Django vs FastAPI: Choosing the Right Framework for Backend Development

Most developers do not fail at Django because the framework is difficult. They fail because they learn in fragments and try to build systems before understanding structure. Right now, I am revisiting Python fundamentals alongside Django with a different approach. Not rushing features. Not chasing projects. Rebuilding how backend systems actually behave from the ground up. For beginners, the mistake is usually the same. Too many tutorials, not enough structure. That is why starting with a guided introduction matters. A useful entry point is here: https://lnkd.in/dCUgNqjH w3schools.com W3Schools provides a simplified Django structure that helps you understand how projects are organized before you tackle complex system design. What matters most is not syntax. It is flowing. Request → Middleware → View → ORM → Database → Response If that chain is unclear, every advanced topic will feel random. If it is clear, Django becomes predictable and logical. At Teklini Technologies, this is the standard. Systems are not built around speed. They are built around clarity first, then scale, then performance. If you are learning Django or restarting your backend journey, stop collecting tutorials. Start mastering structure. What is the one Django concept that only made sense after you built something real? #Django #Python #BackendEngineering #WebDevelopment #SystemDesign #CleanArchitecture #CodingJourney #TekliniTechnologies

🎭 #The_"#Translator_Who_Tries_Too_Hard": #Understanding #SerializerMethodField: Ever built a Django API and realized your database model is a bit… boring? You have a first_name and a last_name, but your frontend developer is begging for a full_name or a is_vibe_check_passed field that doesn't actually exist in your SQL table. Enter the SerializerMethodField. In the world of Django Rest Framework (DRF), this field is like that one friend who refuses to just repeat what they heard and instead adds their own "flavour" to the story. 🛠️ How it Works When you define a field as a SerializerMethodField(), you are telling Django: "Hey, don't look for this in the database. I’m going to write a custom function to calculate this on the fly." 👨🍳 The Recipe Define the field: Add it to your serializer class. The "Get" Magic: Create a method named get_<field_name>. The Logic: Do your math, string concatenation, or soul-searching inside that method. Python class UserSerializer(serializers.ModelSerializer): days_since_joined = serializers.SerializerMethodField() class Meta: model = User fields = ['username', 'days_since_joined'] def get_days_since_joined(self, obj): # 'obj' is the actual model instance return (timezone.now() - obj.date_joined).days ⚠️ The Catch (Read: Why your Senior Dev is frowning) While powerful, SerializerMethodField is read-only. You can't POST data back to it. Also, if you use it to run heavy database queries for every single item in a list of 1,000 objects, your API performance will disappear faster than free pizza in a tech office. 🍕💨 TL;DR: Use it when you need to transform raw data into something useful for the frontend, but use it sparingly to keep those response times snappy! 🚀 #Django #Python #WebDevelopment #DRF #BackendTips #CodingHumor

Python finally has a backend framework that feels… complete. A lot of developers are still choosing between Flask and Django… But there’s another framework quietly gaining serious momentum. 👉 FastAPI. Here’s why it’s getting so much attention: ⚡ Insanely fast (comparable to Node.js) 🧠 Built-in data validation (no more messy manual checks) 📄 Automatic API docs (Swagger, out of the box) 🔄 Async support = scalability by default This is not just “another Python framework.” It feels like what modern backend development in Python was always meant to be. If you’re building: 🔹 SaaS products 🔹 AI tools 🔹 Scalable APIs FastAPI is definitely worth exploring. I’ve started using it in my projects and honestly, the developer experience is on another level. Clean code. Less debugging. Faster development. #FastAPI #Python #WebDevelopment #SaaS #Backend

I kept writing Django APIs… but something felt off. The code was working. Responses were coming. But if someone asked me: 👉 “What actually happens when a request hits your API?” …I didn’t have a clear answer. That bothered me. So I went back to basics. Not tutorials. Not copying code. Just understanding one simple flow: User → request → view → model → database → response And suddenly, things started clicking: Patient.objects.all() is not just a line of code… it’s a query hitting the database and returning structured data. request is not just a parameter… it’s literally everything the user is sending to your backend. GET, POST, PUT, DELETE are not just methods… they define how your system behaves. The biggest realization? 👉 I was focusing on “how to write code” 👉 instead of “how things actually work” Now I approach backend differently: I don’t start with code. I start with flow. And that small shift is making a huge difference. Still learning. But now it feels real. #Django #BackendDevelopment #Python #LearningInPublic #SoftwareEngineering #BuildInPublic

🚀 Day 20: Django Views & URLs As I continue my Django journey, I explored how user requests are handled and how responses are generated. 👉 This is where Views and URLs come into play. 🔹 What is a View? A View is a Python function (or class) that handles a request and returns a response. 💡 Example: from django.http import HttpResponse def home(request):     return HttpResponse("Hello, World!") 🔹 What is a URL? A URL maps a web address to a specific view. 💡 Example: from django.urls import path from . import views urlpatterns = [     path('', views.home), ] 🔹 How it works? User Request → URL → View → Response 📌 Why it matters? ✔ Handles user interaction ✔ Connects frontend with backend ✔ Controls what data is shown to users Every time you open a page, Django uses URLs and Views behind the scenes. 💡 Understanding this flow is key to building dynamic web applications. 📈 Step by step, mastering backend development with Django. #Django #Python #WebDevelopment #BackendDevelopment #SoftwareEngineering #LearningJourney #FullStack

