Flutter with Spring Boot & Python Backend Development Flow

Just wrapped up learning the fundamentals of Django REST Framework! Coming from a basic Django background, I always wondered how mobile apps and frontends communicate with the backend… Now it finally makes sense thanks to REST APIs. Key takeaways: REST = a standard way for systems to communicate using HTTP Serializers = the bridge between Python objects and JSON ModelSerializer → best for quick CRUD operations Serializer → useful for custom logic like login, validation, and complex data What excited me most: Understanding how real-world apps (like Flutter or React apps) connect with Django backend using APIs. It gave me a clear picture of how scalable applications are built. Next step: Planning to integrate REST APIs into my projects and build a complete end-to-end application. #Django #DjangoRESTFramework #WebDevelopment #BackendDevelopment #Python #LearningJourney #FresherDeveloper

📘 Day 2 of Learning Django Today I learned about Django Project & App structure 🚀 💡 Real-life problem: Many small businesses struggle to manage their products and orders in an organized way. 👉 With Django, we can create separate apps like products, orders, and users inside one project to keep everything structured and easy to manage. ❓Have you ever faced such a problem or tried solving it with code? #Django #Python #WebDevelopment #LearningJourney

Coming from Node.js, I was so used to the comfort of "npm run dev". One command, and everything just works. Then I moved deeper into Python and realized something: running scripts can feel a bit more manual at first. No built-in "npm run dev" vibe. No instant “just start the app” flow. Just different ways of structuring and launching things. So I had to find easier, cleaner ways to run Python projects without making startup messy. That is why patterns like this matter: - a single entry script - clear dev vs prod modes - one place to manage how the app starts - less repetitive terminal work This may look small, but it makes Python feel much more approachable, especially for developers coming from JavaScript/Node. The lesson for me was simple: every ecosystem has its own rhythm. Once you learn the rhythm, the workflow becomes smoother. And honestly, that is part of the fun of growing as a developer. #NodeJS #Python #BackendDevelopment #SoftwareEngineering #WebDevelopment #Programming #DeveloperExperience #CleanCode #FastAPI #Uvicorn #TechJourney #LearningToCode

🚀 Getting Started with Django Made Simple! If you're stepping into the world of backend development, Django is one of the best frameworks to begin with. 📌 This visual breaks down: ✔️ Django project & app structure ✔️ Essential commands to create and run your app ✔️ Quick understanding of how things connect behind the scenes. #Django #Python #WebDevelopment #BackendDeveloper #CodingJourney #TechLearning #Developers #Programming

🚀 From building locally to deploying a full Django web app! I developed a Movie Review & Management System where users can add, update, and explore movies with ratings, genres, and poster images. ✨ Highlights: • CRUD operations for movie management • Image uploads using Cloudinary • Search & genre-based filtering • Recently viewed feature using cookies ☁️ Deployed on Render with proper production configuration. 🔗 Live Demo: https://lnkd.in/g4kbfsV8 #Django #Python #WebDevelopment #FullStack #Backend #Projects

Ever wished Python had a Dependency Injection / Service Locator framework as simple and intuitive as Koin in Kotlin or GetIt in Flutter? 📱 After building multiple mobile apps, I kept missing that elegance in Python 🐍, so I decided to create it myself. I created a Python Dependency Injection Framework as an open-source project 🛠️ to simplify dependency management without adding unnecessary abstraction or hidden behavior. This project focuses on: - explicit over implicit design ✨ - minimal and predictable API ⚡ - improved modularity and testability ✅ Dev logs: - Started from a minimal service locator, then iteratively refined the API by removing anything that felt implicit or “magical” 🔄 - Reworked service resolution multiple times to keep behavior predictable under edge cases 🔧 - Focused heavily on type hints and structure to make usage self-documenting 📝 - Built and tested against real usage scenarios instead of synthetic examples 🧪 - Simplified the core several times by deleting features rather than adding more 🗑️ It is lightweight while remaining usable in real-world applications 🌐. The repository is open for contributions. Feedback, issues, and pull requests are welcome 🤝. Links: - 🌐 Website: https://lnkd.in/d6u_iqKu - 🐍 PyPI: https://lnkd.in/d3cQk36w - 🐈⬛ GitHub: https://lnkd.in/dGjfz_e3 Note: The current implementation may not be fully multi-thread safe ⚠️. Improving concurrency handling is a known area for future work, and contributions are welcome 🚀. #OpenSource #BuildInPublic #Python #DependencyInjection #ServiceLocator #DesignPatterns #Singleton #LazySingleton #Factory #SideProject #DeveloperTools #PyPI #GithubActions #CI #CD

