Hajer FAHEM’s Post

🚀 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

5 Python Frameworks You Should Know in 2025 🚀 1. FastAPI ⚡ It has effectively replaced Flask for many new API projects. It's fast, supports async/await, and the automatic Swagger documentation is a game-changer. 2. Django 🛡️ Robust, secure, and scalable. It powers giants like Instagram and Pinterest. Essential if you want to build full-stack apps quickly. 3. Streamlit 📊 If you work in Data Science, this is non-negotiable. It allows you to turn data scripts into shareable web apps in minutes—no frontend experience required. 4. Pytest 🧪 Not a web framework, but essential. If you aren't testing your code in 2025, you aren't shipping production-ready software. 5. Pydantic 🏗️ Data validation is critical. Pydantic enforces type hints at runtime and makes data parsing incredibly smooth. #Python #DataScience #TechTrends #Programming #DeveloperLife

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.

Choosing the right Python framework isn’t about trends. It’s about use case. If you’re building with Python, these three frameworks dominate web development, each for a very different reason 👇 Django: The Full-Stack Giant Django comes with everything out of the box: authentication, admin panel, ORM, and strong security defaults. It’s ideal for large, data-heavy, and long-term projects where scalability and structure matter more than flexibility. Flask: The Minimal & Flexible Choice Flask gives you a clean starting point and lets you decide what to add. Perfect for small apps, MVPs, and prototypes, or when you want to understand every part of your stack without heavy abstractions. FastAPI: Built for Speed & Modern APIs FastAPI is designed for performance. With async support and automatic API documentation, it’s a favorite for REST APIs, microservices, and AI/ML backends that need speed and clarity. 💡 There’s no “best” framework. The best choice depends on project size, performance needs, and how much control you want. #Python #WebDevelopment #BackendDevelopment #Django #Flask #FastAPI #SoftwareEngineering #meissasoft

Hey folks 👋 Was getting a bit bored recently, so decided to build something that actually felt interesting and useful from an engineering point of view. I’ve been working on a small Python tool called FastAudit — it checks whether a Python app is actually production-ready before deployment. Things like: • DEBUG flags • settings misconfigurations • unsafe defaults • Python setup issues that usually show up at the worst time Right now it works in Django mode only, and it’s still very much a work in progress. I’m focusing on making the Django side solid first before extending it to other frameworks like FastAPI, flask, etc. Not trying to make it perfect — just building in public, learning a lot about Django internals, packaging, and real-world edge cases along the way. Will keep improving it, and later plan to cover other Python frameworks too. If you’ve faced similar “it works locally but breaks in prod” moments, you’ll know why this exists 🙂 More updates soon. #BuildingInPublic #Django #Python #BackendEngineering #SoftwareEngineering #DeveloperTools

JavaScript’s monopoly on the Edge is officially over. For years, if you wanted true speed at the edge, you were effectively forced to use JavaScript. Trying to run Python? You were usually hit with painful cold starts that killed the user experience. But WebAssembly (WASM) just flipped the script. New serverless platforms are now leveraging WASM to offer Python first-class support. This opens a massive door for developers: • Access the rich Python ecosystem (Data Science & AI) • Deploy complex logic directly at the edge • Achieve near-instant startup times We break down how this architecture works and what it means for your stack in today's daily audio newsletter. Grab the full breakdown (and the script) at the link in the comments. 👇 #webassembly #EdgeComputing #serverless #Python

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

Stop wasting hardware resources: The power of Async Python 🚀 Most developers think "more users = more servers." But often, the solution is just better concurrency management. I just published a new article on Dev.to compare FastAPI vs. Flask for production environments. If you’re dealing with network calls, file I/O, or GPU waiting times, moving to an async-first mindset is a game-changer. It’s about doing more with less: less hardware, less waiting, and less technical debt. Check it out: 👇 https://lnkd.in/eDBsBHfR #WebPerformance #CloudComputing #Python #TechTalk #FastAPI @tiangolo

Just published a new article on Hashnode! 🚀 Learn the best Django REST Framework (DRF) project structure for scalable, async, AI-ready apps — with Docker, scripts, and hooks. Read here: https://lnkd.in/gGSr-vMh #Django #DRF #Python #WebDevelopment #AI #Docker