Unpopular opinion: Most developers are using the WRONG Python framework in 2026. 👀 Yeah… I said it. Stop choosing tools based on hype. Here’s the truth 👇 🔴 Flask is NOT outdated People keep replacing it like it’s obsolete. It’s still one of the BEST choices for MVPs and simple backends. 👉 If your app is small, Django is overkill. Period. 🟢 FastAPI is NOT a silver bullet Yes, it’s fast. Yes, it’s modern. But most projects don’t even need that level of performance. 👉 Using FastAPI for a basic CRUD app? That’s overengineering. 🔵 Django is NOT “too heavy” This one is funny. People complain… then rebuild auth, admin, roles, security from scratch. 👉 Django already solved those problems YEARS ago. 💡 The real problem? Developers are choosing frameworks for ego — not for the problem. 🔥 The reality: → Flask = simplicity & control → FastAPI = performance & modern APIs → Django = full system & rapid scaling 🚨 Hard truth: If you can’t justify your framework choice… you probably chose wrong. So be honest — what are you using, and WHY? 👇 #Python #BackendDevelopment #Flask #FastAPI #Django #SoftwareEngineering #WebDev #TechDebate

I just published my first article on "The Django Habits That Hurt You in Go". Coming from Python/Django, a lot of patterns feel natural, with Celery, background jobs, fire and forget tasks, safe retries and queues still feels like "Django". Then you switch to Go after hearing so much about how awesome goroutines are, and naturally, you try to use them like Celery :) Goroutines feel lightweight and easy, so it is tempting to treat them like background workers. But they lack persistence, retry mechanism, fault isolation, and guarantees. This article breaks down: - why goroutines are not a replacement for Celery - the common mistake Django engineers make in Go - what the correct pattern looks like - and what to use instead when you actually need a task queue If you are a Django developer who is giving Go a shot, this will save you from a few painful lessons. https://lnkd.in/ef5BPMYC

Day 118-119 📘 Python Full Stack Journey – Django Models, Relationships & Media Handling Today I explored some advanced and exciting concepts in Django, moving closer to building real-world dynamic applications. 🚀 🎯 What I learned today: 🗄️ Multiple Models & Relationships Created a new Teacher model and linked it with Course using ForeignKey Understood how one-to-many relationships work in Django Used on_delete=models.CASCADE to automatically remove related data 💡 Learned how deleting a course also removes associated teachers — maintaining database integrity 🧩 Model Enhancements Used __str__() method to display meaningful names in Django Admin instead of default object names 🖼️ Image Handling in Django Used ImageField to upload images Installed Pillow for image processing Configured MEDIA_ROOT and MEDIA_URL to serve uploaded files Displayed images dynamically in templates 🌐 Dynamic Data Rendering Retrieved data using: Teacher.objects.all() Displayed data in templates using Django loops and variables Built a Teachers page showing: Name Course Image 📩 Forms & Models Created a Contact model for user data Introduced Django ModelForms to handle user input efficiently This session helped me understand how Django connects models, relationships, media files, and forms to build fully functional applications. Every step feels closer to building production-level web apps! 💻✨ #Django #Python #FullStackDevelopment #WebDevelopment #Backend #Database #CodingJourney #LearningToCode #Upskilling #TechSkills #ContinuousLearning

🚀 Day 4 of my 7 Days Django Challenge Today I built CurioLog — Daily Curiosity Journal 🧠✨ It’s a Django-based journaling web app where users can store and organize: ideas questions observations experiments learning notes Instead of making a very basic project, I wanted to build something that feels more practical and meaningful. ✅ Features: User authentication Add / edit / delete entries Categories and tags Search and filters Dashboard analytics Monthly and category charts CSV export Responsive UI 🛠️ Tech Stack: Python, Django, Bootstrap 5, Chart.js, Pandas, SQLite 📚 What I learned: Django authentication CRUD operations Model relationships Search & filtering Dashboard logic Data visualization Exporting data This project gave me a much better understanding of how real-world Django apps can be structured beyond just forms and models. 🔗 GitHub: https://lnkd.in/ggTm7Hyc #Django #Python #WebDevelopment #FullStackDevelopment #BackendDevelopment #StudentDeveloper #Projects #LearningInPublic #GitHub #SoftwareDevelopment

🚀 Day 8 of My Django Learning Journey Today I explored the heart of Django applications — Views 🧠 In Django, a View is responsible for handling user requests and returning responses. 👉 In simple terms: View = Logic + Response ⚙️ Basic Example (Function-Based View): from django.http import HttpResponse def home(request): return HttpResponse("Hello, this is my first Django view!") 🧠 Understanding this: 🔹 request → Data sent by the user (browser) 🔹 HttpResponse → Data sent back to the user 🔗 Connecting View with URL (urls.py): from django.urls import path from . import views urlpatterns = [ path('', views.home), ] 🔄 Flow of Execution: 1️⃣ User visits a URL 2️⃣ Django checks urls.py 3️⃣ Calls the mapped view 4️⃣ View processes logic 5️⃣ Returns response to browser 💡 Why Views are Important: Without views: ❌ No application logic ❌ No dynamic content With views: ✅ Control over data ✅ Dynamic web pages ✅ Core backend functionality Every day I’m getting a clearer understanding of how backend systems actually work 🔥 Excited to keep building with Django 🚀 10000 Coders Ajay Miryala #Django #Python #BackendDevelopment #WebDevelopment #LearningInPublic #10000Coders #DjangoDeveloper #CodingJourney #SoftwareDevelopment #TechLearning