Django vs FastAPI: Choosing the Right Framework for Your Project

WHY DJANGO REST_FRAMEWORK? DAY 9: ‎ ‎THE BROWSABLE API (YOUR SECRET WEAPON) ‎ ‎One of the biggest differences between Django and DRF is how you see your work. ‎ ‎In standard Django, if you want to see if your logic works, you’re either looking at the Admin Panel or building a quick HTML template. Although, it gives a little more room for customization, it is still a bit of a detour. ‎ ‎Enter the DRF Browsable API. ‎ ‎heThe moment you create a view in DRF and navigate to the URL in your browser, you aren't just looking at raw JSON text. DRF renders a clean, interactive web page that allows you to: ‎ ‎1. GET data and see it beautifully formatted. ‎ ‎2. POST new data using a built-in form. ‎ ‎3. PUT/DELETE resources with the click of a button. ‎ ‎It is essentially a live Sandbox for your backend. You can test your entire backend logic directly in the browser. ‎ ‎For me, this was actually pretty fascinating, just seeing my Python logic turn into a functional interface  that I could interact with, without writing a single line of CSS or HTML. It makes debugging feel less like a chore and more like a playground. ‎ ‎Do you prefer testing your logic in the terminal (Shell) or are you like me and you need a visual interface to feel like it’s real? ‎ ‎#APIs #webdevelopment #learninginpublic #learninpublic #whydjangorestframework #django #djangrestframework #python #webdev #backenddevelopment

3 Simple Rules for Better Django Models 🐍 When I first started with Django, I treated models.py just like a database table definition. I was wrong. It’s actually the brain of your application. If you are building your first Django app, here are 3 best practices to save you hours of debugging later: 1️⃣ The "Fat Models" Rule Don't clutter your Views with business logic. If you are calculating a discount or formatting a name, write a method inside the Model class. Keep your Views clean! 2️⃣ Always add __str__ There is nothing worse than opening your Admin panel and seeing 50 rows of <BlogPost Object (1)>. Always define the __str__ method to return a readable title. 3️⃣ Don't forget Timestamps You think you don't need them now, but you will. Always add created_at and updated_at fields. Trying to add them to a populated database later is a headache you don't want. ** The Takeaway: ** Django’s ORM isn't just about translation; it's about structure. A good model prevents bad code elsewhere. Django devs, do you prefer logic in Models or Services? Let’s discuss below! 👇 #Django #Python #WebDevelopment #BackendDeveloper #CodingTips

High-Performance Fully Typed API Framework for Django Your first question might be: why? Well, consider this: Faster than FastAPI, but with Django ORM, Django Admin, and Django packages. That’s exactly what this project achieves. Django-Bolt is a high-performance API framework for Django, providing Rust-powered API endpoints capable of 60k+ RPS. Similar to Django REST Framework or Django Ninja, it integrates seamlessly with existing Django projects while leveraging Actix Web for HTTP handling, PyO3 to bridge Python async handlers with Rust's async runtime, and msgspec for fast serialization. You can deploy it directly—no gunicorn or uvicorn needed. https://lnkd.in/dkt2VJwZ https://lnkd.in/dgByitMv

🚀 Which Python framework is best for large-scale web applications? Flask vs Django vs FastAPI When building large-scale web applications, choosing the right framework can make or break your architecture. Here’s a quick comparison: 🔹 Django Best for enterprise-scale applications ✅ Built-in admin, ORM, authentication ✅ Strong security & scalability ⚠️ Opinionated, but great for large teams and long-term projects 🔹 FastAPI Best for high-performance APIs & microservices ✅ Extremely fast (ASGI, async-first) ✅ Automatic API docs (Swagger / OpenAPI) ⚠️ Still maturing for very complex monoliths 🔹 Flask Best for small to medium applications or custom architectures ✅ Lightweight and flexible ⚠️ Requires many third-party tools to scale effectively 💡 My take: Monolithic, enterprise-grade apps → Django High-performance APIs & microservices → FastAPI Prototypes or highly customized systems → Flask The “best” framework depends on scale, team size, and long-term goals, not just performance benchmarks. What’s your go-to Python framework for large systems? Let’s discuss 👇 #Python #WebDevelopment #Django #FastAPI #Flask #SoftwareArchitecture #BackendDevelopment

In the world of Python web development, selecting the appropriate framework can significantly impact your project's efficiency, scalability, and maintainability. Django, FastAPI, and Flask stand out as three of the most popular options, each catering to different needs and philosophies. Django is a full-featured, "batteries-included" framework ideal for complex applications. Flask offers a minimalist, flexible approach for those who prefer building from the ground up. FastAPI, a newer entrant, emphasizes speed, asynchronous capabilities, and API development with modern features like automatic documentation. This article delves into their histories, key features, performance, use cases, pros and cons, and ultimately helps you decide which might suit your next project. #backend #django #fastapi #flask https://lnkd.in/dvQnq66a

🔍 Exploring Django QuerySets with Real Code Recently, I explored how Django QuerySets make database interactions simple, readable, and efficient. I worked with commonly used QuerySet methods such as: 🔹 all() – retrieve all records 🔹 get() – fetch a single record 🔹 filter() – apply conditions to queries 🔹 order_by() – sort query results 🔹 create() – insert data using ORM Practicing these methods helped me understand how Django abstracts database operations and allows developers to work without writing raw SQL. This step made backend development feel more practical and structured. #Django #QuerySets #Python #BackendDevelopment #ORM #LearningJourney

