🚀 Python Developer Roadmap | Beginner to Advanced👍 As a Python Developer, having a clear and structured learning roadmap is essential for building strong fundamentals and mastering advanced concepts. This roadmap covers everything from core Python basics to advanced topics like OOP, APIs, databases, web development, and data science. A perfect guide for anyone serious about growing in the Python ecosystem. 📌 Continuous learning and hands-on practice are the keys to success in software development. #PythonDeveloper #Python #Programming #SoftwareDevelopment #Coding #DeveloperLife #LearningJourney #TechSkills #CareerGrowth

🚀 Python OOP Series — Article 6 is Live! 🔐 Abstraction in Python — Hiding Complexity, Showing Only What Matters When we use apps like UPI, ATM machines, or even a car… we don’t worry about how everything works internally. We just use the functionality. That’s exactly what Abstraction does in programming. In this article, I explained: ✅ What abstraction really means (in simple terms) ✅ Abstract classes and abstract methods in Python ✅ Real-life relatable examples ✅ How abstraction improves code design in real projects ✅ Step-by-step Python implementation using the abc module If you’re learning Object-Oriented Programming, abstraction is one of the most important concepts to master. And trust me — once it clicks, OOP becomes much easier to understand. 📖 Read here: https://lnkd.in/gxYR4GkB This is part of my Mastering OOP in Python series where I’m breaking down complex concepts into beginner-friendly explanations. If you find this helpful, feel free to share or drop your thoughts 🙌 #Python #OOP #Programming #Coding #SoftwareDevelopment #CodingJourney #BeginnerProgrammer

🐍 90 Days of Python – Day 30 Object-Oriented Programming (OOP) – Core Concepts Today, I continued learning Object-Oriented Programming (OOP) in Python, focusing on the core principles that help build scalable and maintainable applications. OOP allows us to structure programs using real-world concepts, making code easier to understand, extend, and debug. 🔹 Concepts covered today: ✅ Understanding Encapsulation ✅ Introduction to Inheritance ✅ Basics of Polymorphism ✅ Code reusability using classes ✅ Structuring programs using OOP principles Why OOP is important: Helps manage large codebases Promotes reusable and modular code Widely used in backend development, APIs, and frameworks Essential for professional Python development 📌 Day 30 completed — strengthening the foundation for advanced Python and real-world projects. 👉 Which OOP concept do you find most interesting: Encapsulation or Inheritance? #90DaysOfPython #PythonOOP #LearningInPublic #PythonDeveloper #ObjectOrientedProgramming #CodingJourney

Python supports both Procedural and Object-Oriented Programming? Let me break it down simply....👇 Procedural Programming in Python: Means writing a sequence of instructions, one after another, using functions to organize your logic. It is straightforward, easy to read, and works great for small scripts or simple tasks. You define functions, call them in order, and the program flows from top to bottom. Object-Oriented Programming takes a different approach. Instead of just writing functions, you model your problem using classes and objects. Each object holds its own data and behavior together, making your code more modular, reusable, and easier to scale as your project grows. Here is the key difference in a nutshell. In procedural style, data and functions are separate. In OOP, they live together inside a class, giving you encapsulation, inheritance, and polymorphism as powerful tools. So which one should you use? For quick scripts and data pipelines, procedural works just fine. For large applications, games, APIs, or anything you plan to maintain long-term, OOP gives you a much cleaner structure. Python is flexible enough to let you mix both styles, which is one of the reasons developers love it so much. Drop your thoughts in the comments below. #Python #Programming #OOP #SoftwareDevelopment #CodingTips #LearnPython

📅 Day 69 – Python OOP Practice 🐍✨ Today, I learned an important Object-Oriented Programming (OOP) concept in Python — Multiple Inheritance 🔁 📌 Definition: Multiple Inheritance is a concept where one child class inherits properties and methods from more than one parent class. ✨ What I understood: Understanding multiple parent classes 👨👩👦👦 Creating a child class that inherits from two parent classes 🔗 Accessing data and methods from both parent classes 🧱 Reducing code duplication through reusability ♻️ Writing clean, structured, and scalable Python code 🧠💻 💡 Multiple Inheritance improves flexibility and helps build well-organized, maintainable applications 🚀✨ #Day69 #Python #OOP #MultipleInheritance 🔁 #CodingJourney 🚀 #LearningDaily 📚 #100DaysOfCode 🔥 Rudra Sravan kumar 10000 Coders

Python for Beginners 2026 - Day 10: OOP Basics Today we stepped into an important programming paradigm Object-Oriented Programming (OOP) which helps us design clean, structured, and scalable Python programs. * What we covered today: - What is OOP and why it is used - Understanding Class & Object - Attributes and Methods - Using the constructor (__init__) - Difference between attributes and methods - A real-world example to connect concepts with practice OOP allows us to think in terms of real-world entities, making code easier to understand, reuse, and maintain This session builds a strong foundation for writing professional and organized Python applications. Stay connected — more Python learning coming soon! #PythonForBeginners #Day10Python #OOPinPython #ObjectOrientedProgramming #LearnPython #ProgrammingConcepts #DeveloperJourney #ContinuousLearning

🐍 90 Days of Python – Day 31 Inheritance in Python | Building on Existing Code Today, I explored inheritance in Python, one of the most powerful OOP concepts that allows a class to acquire properties and behaviors from another class. Inheritance helps reduce code duplication and makes programs more organized and scalable. 🔹 Concepts covered today: ✅ Understanding base (parent) and derived (child) classes ✅ Using the super() function ✅ Method overriding ✅ Types of inheritance (single & multilevel) ✅ Code reusability through inheritance Why inheritance matters: Promotes reusability of existing code Makes applications easier to extend Simplifies maintenance of large systems Widely used in frameworks and real-world projects 📌 Day 31 completed — learning how to extend functionality without rewriting code. 👉 Do you prefer composition or inheritance when designing applications? #90DaysOfPython #PythonInheritance #LearningInPublic #PythonOOP #CleanCode #DeveloperJourney

Want to improve your Python skills faster? These 5 Python projects help you move beyond tutorials and gain practical, real-world coding experience while strengthening your development fundamentals. Start building. Start growing. 🌐 www.skillversed.com 📩 support@skillversed.com #skillversed #PythonProjects #LearnToCode #CodingProjects #SoftwareDevelopment #developer #TechLearning #PythonCommunity #python