👨💻 As a dev, what do you prefer for backend? 🚀 Choosing the right backend framework can make or break a project. Here’s a quick look at the powerhouses shown in the image: #Rust: Known for extreme performance and memory safety without a garbage collector. #Django: The "batteries-included" Python framework, perfect for rapid and secure development. #Ruby (on Rails): Focused on developer happiness and convention over configuration. #Spring Boot: The industry standard for building robust, enterprise-grade Java applications. #Laravel: An elegant PHP framework with a rich ecosystem and beautiful syntax. #ASP.NET: Microsoft’s powerful framework for building high-performance web apps. #Flask: A lightweight and flexible Python micro-framework. #Express.js: The minimalist and fast standard for Node.js developers. #FastAPI: Modern, high-performance Python framework based on standard type hints. #Phoenix: Built on Elixir, it’s designed for high-concurrency and real-time features. #Gin: A high-performance HTTP web framework written in Go (Golang). #NestJS: A progressive Node.js framework for building efficient and scalable server-side apps using TypeScript. Every tool has its own strengths depending on the use case whether it’s speed, scalability, or developer experience. Which one is your go-to choice for your current projects? Let’s discuss in the comments! 👇 -Bashitha Weerapperuma #BackendDevelopment #SoftwareEngineering #Coding #Programming #WebDev #TechCommunity #BashithaWeerapperuma #backend #server

Django and React. People think it is an odd combo. It is actually one of the cleanest I have worked with. And I say that as someone who loves Node. Node is my go to. I have built a lot with it and I genuinely enjoy working in it. But there are times on a project where Django just makes more sense for the backend and I have learned not to fight that. Django handles auth, business logic, APIs and the database layer in a way that is hard to argue with. Django REST Framework on top gives you a clean API that React can consume without any of the complexity bleeding through. The Python ecosystem is mature, well documented and the admin panel alone has saved me hours on more than one project. React does what it does best on the frontend. UI, state, user experience. Clean and focused. The moment you stop thinking about the language difference and start thinking about which tool does the job best it stops feeling odd and starts feeling obvious. I am a Node developer. But I am also a developer who picks the right tool for the right problem. And sometimes that tool is Django. Anyways that's my two cents. Are you running React with a non Node backend? What made you go that route? #Django #React #NodeJS #Python #FullStack #WebDevelopment #TechLead #SoftwareEngineering #Sydney

Just launched my Job Portal Web App — built with Python & Django! After learning the fundamentals of Django, I challenged myself with a more complex, real-world project. This is a full-stack job portal where recruiters and job seekers can each log in and use the platform in completely different ways. What I built: → Role-based authentication (Recruiter vs Job Seeker) → Recruiter: post, edit & delete job listings + view applicants → Seeker: browse jobs, search by keyword, filter by category & apply with resume → Custom company & seeker profiles with file/image uploads → Application tracking — seekers can view all their submitted applications 💡 What I learned: ✅ Custom AbstractUser model with role-based logic ✅ ForeignKey & OneToOne relationships between models ✅ Handling file & image uploads (Pillow) ✅ Dynamic search & filtering using Django Q objects ✅ Login-protected views with @login_required ✅ Building reusable base templates 🛠 Tech Stack: Python | Django 6 | SQLite | Pillow | Bootstrap 🌐 Live Demo: https://lnkd.in/grdnutUS 🔗 GitHub: https://lnkd.in/gku2SUfj This project pushed me to think like a real developer — handling multiple user types, protecting routes, and managing data relationships. It's not perfect, but it works, and I learned a ton! If you're learning Django or web development, I'd love to connect and grow together. Drop a comment or DM me! 👇 #Python #Django #JobPortal #WebDevelopment #LearningInPublic #BackendDevelopment #BuildInPublic #PythonDeveloper #100DaysOfCode

🚀 Async Programming in Laravel vs Node.js vs Python vs Java Handling tasks asynchronously is key to building fast and scalable apps. Here’s how different technologies handle async 👇 🔹 Laravel (Queues) SendEmailJob::dispatch(); 🔹 Node.js await sendEmail(); 🔹 Python await send_email() 🔹 Java CompletableFuture.runAsync(() -> {}); ⚖️ Comparison 🔹 Laravel • Async via Queues   • Good performance   • Best for background jobs   🔹 Node.js • Native async (event loop)   • Very fast   • Best for APIs & real-time apps   🔹 Python • Asyncio (event loop)   • Fast   • Best for IO & data tasks   🔹 Java • Multithreading   • Very fast   • Best for enterprise systems   💡 Choose based on your use case — not hype. #Laravel #NodeJS #Python #Java #Async