WHY DJANGO REST_FRAMEWORK? DAY 5: ‎ WHAT IS DJANGO REST_FRAMEWORK? (DRF) ‎Django rest_framework is Django's own restful API, it keeps the backend separate from the server but negotiates with the database for information requested by the client through HttpResponses. ‎ ‎It is important to note that all requests are treated individually, and attended to provided the right data has been provided. e.g a new product can be created from the API endpoint provided all the required sections have been filled out as required by the models, the product name, category, description and so on. This is so that a new table is created in the database for that data without need for prior information like user account, or if that product exists prior. it's excellent for debugging and ensuring that the backend actually does what it claims to do. ‎A major part of drf's algorithm is its serializers. Serializers are files that help convert python primitive types/objects into acceptable web formats, e.g JSON, enabling clients to see and interact with resources displayed on the server in json format. As such, creating a new resource will be done using JSON format and saved, the data will then be deserialized/ parsed and sent back to the app where it will be saved on the database. ‎ ‎ let's create a mental flow chart: ‎Serializer initialized --> Server (resource displayed in JSON format.) --> Client requests/inputs data ---> Serializer validates data --> serializer deserializes data --> data gets stored in the database. ‎ So, that's how client-server-database flows occur in Django rest_framework. We are halfway through the series now and we've covered what Django is, when and why you should use Django, how to create projects in Django, what API's and restful API's are, and finally what django rest_framework is. Keep up with me as I continue to break down programming topics, while sharing my personal experience in building projects, with you. ‎ ‎#APIs #webdevelopment #learninginpublic #learninpublic #whydjangorestframework #django #djangrestframework #python #webdev #backenddevelopment

WHY DJANGO REST_FRAMEWORK? DAY 10: ‎ ‎THE FINAL VERDICT: DJANGO OR DRF? ‎ ‎We’ve spent 10 days breaking this down. From Serializers and Statelessness to Throttling and the Browsable APIs. So, the big question: Should you always use DRF? ‎ ‎The honest answer? No. ‎ ‎Choose Traditional Django if: ‎-- You are building a simple SEO-heavy blog or a site where the server needs to render everything for the browser (Server Side Rendering). ‎-- You don't need a mobile app or a separate frontend like React. ‎-- You want to keep everything "in-house" using Django’s MTV pattern. ‎ ‎Choose Django Rest_Framework if: ‎-- You want a Decoupled Architecture (Backend and Frontend are separate). ‎-- You are building for multiple platforms (Web, iOS, Android). ‎-- You want a scalable, stateless system that handles data like a pro. ‎-- You want to focus purely on logic and data without touching HTML/CSS. ‎ ‎My journey with PollScribe taught me that while DRF has a learning curve (those serializers can be tricky!), the freedom it gives you is unmatched. It forces you to think about your data more clearly and prepares your app for the modern, API-driven world. ‎ ‎This concludes our 10-day series! I hope this helped clear the fog on why DRF is such a powerhouse in the Python ecosystem. ‎ ‎What topic should I dive into next? More deep-dives into Serializers, or maybe a step-by-step project build? Drop your suggestions in the comments! ‎ ‎#APIs #webdevelopment #learninginpublic #learninpublic #whydjangorestframework #django #djangrestframework #python #webdev #backenddevelopment

🚀 Django vs FastAPI – Choosing the Right Python Backend Django 🧱 Perfect for full-featured applications. Built-in admin, authentication, ORM, and security make it ideal for large, scalable projects. FastAPI ⚡ Designed for speed and APIs. High performance, async support, and automatic API docs make it great for microservices and modern backends. 💡 Key Insight: Django is best for complete web apps. FastAPI shines when performance and APIs matter most. A good Python Full Stack developer knows when to use which. 🔥 #Python #Django #FastAPI #BackendDevelopment #PythonFullStack #WebDevelopment #LearningJourney

🧠 Django Tip – The Smart Way to Handle Missing Pages (404s)! Ever seen that “Page Not Found” message and wondered how Django handles it behind the scenes? 🤔 When a page doesn’t exist, Django can automatically trigger a 404 error — but you can (and should!) customize how it behaves. This improves user experience and makes debugging easier. Most beginners use plain HTML responses to show errors — but there’s a cleaner, more Django-like way to do it 🧩 Instead of returning a simple <h1>Page Not Found</h1>, you can raise an actual Http404 exception⚡ 1. Create `templates/404.html`: <h1>Oops! Page Not Found</h1> <p>The page you're looking for doesn't exist.</p> Django automatically uses this when: in `settings.py`: `DEBUG = False` `ALLOWED_HOSTS` is set correctly 2. Use Custom Logic With a Custom Handler In your project’s `urls.py`: handler404 = "myapp.views.custom_404_view" Then in `views.py`: from django.shortcuts import render def custom_404_view(request, exception): return render(request, "404.html", status=404) 🎁 Bonus: Log 404s for Better Insights You can log missing URLs: import logging logger = logging.getLogger(__name__) def custom_404_view(request, exception): logger.warning(f"404 Not Found: {request.path}") return render(request, "404.html", status=404) This helps you find broken links or bots probing your site. 💬 What’s your favorite way to handle 404s — custom templates or Django’s default page? Want more insights like this? Check out my profile for more resources. Let’s connect!  👉 “Link in the comments.” #Django #Python #Backend #CleanCode #SoftwareEngineering #WebDevelopment #DjangoTips