Most Django APIs work. Very few are designed well. The biggest upgrade I made in Django REST Framework wasn’t a new package — it was separating business logic from views. ❌ Fat views ✅ Thin views + service layer This simple architectural shift made my APIs: – cleaner – easier to test – ready for real production scale If you’re building APIs in Django, this distinction matters more than most people realize. #Python #Django #DjangoRESTFramework #BackendDevelopment #APIDesign #SoftwareEngineering #CleanArchitecture
Django API Design: Separating Logic from Views
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I really like this comparison. There’s no universal “best” 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 — the right choice always depends on what you’re trying to build. If the goal is a structured, data-heavy web application with a built-in admin and lots of features out of the box, 𝐃𝐣𝐚𝐧𝐠𝐨 makes a lot of sense. If the focus is high-performance APIs, async workloads, or microservices, 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 is often a better fit. Good reminder that context matters more than trends. Nice overview by Codism LLC #Python #Django #FastAPI #SoftwareArchitecture #Backend
🚀 Django vs FastAPI in 2026: Choosing the Right Python Framework Python developers and enterprises face a critical choice: Django or FastAPI for scalable, high-performance applications. Django: Best for structured web apps with built-in ORM, templating, and admin dashboards FastAPI: High-performance APIs, microservices, and async workloads Learn the key differences, performance comparisons, and real use cases in our latest blog: 👉 https://lnkd.in/g7sxBck8 #Python #Django #FastAPI #WebDevelopment2026 #API #Microservices #Codism #SoftwareEngineering #BackendDevelopment
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FastAPI or Django? The right choice depends on performance, scale, and architecture. If you’re building serious systems, this article is worth a read.
🚀 Django vs FastAPI in 2026: Choosing the Right Python Framework Python developers and enterprises face a critical choice: Django or FastAPI for scalable, high-performance applications. Django: Best for structured web apps with built-in ORM, templating, and admin dashboards FastAPI: High-performance APIs, microservices, and async workloads Learn the key differences, performance comparisons, and real use cases in our latest blog: 👉 https://lnkd.in/g7sxBck8 #Python #Django #FastAPI #WebDevelopment2026 #API #Microservices #Codism #SoftwareEngineering #BackendDevelopment
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🚀 Django vs FastAPI in 2026: Choosing the Right Python Framework Python developers and enterprises face a critical choice: Django or FastAPI for scalable, high-performance applications. Django: Best for structured web apps with built-in ORM, templating, and admin dashboards FastAPI: High-performance APIs, microservices, and async workloads Learn the key differences, performance comparisons, and real use cases in our latest blog: 👉 https://lnkd.in/g7sxBck8 #Python #Django #FastAPI #WebDevelopment2026 #API #Microservices #Codism #SoftwareEngineering #BackendDevelopment
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Django vs FastAPI is not really a framework debate — it’s an architecture decision. I often see people struggling to choose the “right” Python framework for their product. In reality, most limitations—especially throughput issues—don’t come from the framework itself, but from poor architectural decisions. I prefer Django when structure matters and when there’s a need for an all-in-one solution: frontend support, backend logic, and ORM tightly integrated. In contrast, I choose FastAPI when flexibility and strong type annotations are the priority. If an application is built with a serverless architecture in mind, FastAPI is usually a great fit due to its modularity and lightweight nature. On the other hand, Django often requires a containerized setup to be used effectively in such environments. #SoftwareDevelopment #Python #Django #FastAPI #Blasquared #Rarblack 𝘋𝘪𝘴𝘤𝘭𝘢𝘪𝘮𝘦𝘳: 𝘛𝘩𝘪𝘴 𝘱𝘰𝘴𝘵 𝘸𝘢𝘴 𝘸𝘳𝘪𝘵𝘵𝘦𝘯 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘳𝘦𝘭𝘪𝘢𝘯𝘤𝘦 𝘰𝘯 𝘈𝘐.
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💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "values()" and "values_list()" can significantly reduce memory usage and response time when you don’t need full model instances. Instead of loading entire models, they return 𝗽𝗹𝗮𝗶𝗻 𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝗶𝗲𝘀 𝗼𝗿 𝘁𝘂𝗽𝗹𝗲𝘀 directly from the database. Perfect for: - Read-only APIs - Dropdowns & select options - Analytics or reporting queries Less data loaded = faster queries. #Django #Python #BackendDevelopment #WebDevelopment #PerformanceOptimization #SoftwareEngineering #CodingTips #FullstackDeveloper
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🐍 Django Shell: Your Secret Weapon for Rapid Development Ever find yourself writing throwaway scripts just to test a quick database query or experiment with your models? There's a better way: `python manage.py shell` The Django shell gives you an interactive Python environment with your entire project context loaded. You can: ✅ Test model queries without writing views ✅ Debug complex relationships on the fly ✅ Prototype business logic before implementing ✅ Quickly inspect data without hitting your database GUI Pro tip: Use `shell_plus` from django-extensions for auto-imported models and even better productivity. It's one of those tools that seems simple but saves hours of development time once you make it part of your workflow. What's your favorite Django productivity hack? #Django #Python #WebDevelopment #DjangoTips #BackendDevelopment
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One thing I’ve been consciously working on is strengthening my backend fundamentals. While tools and frameworks evolve, concepts like request–response flow, database design, authentication, and clean backend logic remain constant. As a Full-Stack Developer, I’m spending time refining how applications are structured using Python and Django, rather than just making things “work”. Strong systems are built on clear fundamentals — and that’s where real scalability begins. #FullStackDeveloper #BackendDevelopment #Python #Django #SoftwareEngineering #CleanCode
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💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "update()" method updates records 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗮𝘁 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗹𝗲𝘃𝗲𝗹 and 𝗱𝗼𝗲𝘀 𝗻𝗼𝘁 𝗰𝗮𝗹𝗹 "save()" or trigger model signals. Why this matters: - It’s 𝗺𝘂𝗰𝗵 𝗳𝗮𝘀𝘁𝗲𝗿 for bulk updates - But "pre_save" / "post_save" signals and "save()" logic are 𝘀𝗸𝗶𝗽𝗽𝗲𝗱 🔧 Rule of thumb: Use "update()" for performance-critical bulk changes, and "save()" when business logic or signals must run. Knowing the difference prevents subtle bugs. #Django #Python #BackendDevelopment #WebDevelopment #SoftwareEngineering #CodingTips #PerformanceOptimization #FullstackDeveloper
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Day 5 — Django Basics Focused on Authentication and User Data today. Looked into how Django handles: User login and session management Secure storage and access to user-related data Starting to understand how authentication is deeply integrated into the framework and why Django is trusted for real-world applications. #Django #Python #BackendEngineering #SoftwareEngineering #WebDevelopment #LearningInPublic #PythonDeveloper
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📘 Django Notes – Beginner Friendly I’ve created structured Django notes covering core concepts like: ✔ Virtual Environment ✔ URLs & Views ✔ Templates & ORM ✔ Models, Forms & Authentication ✔ CRUD operations ✔ Cart & Stripe payment basics Sharing this as part of my learning journey. Hope it helps other beginners too 🚀 #Django #Python #WebDevelopment #Backend #LearningJourney #FullStackDeveloper
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