Python OOP Basics Classes Objects

🚀 Python Series – Day 19: Inheritance Scalable software development ke liye Inheritance ek important OOP principle hai. Aaj humne seekha: 👉 How child classes can reuse features of parent classes 📌 Key Highlights: ✔ Code reusability ✔ Better structure ✔ Easy maintenance 📌 Practical Use Cases: Software frameworks Role-based systems Shared functionality modules 💡 Practice Task: Create parent class Inherit child class Extend functionality 📈 Strong OOP basics = better developer growth 🔔 Follow Logic Gurukul for daily Python learning 💬 Comment "DAY19" for complete roadmap #Python #Programming #DataScience #AI #MachineLearning #Coding #LearnPython #TechSkills #CareerGrowth #LogicGurukul

🚀 Python Series – Day 19: Inheritance Scalable software development ke liye Inheritance ek important OOP principle hai. Aaj humne seekha: 👉 How child classes can reuse features of parent classes 📌 Key Highlights: ✔ Code reusability ✔ Better structure ✔ Easy maintenance 📌 Practical Use Cases: Software frameworks Role-based systems Shared functionality modules 💡 Practice Task: Create parent class Inherit child class Extend functionality 📈 Strong OOP basics = better developer growth 🔔 Follow Logic Gurukul for daily Python learning 💬 Comment "DAY19" for complete roadmap #Python #Programming #DataScience #AI #MachineLearning #Coding #LearnPython #TechSkills #CareerGrowth #LogicGurukul

📘 Python Learning – Day 9 Highlights 🐍 Today’s class introduced Object-Oriented Programming (OOP) concepts 👇 🔹 Class & Object: Class = blueprint, Object = real instance created from it 🔹 Creating Classes & Objects: Learned how to define a class and create multiple objects 🔹 __init__ Method (Constructor): Automatically runs when an object is created to initialize data 🔹 Attributes & Methods: ✔ Attributes → object data (name, age) ✔ Methods → functions inside class 🔹 Method Calling: Using object.method() to perform actions 🔹 Practice Examples: ✔ Student info system ✔ Bank account (deposit & balance) ✔ Simple class-based calculator 💡 Example: obj = ClassName() → creates an object Understanding how real-world concepts map into code step by step 🚀 #Python #OOP #Programming #Coding #LearningJourney #Beginner #TechSkills

🚀 Day 5 – Loops in Python | Write Once, Execute Many Times Today I explored one of the most powerful concepts in programming — Loops. Instead of repeating code manually, loops help automate tasks efficiently and make programs smarter. 🔹 Learned: ✔️ for loop → fixed iterations ✔️ while loop → condition-based execution ✔️ break → stops loop instantly ✔️ continue → skips current iteration 💡 Realization: Loops are not just about repetition… They are about efficiency, automation, and clean coding. 📌 The more I practice, the more I understand how important logic building is in programming. Consistency > Motivation 🔥 Ajay Miryala 10000 Coders #Python #CodingJourney #100DaysOfCode #Loops #Programming #Developers #LearnToCode #TechSkills #SoftwareDevelopment #CodeNewbie

#Ep 3 Building Strong #Python Foundations – #Course Update 🚀 Excited to share that I’ve added some core building blocks to my Python course! 👇 🔹 Python Operators Arithmetic, Comparison, Assignment Bitwise & Logical operators 👉 Writing cleaner and more efficient code 🔹 Loops in Python for loop & while loop Nested loops & control statements 👉 Automating repetitive tasks like a pro 🔹 Python History (Feature-wise) Evolution from basics to modern Python Understanding how features like async/await, type hints, and performance improvements came in 👨💻 Inspired by the journey of Guido van Rossum — from a simple scripting language to powering AI, web apps, and automation today. 🚀 Why this matters? Strong fundamentals = Better problem solving + Faster development github link : https://lnkd.in/gm7xmwmP #Python #Programming #Coding #SoftwareDevelopment #LearnToCode #PythonCourse #Tech #Developers

🚀 Day 8 of My 30-Day Python Journey Stepping into modular programming by learning how to write and use functions a major shift from basic scripting to structured development. 🔹 What I covered today: • Defining functions using def • Passing data through parameters • Returning results using return • Writing cleaner and reusable logic • Using default parameters and handling multiple outputs 💡 Key Takeaway: Functions are the backbone of scalable code. They reduce repetition, improve readability, and make programs easier to manage and debug. 🧪 Practice Focus: Built small programs like an even/odd checker, calculator function, factorial logic, and a dynamic greeting system all using functions. 📌 Next Step: Diving deeper into advanced function concepts and problem-solving to strengthen logic building. Learning to think in functions one step closer to writing real-world applications. 💻 #Python #CodingJourney #LearnToCode #Developers #Programming #TechGrowth #100DaysOfCode

