Backend Development Best Practices with Django and Python

🚀 A Small Django Mistake That Can Slow Down Your Entire Application While working on my Django project, I noticed something interesting. My code was working perfectly… but the page was loading slower than expected. After checking the queries, I realized I was unknowingly creating the N+1 query problem. I was fetching orders and accessing the related customer for each order. Without optimization, Django was hitting the database again and again for every single customer record. That’s when I understood the importance of select_related() and prefetch_related(). When the relationship is ForeignKey or OneToOne, select_related() performs a SQL JOIN and fetches everything in a single query. When the relationship is ManyToMany or reverse ForeignKey, prefetch_related() works better because it runs separate queries and combines the data efficiently in Python. After applying the correct method, the number of queries reduced significantly — and the performance improved immediately. This experience taught me one important lesson: Writing working code is good. Writing optimized code is better. 🚀 As a backend developer, understanding how the ORM works internally makes a huge difference. #Django #Python #BackendDeveloper #LearningJourney #ORM #PerformanceOptimization

🚀 Saw this post and it hit home cuz I ran into the exact same N+1 query problem while building my Django e-commerce project, FarmBasket. I was loading the admin orders page and noticed it was crawling, revealed the classic problem, Django was firing a separate query for every order's user and every order's items. With 50+ orders, that's 100+ queries for a single page load 💀 Here's what the fix looked like in my actual codebase: # ❌ Before: N+1 nightmare orders = Order.objects.all() # Accessing order.user and order.items in a loop # 1 query for orders + N queries for users + N queries for items # ✅ After: 3 queries total, regardless of N orders = Order.objects.select_related('user').prefetch_related('items') I applied this pattern everywhere it mattered. 😇 # Product listing: ForeignKey to category → select_related Product.objects.filter(is_active=True).select_related('category') # Product detail: FK to category + reverse FK to images → both Product.objects.select_related('category').prefetch_related('images') # Wishlist: chained FK traversal Wishlist.objects.filter(user=user).select_related('product_category') 💯 The rule is simple : → ForeignKey / OneToOne? Use select_related(), it does a SQL JOIN. → ManyToMany / Reverse FK? Use prefetch_related() , it batches into a second query. → Need both? Chain them. Django handles it cleanly. The result? Pages that were making 50-100+ queries now make 2-3. Same data, dramatically fewer round trips to the database. Writing working code is step one. Writing optimized code is what separates a developer from a good developer. 🚀 🚀GitHub: https://lnkd.in/gDmfKP8j 🌐 Live demo: https://lnkd.in/gbPGxp7S #Django #Python #BackendDevelopment #QueryOptimization #ORM #WebDevelopment #LearningInPublic

🚀 From Backend APIs to Smart Automation with Core Python A few days ago, I shared my Streamlit Password Generator project. Today, I’m excited to share another project I built using Core Python + Streamlit — a Smart File Organizer. As a backend engineer with 4+ years in PHP/Laravel and Django, I’ve spent most of my career building APIs, payment systems, and transaction-heavy platforms. But recently, I decided to go deeper into core Python fundamentals — not just frameworks. So I built something simple… but powerful. 🧠 The Problem: We all have messy folders filled with random files: Images (.png, .jpg, .jpeg) Documents (.pdf, .docx, .txt) Videos Audio files And “mystery files” 😅 🛠 The Solution: A Smart File Organizer that: • Accepts a folder path • Scans all files • Detects file extensions • Automatically groups them into folders like: Images Documents Videos Audio Others Built with: Core Python (os, shutil, file handling) Streamlit (for a clean interactive UI) 💡 What I Loved About This Project Seeing how powerful Python’s standard library is Writing logic without depending on heavy frameworks Turning backend logic into a usable interface with Streamlit Building something practical that solves a real everyday problem What’s interesting is this: As a backend developer used to Django and Laravel, this experience reminded me that strong fundamentals > frameworks. Frameworks are tools. Core language knowledge is power. I’m really enjoying this phase of building small but practical tools with Python. More projects coming soon 🚀 #Python #Streamlit #BackendDeveloper #SoftwareEngineering #BuildInPublic #LearningJourney #WomenInTech