Is Python on mobile actually viable? My take on Kivy vs. Kotlin. I’ve been spending a lot of time lately switching between Kotlin and Kivy, and honestly, the "which is better" debate is missing the point. It’s all about the architecture you're willing to manage. Kotlin is the safe bet. It’s native, fast, and Jetpack Compose makes UI work a breeze. If you need a standard Android app that feels "right" and doesn't drain the battery, there’s no reason to look elsewhere. But Kivy is a different beast entirely. It’s basically a game engine disguised as a UI framework. Some technical nuances that usually get ignored: The OpenGL Factor: Kivy doesn't use native Android widgets. Everything is rendered via OpenGL ES 2. This is a double-edged sword: you get total control over the UI (it looks the same on my ThinkPad and my Galaxy A35), but you lose that native "feel" and accessibility features. The "Python Bridge" Myth: People think Kivy is slow. Python is slow, sure, but Kivy’s graphics engine is Cython/C. The real bottleneck is usually the dev’s management of the main loop. If you don't use Clock.schedule_interval correctly, your UI will freeze the moment you start a heavy calculation. Buildozer is the real final boss: Writing the app is 20% of the work. The other 80% is wrestling with Buildozer, NDK versions, and ARM64 recipes to actually get an APK that doesn't crash on startup. The Verdict? If your project is heavy on Python-native libraries (ML, complex data processing) or you need a custom UI that works across Linux, Windows, and Mobile without rewriting a single line—Kivy is a lifesaver. For everything else, stick to Kotlin. Anyone else here actually pushed a Kivy app to production? I’d love to hear how you handled the package size and startup times. #DevOps #MobileDev #Python #Kotlin #Kivy #Programming #SoftwareEngineering

📘 Python Learning – Day 14 Highlights 🐍🌐 Today’s class was a big step into Web Development with Django 👇 🔹 Django Basics: A powerful Python framework to build web applications بسرعة 🔹 Project Setup: Created project, ran server, and explored project structure 🔹 MVT Architecture: ✔ Model → Database ✔ View → Logic ✔ Template → UI 🔹 App Development: Created app, models, migrations, and connected everything 🔹 CRUD Web App: Built a complete Student Management System ✔ Add, View, Update, Delete students 🔹 Admin Panel: Managed data easily using Django admin 💡 Key Learning: From backend logic to frontend display — full web app development workflow From Python basics to building real web applications 🚀 #Python #Django #WebDevelopment #FullStack #LearningJourney #Coding

Today I've launched the TransformKit Typescript and Python SDK's. Also DM me or comment below if you want to beta test the desktop app. https://lnkd.in/eaCVdag2 https://lnkd.in/e4f-5zEB

Thinking of what programming language to learn in 2026? Read this first. Most beginners ask the wrong question: 👉 “Which language is the best?” The better question is: 👉 “What do I want to build?” Because different languages serve different goals. Here’s how to think about it 👇 If you want to get into web development: Start with JavaScript (and eventually TypeScript). It gives you both frontend and backend opportunities. If you’re interested in AI, automation, or data: Go with Python. It’s simple, powerful, and widely used in those fields. If you want performance and system-level work: Look into Rust or Go. They’re built for speed and efficiency. If you’re targeting mobile apps: – Kotlin for Android – Swift for iOS But here’s the truth most people ignore: Learning a language won’t make you stand out. Building projects will. You don’t need 5 languages. You need: – 1 solid foundation – Real-world projects – Consistency Because the developers who grow fastest aren’t the ones who know the most… They’re the ones who build the most. 💬 What’s one language you’ve been thinking of learning? #Programming #LearnToCode #WebDevelopment #TechCareers #SoftwareEngineering #DeveloperLife #CodingJourney #BuildInPublic