Encapsulation in Python OOP

Assalamualaikum everyone, Building strong fundamentals is the key to success in programming. In this video, I’ve explained Python Data Types in a clear and beginner-friendly way, covering integers, floats, strings, and boolean values along with simple examples. I’ve also discussed type checking using type() and basic concatenation to help beginners understand concepts easily. If you’re starting your Python journey, this will give you a solid foundation. 🔗 Watch the full video here: https://lnkd.in/df-b-mk2 I would truly appreciate your feedback and support. #Python #Programming #DataScience #Learning #Beginners #Coding

Day 4/30 – Exploring Python concepts Today I spent some time learning important Python concepts like loops, lists, tuples, and dictionaries. Loops help us repeat tasks efficiently instead of writing the same code multiple times. Lists and tuples allow us to store multiple values in a single variable, making data easier to manage. Dictionaries help organize data in a key-value format, which makes accessing information faster and more structured. Understanding these concepts helped me see how Python can be used to handle data and automate tasks in a much simpler way. Each small concept I learn is helping me build a stronger foundation in programming. Excited to keep learning and improving every day. ✨ #Day4 #30DaysOfPosting #PythonLearning #CodingJourney #ProgrammingBasics #LearningJourney

🚀 Day 2 of Learning Python OOPToday I explored one of the most important concepts in Object-Oriented Programming.🔹 Learned about the "__init__" constructor🔹 Understood how "self" works🔹 Difference between Class Variables and Instance Variables💡 Key takeaway:"self" represents the current object, and it helps each object store its own data separately.🧪 Practice:Created a Mobile class with brand and colour, and instantiated multiple objects with different values.Small progress every day leads to big results 💪#Python #OOP #CodingJourney #LearnInPublic #100DaysOfCode

🔁 Python Revision – Functions Continuing my Python learning journey 🐍 In this session, I focused on: ✔️ Functions and their importance ✔️ Function definition and calling ✔️ Parameters and return values ✔️ *args and **kwargs basics Functions are helping me write more structured, reusable, and clean code instead of repeating logic. A big thanks to Krish Naik for his amazing content and clear explanations, which made these concepts much easier to understand 🙌 Documented my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Now moving towards applying these concepts in real-world problems 📊 Next: working with real datasets and mini projects 🚀 #Python #Functions #LearningJourney #DataAnalytics #Coding #KrishNaik

🔁 Python Revision – Conditional Statements Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ if statements ✔️ if-else conditions ✔️ elif ladder ✔️ Nested conditions Practiced writing logic-based programs using conditions, which is essential for decision-making in code. Documented my learning in a Jupyter Notebook and shared it as a PDF to track my progress. Building strong logic step by step 💡 Next: loops and more problem-solving practice 🚀 #Python #Revision #Programming #Coding #LearningJourney #DataAnalytics

🚀 Day 12/30 – Python Challenge Learning how to work with dictionaries in Python! 🐍 🔹 Key Concepts Covered: * Creating dictionaries using key-value pairs * Accessing values using keys * Adding new data dynamically * Iterating through dictionary using items() 💻 Mini Task: Created a student dictionary, accessed specific details, added a new key-value pair, and displayed all data using a loop. 🎯 Learning Outcome: Understood how dictionaries help store structured data and make it easy to manage real-world information like student records. Improving my data handling skills step by step 📊 #Python #CodingChallenge #LearningJourney #DataStructures #StudentDeveloper #Day12

🚀 **Day 6 of My Python Learning Journey** Today, I learned about **Conditional Statements** in Python, which help in decision-making within programs. This learning is part of a **Skill Course**, guided by **Mr. Satish Dhawale**. The concepts were explained in a clear and practical way. 🔹 Key Takeaways: * Understanding `if`, `elif`, and `else` * Writing decision-based programs * Using comparison and logical operators in conditions * Creating real-life problem-based logic Step by step, building logic and improving problem-solving skills in Python. #Python #LearningJourney #Programming #SkillCourse #Day5 #Coding #DataAnalytics

🚀 Day 6 of My Python Learning Journey Today’s focus was on Functions in Python — one of the most important concepts for writing clean and reusable code ✨ 🧠 What I learned today: ✔️ How to define functions using "def" ✔️ Difference between built-in and user-defined functions ✔️ Parameters and return values ✔️ Lambda (anonymous) functions ✔️ Basics of recursion 📒 I also created handwritten notes to better understand and remember the concepts — writing things down really helps me learn faster! 💡 Key takeaway: Functions make code more organized, reusable, and easy to debug. Here’s a simple example from today’s practice: def add(a, b): return a + b print(add(2, 3)) 📌 Sharing my handwritten notes below 👇 (helps in quick revision!) #Python #CodingJourney #LearningByDoing #StudentLife #100DaysOfCode #Programming

🚀 Sharing My Python Learning Journey Hey everyone! I’ve started documenting my Python learning in a structured way and uploading it on GitHub. 📌 This repository includes: Basic Python concepts Simple explanations Easy-to-understand notes for revision 🔗 GitHub Repo: https://lnkd.in/gPiDJVnV I’ll be continuously updating it as I learn more (loops, functions, APIs, backend, etc.). If you're a beginner, this might help you too! And if you have suggestions, feel free to share 🙌 #Python #LearningInPublic #100DaysOfCode #BackendDevelopment #CodingJourney

Day 19 of My Python Learning Journey 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 #LearningJourney #TechSkills #SoftwareDevelopment