📘 What I Learned About REST APIs as a Python Developer 🚀 While working on backend projects using Django and FastAPI, I gained a strong understanding of REST APIs. Here are some key concepts I learned: 🔹 REST API follows a client-server architecture 🔹 Uses HTTP methods like GET, POST, PUT, DELETE 🔹 JSON is commonly used for data exchange 🔹 Helps in building scalable and modular applications 💡 One important lesson: Designing clean and well-structured APIs makes development and testing much easier. I am continuously improving my backend development skills and building real-world projects. 🚀 Open to opportunities as a Python Developer / Backend Developer #PythonDeveloper #RESTAPI #BackendDeveloper #LearningJourney #OpenToWork

“Don’t apply to jobs outside your stack.” That’s what I almost did. I saw a role asking for Go and Angular.   I didn’t know either. One of my first thoughts was:   “better not even try” We’re taught to define ourselves by our stack:   “I’m a React dev”   “I’m a Java dev”   “I’m a Python dev” As if that’s the job. But it’s not. Stack is just a tool. And when you depend on the tool to function, it doesn’t work (we're seeing this in this AI era). Because the moment:   → the stack changes   → the project changes   → the context changes  You freeze without knowing what to do. So I applied anyway. And the most interesting part? Learning the language is the easy part. What’s hard and what actually matters is:   → understanding the problem   → making good decisions   → building something that works  And that doesn’t change with the stack. You’re not paid for the language you use. You’re paid for the problems you solve.

This visual highlights the core responsibilities of a Django developer, focusing on building scalable, secure, and efficient web applications. It covers the complete workflow—from understanding requirements and designing systems to writing clean code, testing, optimizing performance, ensuring security, deploying applications, and maintaining them. A strong Django developer not only codes but also follows best practices, continuously learns, and delivers reliable solutions for real-world problems. #Django #Python #WebDevelopment #BackendDeveloper #FullStackDeveloper #Coding #SoftwareDevelopment #CleanCode #TechCareers #DeveloperLife #Programming #ITJobs

One thing I’ve learned while working as a Full Stack Developer: Building features is easy. Building them well is where the real challenge is. Over the past 2+ years, I’ve been working mainly with JavaScript (React, Next.js, Node.js, Express, NestJS) and a bit of Python (Flask, FastAPI). A few things that made a real difference in my work: • Writing code that other developers can actually understand • Structuring backend APIs properly instead of “just making it work” • Thinking about performance early (not as an afterthought) • Debugging skills > knowing syntax Still learning every day, but focusing more on writing cleaner, scalable code. What’s one thing that improved your development workflow recently? #javascript #reactjs #nodejs #fullstackdeveloper #webdevelopment

DON’T CHASE TRENDS. SOLVE PROBLEMS. In software engineering, it’s easy to get distracted by the "shiny new toy." But over the years, working across various stacks, I’ve realized something: The tool is secondary to the solution. Whether I'm working with: PHP (Laravel, CodeIgniter) Python (Django, Flask) Java (Spring) even JavaFX JavaScript (Frontend and Backend) Databases (MySQL, PostgreSQL, NoSQL) ...the fundamental challenges remain the same. What actually matters isn't the syntax you're writing today; it’s: SYSTEM STRUCTURE: Is the foundation solid? MAINTAINABILITY: Can you (or someone else) understand this in six months? COLLABORATION: Is the code written for humans, not just machines? Clean architecture > Shiny tools. Every single time. #SoftwareEngineering #CleanCode #SystemDesign #BackendDevelopment #ProgrammingLife #SoftwareDevelopment

🚀 Java vs Python – Full Stack Development ⚡ Choosing between Java and Python for full-stack development? Here’s a quick comparison to help developers make the right choice. 💡 Java Full-Stack ✔ Strongly typed & scalable ✔ Best for enterprise applications ✔ Popular frameworks: Spring Boot, Spring MVC 💡 Python Full-Stack ✔ Simple & beginner-friendly ✔ Fast development & prototyping ✔ Popular frameworks: Django, Flask 🔧 Common Skills Required ✔ Frontend: HTML, CSS, JavaScript (React / Angular) ✔ Database: MySQL, PostgreSQL, MongoDB ✔ Version Control: Git & GitHub ✔ Deployment: AWS, Heroku 🔥 Both are powerful — the best choice depends on your project needs and career goals. 👨💻 As a developer, I’m exploring and building with both technologies to strengthen my full-stack skills. 💬 Which one do you prefer – Java or Python? #FullStackDevelopment #Java #Python #WebDevelopment #SoftwareDeveloper #SpringBoot #Django #ReactJS #CareerGrowth #Developers