💡 Understanding Abstraction in Python (OOP Concept) Abstraction is one of the key pillars of Object-Oriented Programming. It focuses on hiding implementation details and showing only essential functionality to the user. In these slides, I explored: ✅ What Abstraction is ✅ Creating Abstract Classes using ABC ✅ Using @abstractmethod in Python ✅ Implementing abstract methods in child classes ✅ Real-world examples like Bank systems and College departments Abstraction helps developers build clean, scalable, and maintainable applications. Every day I'm improving my Python OOP concepts step by step. 💻 #Python #OOP #Abstraction #PythonProgramming #CodingJourney #SoftwareDevelopment #LearningInPublic

While revisiting Python fundamentals, I implemented a simple Hangman game in Python. The goal was to strengthen my understanding of core programming concepts such as: • Functions and modular program structure • Loops and conditional logic • Managing program state (correct vs missed guesses) • Handling user input and duplicate guesses • Implementing win/lose logic One interesting challenge was detecting the win condition for words with repeated letters (e.g., APPLE). I solved this by comparing the unique letters in the secret word with the letters guessed by the player. Code available on GitHub: https://lnkd.in/gbkT8FAj Small exercises like this are a great way to reinforce programming logic before applying Python to more complex data analysis and modeling problems. #Python #Programming #DataScience #CodingJourney #LearnInPublic

#SoftwareDevelopment #Pytohn #Fundamentals #DesignPatterns To learn Python fundamentals, I implemented several design patterns using object-oriented programming in Python. Covered design patterns: - Adapter  - Chain_of_responsibility - Composition - Decorator - Façade - Factory - Observer - Proxy - Singleton - Strategy - Template A mini project that brings together some design patterns: simulation_of_a_shopping platform Repository link: https://lnkd.in/eF6whBha

📚 New article just published on SYUTHD! 🔖 Python 3.14 No-GIL Performance: How to Build Truly Parallel Multi-Core Applications 🏷️ Category: Python Programming 📖 Full article → https://lnkd.in/gDp8_fNq 👉 Follow our page for more tech tutorials: https://lnkd.in/gsJDptPM 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #PythonProgramming #Tech #Tutorial #Programming #TechBlog #2026

📚 New article just published on SYUTHD! 🔖 Python 3.15 and the End of the GIL: How to Write True Multi-Core Threaded Applications 🏷️ Category: Python Programming 📖 Full article → https://lnkd.in/gTMihGXT 👉 Follow our page for more tech tutorials: https://lnkd.in/gsJDptPM 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #PythonProgramming #Tech #Tutorial #Programming #TechBlog #2026

🌟 New Blog Just Published! 🌟 📌 Master Python Async Programming: A Beginner’s Guide to Faster Code 🚀 📖 Most Python scripts spend a lot of time staring at the network or disk. While they wait, the CPU sits idle, doing nothing useful. Open your editor now, then keep reading. If you ignore this, your app.... 🔗 Read more: https://lnkd.in/dN8iKgge 🚀✨ #pythonasync #asyncio #io-bound

🐍 Day 43 — Why Libraries Matter in Python Day 43 of #python365ai 📚 Python’s real power comes from its libraries — collections of reusable code that solve complex problems efficiently. Examples: Data analysis Visualisation Machine learning Automation 📌 Why this matters: Libraries save time and allow you to build professional solutions without reinventing the wheel. 📘 Practice task: Search for one Python library related to your interest and note what it’s used for. #python365ai #PythonLibraries #Programming #LearnPython

* Day 14: Abstraction in Python Continuing my OOP journey, today I explored Abstraction one of the core pillars of Object-Oriented Programming. * Abstraction helps us hide complex implementation details and focus only on essential functionalities. It makes our code more secure, scalable, and easier to maintain. * Real-world systems like ATM machines are great examples we use them without knowing their internal working. * Key Takeaways: - Focus on "what" instead of "how" - Use Abstract Classes and Methods - Improves code structure and readability Consistency is the key learning something new every day #Python #OOP #Abstraction #CodingJourney #Day14 #LearningInPublic

🎥 Simple Calculator | Python Project Demo CodSoft In this video, I am demonstrating my Simple Calculator application developed using Python. This is a menu-driven program that performs basic arithmetic operations such as addition, subtraction, multiplication, and division. I implemented Object-Oriented Programming concepts by creating a Calculator class with separate methods for each operation. The program also includes input validation using try-except and handles special cases like division by zero to ensure smooth execution. This project helped me strengthen my understanding of Python fundamentals, OOP concepts, loops, conditionals, and exception handling. I am continuously building practical projects to improve my problem-solving and development skills. 🚀 #Python #OOP #Coding #BeginnerProjects #CodeSoft #SoftwareDevelopment #LearningJourney

Worked on Python control flow fundamentals today: if–else for decision-making login while loops for condition-based repetition These constructs define how programs branch and iterate. Practiced small examples to understand execution flow and edge cases (true/false conditions, loop termination). Next: apply these in short scripts (input validation, counters, simple simulations). #Python #ProgrammingBasics #ControlFlow #LearningInPublic #BTech #Day6