Jagvir Singh Thethi’s Post

🐍 Python is simple… until you start mastering it 💡 Today’s learning dive 👇 👉 Operator Overloading in Python (__add__) I implemented a custom Point class and overloaded the + operator to make objects behave naturally — just like numbers. Why this matters: It strengthens Object-Oriented Programming (OOP) fundamentals Helps write cleaner and more readable code Shows how Python gives developers both simplicity and power Example mindset: Code should feel intuitive, not forced. From basic syntax to advanced concepts like: ✔ Classes & objects ✔ Inheritance ✔ Operator overloading ✔ Practical problem-solving Python continues to impress me with how elegantly it handles complexity. 📌 Learning in public, building daily, and turning concepts into code. If you’re learning Python or revisiting OOP concepts — 💬 What’s one Python concept that clicked for you recently? #Python #PythonProgramming #OOP #OperatorOverloading #LearningInPublic #DeveloperJourney #CodeWithPython #ProgrammingLife #SoftwareDevelopment

Understanding Inheritance in Python – Simplified Inheritance is a core OOP concept that allows a class (child) to reuse code from another class (parent), keeping your code DRY (Don’t Repeat Yourself). Key Points: 1) Parent class (Base class) →  Defines common attributes or methods Example: Animal class with speak() method 2) Child class (Derived class) →  Inherits attributes/methods from parent Can override methods to customize behavior 3) Benefits: - Reuse code without rewriting - Easier maintenance and readability - Supports polymorphism and modular design #Python #PythonTips #OOP #Programming #SoftwareEngineering #DataEngineering #MachineLearning #AI #PythonDeveloper

Day 3 Python Fundamentals: Loops (While & For) As part of my ongoing effort to build a strong foundation in Python, today I focused on looping constructs, specifically the while loop and the for loop. Key concepts practiced: Implementing while loops for condition-based execution and input validation Using for loops for fixed iterations and sequence traversal Iterating over ranges and strings Controlling loop execution using break and continue Applying logical conditions within loops to handle real-world scenarios Loops are a core programming concept and are essential for writing efficient, scalable, and maintainable code across software development and data-driven applications. To maintain consistency and track progress, I am documenting my daily learning and pushing all practice code to GitHub. Day 3 repository: https://lnkd.in/gHRhYzqe

Day 05 – OOPS Revision in Python Today I revised core Object Oriented Programming concepts in Python. Slowly things are getting more clear 💡 📌 Topics I practiced today: ✔ Instance, Class & Static Methods ✔ @property decorator ✔ Polymorphism & Operator Overloading ✔ Dunder methods (__add__, __sub__, __gt__) ✔ Inheritance & super() ✔ Small practice classes (Circle, Employee, Order, Complex numbers) Theory samajhne ke saath-saath code likhna bhi bahut help karta hai ✨ Still learning, still improving 💪 📂 Code uploaded on GitHub 👇 🔗https://lnkd.in/dM9RUHei If you’re also learning Python OOPS, feel free to check it out or share feedback 😊 #Python #OOPS #LearningByDoing #CodeDaily #StudentDeveloper #Revision

Ever wondered how to break down your age into decades and years using just two Python operators? My latest article explores the Floor Division (//) and Modulus (%) operators through a simple age calculator. The cool part? These operators aren't just for age calculations. They're used in: • Time conversions (seconds → hours:minutes:seconds) • Currency breakdown (bills and coins) • Pagination systems • Data distribution 📖 Read the full breakdown: https://lnkd.in/gb5HDjGT Following along with my Python revision journey? This is article #2 in my fundamentals series. Perfect for beginners or anyone refreshing their basics like me! Let's learn together! If you're new to Python or revisiting fundamentals, happy to connect. What's your favorite use case for the modulus operator? Share below! #Python #ProgrammingBasics #LearnPython #CodingTutorial #TechEducation #PythonFundamentals #LearningTogether

Most Python programs fail not because the logic is wrong, but because the code is not prepared for unexpected situations. Users give wrong inputs. Files go missing. APIs fail. Systems behave unpredictably. If your code crashes in these scenarios, that is not bad luck. That is missing exception handling. Exception Handling is what separates code that works in notebooks from code that survives in real-world applications. It helps you write programs that are stable, readable, and production-ready, rather than fragile scripts that break at runtime. 🎯 That’s exactly what the new video covers. I have just launched a new video under my Python Programming playlist, where I explain Exception Handling in Python in depth. We go beyond syntax and focus on:  ✅Why exceptions exist and how Python handles them  ✅How try, except, else, and finally actually work  ✅Common mistakes learners make Practical, real-world examples you will face in projects and interviews If you are learning Python seriously or aiming to write professional-grade code, this is a topic you cannot skip. 📌 Watch the video here: https://lnkd.in/gxBUcce6 Be intentional about the fundamentals. Strong basics always compound faster. #PythonProgramming #ExceptionHandling #LearnPython #CodingFundamentals #SoftwareEngineering #YouTubeLaunch