📆 Day 220 & 221 Days 🚀 Spent these two days strengthening my core understanding of Python OOP concepts by practicing and solving multiple problems. Focused on key areas like classes, objects, constructors, inheritance, encapsulation, and method design, while also trying to apply them in real-world-style problems rather than just theory. 🙌 Worked on improving code structure, readability, and thinking in an object-oriented way, which is important for writing scalable and maintainable applications. These sessions were more about building strong fundamentals and problem-solving mindset rather than rushing into advanced topics. Consistent practice like this is helping me become more confident with Python and preparing me for building better projects ahead. #Python #OOP #ObjectOrientedProgramming #CodingPractice #ProblemSolving #Developers #Programming #SoftwareEngineering #CodeDaily #TechJourney #Learning #BuildInPublic #Consistency #StudentDeveloper #FutureEngineer #CodingLife #DeveloperJourney #PythonProgramming #DSA #TechSkills
Strengthening Python OOP Fundamentals through Practice
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Advanced Python 2026 (Part 5) is Live: Inheritance & Encapsulation Writing code that works is one thing. Writing code that is reusable, scalable, and secure is another. In Part 5 of the Advanced Python 2026 series, we dive deeper into Object-Oriented Programming by exploring: • Inheritance → Reuse code and reduce duplication • Encapsulation → Protect and control your data These concepts are essential for building real-world systems—from backend applications to enterprise software. If you're serious about becoming a better developer, this is a key step forward. Read Part 5 here: https://lnkd.in/eAbjRmks #Python #Programming #JMSM #KNKA #SoftwareDevelopment #OOP #Coding #Developers #TechEducation #CleanCode #Python2026
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🚀 Day 152 of My Coding Journey Today, I practiced a useful concept in Python — filtering data using higher-order functions. 💡 Problem: Given a list of strings and a number N, return only those strings whose length is greater than N. 🔍 What I learned: - How to use the "filter()" function effectively - Writing custom functions for conditions - Cleaner and more readable data filtering techniques 🧠 Key takeaway: Using built-in functions like "filter()" makes code more concise and Pythonic compared to traditional loops. 📌 Example Output: ['prasda', 'kgf2', 'jcgfggghjllkj'] Consistency is the real game changer. Small steps every day lead to big improvements over time. 💯 #Day152 #Python #CodingJourney #100DaysOfCode #Programming #Learning #Developers Rudra Sravan kumar Sagar Bomburi 10000 Coders
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🚀 Day 5 of My Python Learning Journey Today, I focused on making my programs more robust and practical 🐍 Here’s what I explored: ✔️ File Handling (File I/O) – working with files efficiently ✔️ Exception Handling – handling errors using try-except ✔️ Writing safer and more reliable code This session helped me understand how real-world applications deal with unexpected situations and manage data effectively. Learning how to handle errors properly is a game-changer for writing professional-level code 💡 Step by step, I’m improving not just my coding skills, but also how I think as a developer. On to the next challenge 🚀 If you have any tips or real-world project ideas, feel free to share 🙌 #Python #ExceptionHandling #FileHandling #Day5 #LearningJourney #Coding #Programming #Growth
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📘 Python Learning – Day 10 Highlights 🐍 Today’s class explored deeper into OOP & Modules 👇 🔹 Inheritance: Child class can reuse attributes & methods from parent class → cleaner & reusable code 🔹 Method Overriding: Child class can modify parent’s method based on its own behavior 🔹 Modules in Python: Organizing code into separate files and reusing functions/classes 🔹 Built-in Modules: Used modules like math and random for real tasks 🔹 Advanced Concept: Used super() to call parent class constructor 💡 Example: class Child(Parent): → inheritance in action Step by step, moving towards more structured and professional coding 🚀 #Python #OOP #Programming #Coding #LearningJourney #Beginner #TechSkills
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🚀#120DaysChallenge of Python Full Stack Journey Hello everyone, I’m Lakshmi Sravani 😊 #120DaysChallenge #50Day - OOP Concepts in Python Today I explored some important Object-Oriented Programming concepts with hands-on examples: 📌 Class Variables & Objects Understood how class variables behave when accessed and modified using class references. 📌 Method Overriding (Inheritance) Learned how child classes override parent class methods and how Python follows method resolution. 📌 Multiple Inheritance & MRO Explored how Python resolves methods when multiple parent classes are involved. 📌 Abstraction (Abstract Classes & Methods) Worked with abc module to define abstract classes and enforce method implementation in child classes. 💡 Key Takeaway: OOP concepts like inheritance, polymorphism, and abstraction help in writing clean, reusable, and scalable code. #Python #OOP #LearningJourney #Coding #FullStackDevelopment
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🚀 Day 1/5 – Building, not just learning. Started a 5-day intensive program on Full Stack Development & Advanced DSA with Java. Instead of just going through theory, I focused on applying the basics immediately. 🔸 Learned today: Python fundamentals — variables, operators, conditional logic, and how programs actually flow. 🔸 Built: A simple Transaction System with: ✔ Deposit ✔ Withdrawal ✔ Balance Check ✔ Transaction History Faced issues with input handling and logic flow fixed them through debugging and iteration. 🎥 Sharing the execution below. This is just the start. The goal isn’t to complete a course it’s to build real problem-solving ability. #FullStackDevelopment #Python #DSA #BuildInPublic #LearningByDoing #Coding
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📆 Day 230 of 365 days 🚀 Learned more about Python libraries, virtual environments (venv), and pip. Focused on understanding how to properly manage dependencies, create isolated environments, and install packages efficiently. This is crucial for building real-world projects without conflicts between libraries or versions. Also explored how libraries make development faster by reusing existing solutions instead of building everything from scratch. Building these fundamentals will make future AI and development projects much smoother and more structured 🚀 #Python #Libraries #Pip #VirtualEnvironment #Venv #Programming #Developers #TechJourney #BuildInPublic #Learning #SoftwareEngineering #AI #MachineLearning
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#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
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Diving deeper into Python fundamentals today! I explored how functions can be made more flexible using default arguments and variable-length parameters like *args and **kwargs. Also strengthened my understanding of how Python manages data using local and global variables. Key Takeaways: Default Arguments simplify function calls *args allows multiple inputs **kwargs handles dynamic key-value data Functions, Modules & Libraries structure code efficiently Local vs Global variables define scope and accessibility Small concepts, big impact when building scalable programs #Globalquesttechnologies #GR Narendra Reddy #Python #Coding #Programming #Developers #100DaysOfCode #Learning Journey #TechSkills #Software Development
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📘 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
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