🟥 𝗠𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 𝗢𝗢𝗣s 𝗦𝗺𝗮𝗿𝘁 𝗪𝗮𝘆 Most developers know OOP… but very few can actually use it with confidence. That’s where this guide helps 👇 Break down complex concepts into simple, practical understanding: 🔴 Classes & Objects 🔴 Inheritance 🔴 Polymorphism 🔴 Encapsulation 🔴 Abstraction 💡 Not just theory — real implementation that makes your code cleaner, smarter, and scalable. Whether you're a beginner or improving your coding skills — this is a must-read. 🔗 Read the full guide: https://lnkd.in/dPGvBAZT 📌 Save it. Learn it. Apply it. 👉 Follow KREMXA for more powerful learning content #KREMXA #kremxa #python #oop #codingjourney #developers #learntocode #upskilling #technology #mentor

Python Programming Mindmap Your Complete Learning Roadmap Python is one of the most powerful and beginner friendly programming languages, and this mindmap gives a clear overview of everything you need to master it step by step. 🔹 Basics Syntax, variables, data types, loops, and functions 🔹 Data Structures & Algorithms (DSA) Arrays, stacks, queues, trees, and sorting 🔹 Advanced Concepts Generators, decorators, regex, and functional programming 🔹 Web Development Frameworks like Django, Flask, and FastAPI 🔹 Automation Web scraping, file handling, and workflow automation 🔹 Testing Unit testing, integration, and performance testing 🔹 Data Science NumPy, Pandas, Matplotlib, TensorFlow, and PyTorch 🔹 OOP (Object-Oriented Programming) Classes, inheritance, and methods 💡 Whether you're a beginner or advancing your skills, this roadmap helps you understand how different Python concepts are connected. 📌 Save this for your learning journey and stay consistent! #Python #Programming #Coding #DataScience #MachineLearning #WebDevelopment #Automation #TechSkills #LearnPython #GenAI

🚀 Building a Strong Foundation in Python As part of my learning journey, I focused on understanding the fundamentals of Python, one of the most versatile and widely used programming languages. 🔹 Introduction to Python Understood what Python is and why it was created Explored its simplicity, readability, and wide range of applications in web development, data analysis, automation, and more 🔹 Core Concepts Covered Execution Flow – understanding how Python code is interpreted and executed Variables & Data Types – working with different types of data Typecasting – converting data from one type to another User Input – taking dynamic input from users 🔹 Control Flow Implemented conditional statements (if, else, elif) Practiced loops (for, while) for iterative operations 💡 Applied these concepts through practical examples to strengthen problem-solving and logical thinking skills. This foundation is helping me build confidence in programming and preparing me for more advanced topics ahead. Continuing to learn and grow step by step 💻 #Python #Programming #Coding #FullStackDevelopment #LearningJourney #WebDevelopment Vamsi Paidi

Day 59 of my #100DaysOfCode challenge 🚀 Today I implemented a Python program to count the number of set bits (1s) in a binary number. This uses an efficient bit manipulation technique and is very important in DSA & low-level optimization. What the program does: • Takes an integer n as input • Converts it conceptually to binary • Counts the number of set bits (1s) • Uses an optimized approach instead of checking each bit Example Outputs: 29 (11101) → 4 set bits 7 (111) → 3 set bits 16 (10000) → 1 set bit How the logic works: Uses Brian Kernighan’s Algorithm: n = n & (n - 1) • This removes the rightmost set bit in each step • Repeat until n = 0 • Count how many times this operation runs Why this is important: – Much faster than checking every bit ⚡ – Used in: Bit manipulation problems Competitive programming Low-level optimizations – Common in coding interviews Time Complexity: O(number of set bits) Space Complexity: O(1) Key Takeaways: – Understanding bitwise operations – Efficient counting techniques – Writing optimized solutions – Learning real-world low-level logic #100DaysOfCode #Day59 #Python #Programming #DSA #Algorithms #BitManipulation #Binary #CodingPractice #ProblemSolving #InterviewPrep #Optimization #DeveloperJourney #Consistency #BTech #CSE #AIandML #VITBhopal #TechJourney