📘 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
Python OOP Concepts and Class Creation
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I used to write code to solve problems… now I’m learning how to structure it. Today’s Python MahaRevision 🧩 Chapter 10: Object-Oriented Programming This chapter introduced concepts that actually make code feel organized: → Classes & Objects → Class attributes vs Instance attributes → Understanding “self” (this one took a moment to click) → init() constructor → @staticmethod At first, all these terms felt a bit overwhelming. But while doing the practice set, things started making more sense. Practice set done: Created classes, worked with objects, used constructors, and experimented with different types of methods. Biggest takeaway: Good code isn’t just about making it work… it’s about making it structured and reusable. Still learning, but definitely seeing growth. #Python #LearningInPublic #CodingJourney #Programming #OOP
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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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📘 Python Learning – Day 4 Highlights 🐍 Today’s class was about Lists & Basic List Operations — super useful for handling multiple data! 🔹 What is a List? An ordered, changeable collection that allows duplicates 🔹 Accessing Data: Indexing & slicing (list[0], list[1:4]) 🔹 List Operations: ✔ Add → append(), insert() ✔ Remove → remove(), pop(), clear() 🔹 Built-in Functions: len(), sum(), max(), min(), sort(), reverse() 🔹 Practice Program: Created a simple menu-driven program to add, remove, and display list items 💡 Lists make data handling easier and more dynamic in Python Step by step, getting more comfortable with coding 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills
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🚀Day 65 | Lambda Functions & Functional Programming Today I practiced Python lambda functions and their real-time usage - What I Worked On: •Created lambda function to find square of a number •Used lambda with sum() to calculate total of list elements •Applied sorted() with lambda to sort tuples based on index •Used math.sqrt() with lambda for square root calculation •Built lambda for adding two numbers 💡Key Learning: •Lambda functions help write short and clean code •Useful for one-line operations and quick logic •Powerful when combined with functions like sorted(), map() 👉🏻Small concepts like lambda can make code more efficient and readable Consistency is turning basics into strength #Day65 #Python #LambdaFunctions #FunctionalProgramming #ProblemSolving #CodingJourney #10000Coders #PythonDeveloper #SravanKumarSir
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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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🚀 Day 2 of My 30-Day Python Journey Building on the fundamentals, today was all about understanding how Python handles logic and user interaction. 🔹 What I explored today: • Working with operators arithmetic, comparison, and logical • Writing expressions to perform calculations and evaluate conditions • Taking dynamic user input and converting data types • Improving output formatting using clean and readable approaches 💡 Key Takeaway: Programming isn’t just about writing code it’s about thinking logically. Operators and input handling form the backbone of decision-making in any application. 🧪 Practice Focus: Created small programs like a basic calculator and an even/odd checker to reinforce concepts. 📌 Next Step: Moving into conditional statements and control flow to build more intelligent programs. Consistency and clarity are the goal. Let’s keep progressing. 💻 #Python #CodingJourney #LearnToCode #Developers #Programming #TechGrowth #100DaysOfCode
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🚀 Day 9 of My Python Learning Journey Today, I worked on building two Python programs that helped me strengthen my fundamentals 💻 🧠 Mini Project 1: Student Percentage Calculator 📊 💡 What I learned & implemented: Taking user input Performing calculations Using type conversion (int) Formatting output using f-strings ✔ The program calculates percentage based on marks entered by the user 📌 Sample Output: "The result of Vinayak is 96.67% Well Done!" 🧠 Mini Project 2: User Data Collection using Dictionary 🧾 💡 What I learned & implemented: Creating and using dictionaries Storing multiple data types (string, int, float) Taking structured user input ✔ The program stores user details in a dictionary format 📌 Sample Output: {'name': 'vinayak', 'age': 34, 'Height': 5.11, 'student': 'yes'} 🔍 Key Learning: Understanding how to take input, process it, and store it efficiently is the foundation of programming and data analytics. 💭 Building small projects like these is helping me gain confidence and think logically step by step. Excited to keep learning and growing every day 🚀 #Python #LearningJourney #DataAnalytics #100DaysOfCode #Beginner #Coding
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🚀 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
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🚀 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
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🚀 Python for Beginners – Complete Learning Guide If you're starting your journey in programming, Python is one of the best languages to begin with. Here’s a structured roadmap to get you started 👇 🔹 Introduction to Programming & Python 🔹 Installation & Setup (VS Code, Python) 🔹 Writing Your First Program (Hello World) 🔹 Variables & Data Types 🔹 Type Casting & User Input 🔹 Operators & Conditional Statements 🔹 Functions & Arguments 🔹 Strings & String Methods 🔹 Loops (For, While, Nested Loops) 🔹 Data Structures (Lists, Tuples, Sets) 💡 Python is: ✔️ Easy to learn ✔️ Beginner-friendly ✔️ Highly in-demand ✔️ Widely used in Data Science, AI, Web Development 📌 Consistency is the key—practice daily and build small projects. Follow Gowducheruvu Jaswanth Reddy for more content #Python #Programming #Coding #Beginners #DataScience #Learning #CareerGrowth
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