Becoming a good Python/Django developer isn’t about memorizing syntax. It’s about building strong foundations and developing the right mindset. Here’s what truly matters: 🔹 1. Master Python First Before diving deep into Django, understand: Data structures Object-Oriented Programming Functions and modules Exception handling Virtual environments Django is powerful — but it’s built on Python. 🔹 2. Understand How the Web Works A good developer understands: HTTP & HTTPS Request–response cycle REST APIs Client vs server architecture Databases and how they interact with applications Framework knowledge without web fundamentals is incomplete. 🔹 3. Learn Django Beyond CRUD Go deeper into: Django ORM Authentication & authorization Middleware Class-based views Forms and validation Security best practices Don’t just build features. Understand how they work internally. 🔹 4. Focus on Clean Code Write readable code Follow best practices Use proper project structure Document where necessary Good developers write code others can maintain. 🔹 5. Practice Debugging Errors are part of the journey. Learning how to read tracebacks and debug efficiently is a superpower. 🔹 6. Learn Deployment Understanding how to move a project from development to production is essential. Know the difference between development and production environments. 🔹 7. Stay Consistent Consistency beats intensity. Small daily improvements compound over time. Becoming a strong Python/Django developer is a process. It requires patience, discipline, and continuous learning. Master the fundamentals. Build real projects. Keep improving. #Python #Django #WebDevelopment #SoftwareEngineering #BackendDevelopment #Programming

Very well detailed. The process really works for most. Learn the foundations deeply and intimately before taking on any framework. Regardless of what framework that gets released, you will always be safe with proper foundations. Any way, very good breakdown for the Python/Django path..👍🤛

As a python developer I want to show one of the most important frameworks of python is...... Understanding the Request–Response Cycle in Django completely changed how I look at backend development. When a client sends a request, it doesn’t directly hit the database. It flows through the web server, WSGI layer, middleware, URL routing, views, models, and finally reaches the database before returning a structured response. This architecture ensures: • Clean separation of concerns • Scalable application structure • Better debugging and maintainability The view acts as the control center. Models handle the data logic. Middleware processes requests and responses efficiently. Templates render dynamic content. Once you truly understand this cycle, building APIs and web applications becomes far more logical instead of just writing random code. Backend development isn’t about memorizing syntax — it’s about understanding flow and architecture. Currently deep diving into Django internals and strengthening my backend fundamentals. #Python #Django #BackendDevelopment #WebDevelopment

🌱 Building a web application that needs to scale, handle complex data, and stay maintainable over time? 🐍 Django and Python remain a powerful foundation for business-critical systems. 🌳 We help clients design, build, and support Django applications that are reliable, secure, and built to last. 🔗 Learn more: https://lnkd.in/dMwDKyzW #EndPointDev #Django #Python #WebDevelopment #SoftwareEngineering

🚀 How Django Works? Understanding the MVT Model If you're learning Python web development, understanding Django’s architecture is a game changer. Django follows the MVT (Model-View-Template) pattern: 🔹 Model – Handles database & data logic 🔹 View – Controls business logic 🔹 Template – Manages UI & presentation Why it matters? ✅ Clean code structure ✅ Faster development ✅ Scalable applications ✅ Industry-ready framework If you're serious about becoming a Python Full Stack Developer, mastering Django is a must. 💬 Comment "DJANGO" if you want the full roadmap! #Django #Python #WebDevelopment #FullStackDeveloper #MVT #Programming #TechCareers

Mastering Django & `django-polymorphic`: Advanced Inheritance In the world of web development, the ability to model complex relationships between data is crucial. Django, a powerful Python web framework, provides excellent tools for defining data structures. However, when dealing with scenarios where you have different types of objects that share common characteristics but also possess unique attributes, standard Django models might fall short. This is where the concept of inheritance and, specifically, the `django-polymorphic` package, comes into play....

Met a developer who built everything from scratch. No Django. No Flask. No FastAPI. Just raw Python and determination. I thought he was crazy. Then I saw his code. Here's what shocked me: He understood EVERYTHING his application did. No "magic" happening behind the scenes. No dependencies breaking randomly. No framework updates forcing rewrites. The framework developers (me included)? We could build fast. But we didn't really understand how it worked. "Django just handles that." "FastAPI does it automatically." We were building on top of abstractions we'd never looked inside. The conversation that changed my perspective: Me: "But aren't you wasting time reinventing the wheel?" Him: "I'm learning how the wheel works. You're just driving the car." Both approaches have value: Want to ship products fast? Use frameworks. Want to deeply understand systems? Build from scratch (at least once). What I did after meeting him: Spent two weekends building a tiny web server in raw Python. No framework. Just sockets, HTTP parsing, and routing. 150 lines of code. Taught me more about web development than 2 years of using Django. The uncomfortable truth: Frameworks make you productive. But they also hide the fundamentals. You can be a great developer without understanding HTTP. But you'll be a better one if you do. Your challenge: Pick ONE thing your framework does for you. Spend a weekend building a simple version from scratch. Not to replace the framework. To understand what it's doing for you. What framework "magic" do you wish you understood better? #Python #WebDevelopment #LearningToCode #Frameworks