Deyan Romanov’s Post

FastAPI is becoming the default “first API framework” for many beginners. I’ve noticed more early-stage Python developers reaching for FastAPI when they want to build something fast and efficient, and the reason seems straightforward: it’s simple to start with and the documentation is genuinely easy to follow. That combination makes it easier to practise the backend fundamentals that actually matter—clear endpoint design, input validation, error handling, and integrating a SQL database for CRUD operations. I like tools that reduce setup friction without hiding what’s going on under the hood. When you’re choosing a framework to learn, do you prioritise speed to a working prototype or depth of understanding from day one? #Python #FastAPI

Doubling down even further! Did you know the `@transaction` decorator removes almost all database "plumbing" from your Dyne routes? 🛠️ Forget `await req.db` or manual ` await session.commit()` calls. Just decorate your function: it lazily loads the session, commits on success, and automatically rolls back if anything goes wrong. Focus on your logic, not the infrastructure: https://lnkd.in/eqEc4Tuw #Python #SQLAlchemy #Backend #DyneFramework #WebDev

New Update for pagi :) Just expanded pagi with Django ORM integration. Now you can use the same pagination API across Django, SQLAlchemy. Looking ahead, two key features are next: 1. Tortoise-ORM Integration. 2. Cursor-based Pagination Strategy. The journey continues, let's keep building 🤓 ! #Python #Django #ORM #Pagination #OpenSource #BackendDev #WebDevelopment #SQLAlchemy

🐍 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

Debuggers are great, but sometimes it's simply faster to dump Django ORM data to JSON, skim through it, apply a fix, and move on. I wrote a short note on how to do this programmatically - for example during `TestCase` execution - without relying on `manage.py dumpdata`. #Django #Python #Programming #TDD #DailyPythonista https://lnkd.in/dpuPYHnr

Why pop(0) can bring a Python service to halt, literally! If we need to manage a queue of tasks, first instinct is likely tasks = []. It works perfectly in testing with 100 items. But it would be disaster for 100000 items. Python lists are dynamic arrays. All items live in a single, contiguous block of memory. 1. append() → fast (O(1)) 2. pop(0) → very slow (O(n)) Why? Removing the first element means every remaining item must be shifted one slot to the left in memory. The solution is using Queues, specifically Double-Ended Queue (deque). Internally, a deque is implemented as a Doubly Linked List. - To remove the first item, Python just updates a pointer. No items are moved. - The cost is always Constant Time (O(1)), regardless of data size. Takeaway - Choose your collection based on the Access Pattern and not habits. 1. Need Random Access? Use a List. 2. Need a Queue? Use a Deque. I’m deep-diving into Python internals and performance. Do follow along and tell your experiences in comments. #Python #PythonInternals #SoftwareEngineering #BackendDevelopment

FastAPI Practice Project (Beginner Friendly) I built a simple FastAPI project to understand backend API development from scratch. This project helped me learn: ✅ Basic API endpoints ✅ Query parameters ✅ Sorting data using query params ✅ Error handling with HTTPException The complete code is written in a simple and easy way, with clear comments so beginners can understand it easily. 📌Below is GitHub link https://lnkd.in/e4syrGRp #FastAPI #Python #BackendDevelopment #APIs #Programming #LearningJourney #BeginnerFriendly #PythonDeveloper

Exciting news with the release of PyMelos! PyMelos is a Python monorepo tool inspired by Melos, designed to enhance modern Python workflows and provide a great developer experience. It simplifies the management and execution of commands across multiple packages within a single repository. For documentation and to get started, visit: https://lnkd.in/gACrsYnk Feedback is always welcome. #python #opensource #monorepo #devtools

FastAPI is rapidly becoming a preferred choice among Python frameworks, and it’s easy to see why. Built on Starlette and Pydantic, FastAPI enables the creation of high-performance APIs with clean, readable code. Its async-first design and support for Python’s async/await contribute to its impressive speed. Key features that enhance the developer experience include: - Automatic, interactive API documentation (Swagger & ReDoc) included by default - Built-in data validation and type safety - Reduced boilerplate, fewer bugs, and quicker development cycles Whether you are developing microservices, machine learning-powered APIs, or robust backends, FastAPI offers an exceptional balance of speed, simplicity, and scalability. For those still relying on older frameworks for new projects, FastAPI is definitely worth considering. It serves not only as a framework but also as a significant productivity enhancer. #FastAPI #Python #APIs #BackendDevelopment #WebDevelopment #TechTrends

Did you know Dyne’s LoginManager handles everything from Session Auth to complex Role-Based Access Control (RBAC)? 🔐 You can secure routes with @login_required, hook into lifecycle events with @on_login and @on_logout, and customize how failures are handled with @on_failure. Check it out on GitHub: 👉 https://lnkd.in/eqEc4Tuw #Python #WebDev #DyneFramework #Backend