OOPS Fundamentals: Encapsulation, Inheritance, Polymorphism, Abstraction

Python support is here! 🎉 With Moderne, you can now automate: 🐍 Python version and runtime upgrades across your estate 🔗 Dependency standardization and CVE remediation at scale 🌐 Polyglot campaigns spanning Java, Spring, and Python Moderne analyzes your code semantically and delivers review-ready PRs in your existing workflows. Enterprise-scale Python modernization is achievable with Moderne. Ready to see it in action? Schedule a demo or learn more in our documentation. https://lnkd.in/g6RAQaZw #Python #DevOps #SoftwareModernization #Moderne #OpenRewrite

Modern Python applications must efficiently handle thousands of concurrent operations. In my latest Medium article, “Asyncio Deep Dive,” I explore how Python’s asynchronous programming model—powered by event loops, coroutines, and async/await—helps developers build scalable, high-performance systems for APIs, data pipelines, and distributed platforms. If you're working with modern Python architectures, this deep dive will help you understand how to design faster and more efficient applications. #Python #Asyncio #SoftwareEngineering #BackendDevelopment #ScalableSystems #APIDevelopment #Concurrency #Programming #TechLeadership

Day- 8 🚀 Object-Oriented Programming (OOP) Object-Oriented Programming in Python helps build scalable, reusable, and maintainable software by organizing code around real-world entities. Using core concepts like Classes, Objects, Inheritance, Encapsulation, and Polymorphism, Python enables developers to write clean and efficient applications. OOP improves: ✔ Code readability ✔ Modularity and reusability ✔ Easier debugging and testing ✔ Long-term project maintainability #Python #OOP #ObjectOrientedProgramming #PythonDeveloper #SoftwareEngineering #Programming #CodingSkills #TechLearning #CleanCode

How to run modern image generation models on Apple Silicon using Java, Project Panama, and native inference. No Python stack, no sidecars. https://buff.ly/2l57gVf

🚀 Introducing Hapi: High-Performance API Development! This repository provides a streamlined and efficient framework for building scalable Python applications with a focus on speed and modularity. Designed for developers who need to bridge the gap between complex backend logic and seamless frontend integration. Explore the repository and get started here: https://lnkd.in/g4QrXXDD #Python #FastAPI #WebDevelopment #Backend #OpenSource #SoftwareEngineering #Hapi

💡 REST API Mistakes Developers Make Most developers focus on making APIs work. Few focus on making them scalable. Common mistakes I’ve seen: • No proper error handling • No input validation • Poor naming conventions • No logging • No versioning Clean API design saves future headaches. #RESTAPI #Backend #Python

How to Connect SQL With Python (Without Breaking Trust or Your Data) Written by $DiligentTECH⚔️ If you can measure a correlation, you can build a connection. Let's find out:- https://lnkd.in/dG2aMwyz @Diligent ICT Solutions Production 2026💀

Day-28 | #100DaysOfCodeChallenge Hi everyone, Today’s session focused on Introduction to Object-Oriented Programming (OOPS). I learned about organizing descriptions using properties and templates, bundling data through Encapsulation, and understanding Classes, including their definition and instances of a class. These concepts are helping me understand how to structure programs more efficiently and build reusable code. #NxtWave #CCBP #100DaysOfCodeChallenge #LearningJourney #Python #ObjectOrientedProgramming #TechFoundations #Consistency 

Python Core – Structured Notes: Structured Python core notes covering fundamentals along with practical automation-oriented concepts. The material includes: • Data types & control structures • Functions, modules & packages • LEGB scope rule • CLI arguments & environment variables • pip & external packages • DevOps-oriented use cases • Best practices & interview-focused concepts Sharing this structured reference for anyone who finds it helpful. Hashtags: #Python #Automation #Scripting #DevOps #ContinuousLearning

🚀 Python Multithreading in Action 🧵⚡ Today I practiced Multithreading in Python using the threading module. 🔹 Created two thread classes 🔹 Overrode the run() method 🔹 Executed tasks simultaneously using .start() 💡 What I Learned: ✅ Threads run concurrently ✅ start() internally calls run() ✅ sleep() controls execution timing ✅ Output may interleave because threads execute in parallel 🧠 Code Concept: Class A(Thread) → prints "Hello" Class B(Thread) → prints "Pune" Both threads run 5 times with a 2-second delay Output runs simultaneously ⚡ This is the power of concurrent execution in Python. 🔥 Why Multithreading? ✔ Improves performance ✔ Best for I/O-bound tasks ✔ Used in real-world apps like: Web servers 🌐 Background processing ⚙ APIs 🔄 💬 Small practice today… 🏆 Big step towards becoming an Advanced Python Developer. #Python #Multithreading #Threading #AdvancedPython #CodingJourney #WomenInTech #MCA #LearningDaily