Django Form Mistake Costs Hours: POST Method Oversight

#django Did you know that for every model field you define with choices, Django automatically creates a helper method called get_FOO_display()? Full Video Link in Pinned Comment! Here, FOO is literally the name of your field. So if your field is called status, Django gives you get_status_display(). For example, if your field is defined with choices like ('p', 'Pending'), the database stores 'p' as the actual value, while 'Pending' is the human-readable label. When you call instance.get_status_display(), Django looks at the stored value ('p') and returns the display label ('Pending') for you. This means you never need to write custom lookup logic or template filters just to show readable text. You can use instance.get_status_display in Python or in templates, and Django handles it cleanly and automatically. YT Channel: natvilletutor Share with django devs!!

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

🚀 I just published a new Django package! If you have worked on large projects using Django REST, you’ve probably run into this situation: multiple serializers for the same model, each created just to return a different set of fields depending on the view. Over time, this can lead to a lot of duplicated code and serializers that are difficult to maintain. To address this problem, I built a solution that allows you to use a single serializer per model, while letting the view define which fields should be returned in the response. I’ve now packaged this solution and made it available for anyone who wants to solve the same problem. One of the main goals was to make it automatically integrate with Django Virtual Models, allowing it to also handle database query optimization based on the selected fields. I know there are similar packages out there, some with more features, but this one was designed to hadle also database optimization better with Django Virtual Models integration. If you're working with Django REST and dealing with serializer duplication, feel free to check it out. I’d really appreciate any feedback, suggestions, or ideas to improve it! 🔗 Link in the comments. #django #djangorest #python #backend #softwareengineering #opensource #database #optimization

Ever wondered why Django is called “the web framework for perfectionists with deadlines”? 🚀 Here’s something interesting 👇 When Django was first created at the Lawrence Journal-World newspaper, the developers needed to build news websites very fast while handling real-world problems like authentication, content management, and database handling. Instead of rewriting the same code again and again, they built reusable components, and that idea became Django. That’s why Django today comes with so many things already built in: ✅ Authentication system ✅ Admin dashboard ✅ ORM for databases ✅ Security protections (CSRF, SQL injection, XSS) In simple words: Django lets developers focus on building features, not reinventing the basics. That’s one reason why companies like Instagram and Pinterest have used Django at scale. 💡 Lesson: The best tools in tech often come from solving real problems under pressure. #Python #Django #WebDevelopment #Programming #SoftwareDevelopment #Tech #Inovation

🚀 Understanding the Basic CRUD Structure in Django When I started learning Django, one of the most powerful concepts I explored was the basic CRUD structure — the backbone of most web applications. CRUD stands for: 🔹 Create 🔹 Read 🔹 Update 🔹 Delete In Django, CRUD operations are clean, structured, and developer-friendly. Here’s how Django makes it simple: ✅ Model (Database Layer) Define your data structure using Python classes. Django automatically handles the database table creation. ✅ Views (Business Logic) Process requests and perform CRUD operations using Django ORM. ✅ Templates (Frontend Layer) Render dynamic data using Django Template Language (DTL). ✅ URLs (Routing Layer) Connect user requests to the appropriate view functions or class-based views. Example flow: Create → Save form data using ModelForm Read → Retrieve objects using .all() or .get() Update → Fetch object → Modify → Save Delete → Retrieve object → Delete → Redirect What I love most about Django’s CRUD structure is how readable and scalable it feels. With minimal code, you can build production-ready applications. #Django #Python #WebDevelopment #CRUD #BackendDevelopment #LearningJourney

🚀 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

🚀 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 

🚀 Leveling Up My Django Workflow: Today’s Learnings Today was all about moving beyond the basics of Django and streamlining how I interact with data. Whether it's automating tasks or mastering the ORM, these three pillars are game-changers for any dev's toolkit. 🛠️ 1️⃣ Pro-Level Scripting with django-extensions Stop copy-pasting code into a web view just to test logic! By using the runscript command, you can execute Python logic directly within your Django context. Setup: Create a scripts/ directory with an __init__.py. The Entry Point: Define a run() function in your file (e.g., orm_test.py). Execution: Just hit python manage.py runscript orm_test in your terminal. Clean and efficient. 2️⃣ Two Ways to Build: Creating Records I explored the two primary paths for persisting data to the database: Instantiate & Save: Great for when you need to perform logic or calculations on the object before committing it. obj = Restaurant() → obj.save() The .objects.create() Shortcut: The "one-and-done" method. Perfect for quick, readable insertions using keyword arguments. 3️⃣ Mastering the QuerySet Querying is where the Django ORM really shines. The biggest takeaway? Lazy Evaluation. 🐢 Django is smart—it won’t hit your database until you actually need the data (like when you iterate over it or print it). .all(): Grabs everything. .first() / .last(): Returns a single instance instead of a list. .count(): Efficiently counts rows at the database level rather than loading them into memory. And view Database model in SQLite. Learning the "Django way" makes development faster, cleaner, and much more scalable. On to the next challenge! 💻✨ #Django #Python #WebDevelopment #SoftwareEngineering #LearningInPublic #BackendDevelopment #DjangoExtensions

Django ORM Explained | Working with Models & QuerySets (EP 07) | Django Tutorial for Beginners 🚀 In this episode (EP 07), we explore Django Models and the ORM, one of the most powerful features of Django for building scalable web applications. This tutorial explains how Django’s Object-Relational Mapper (ORM) allows developers to work with databases using Python objects instead of writing raw SQL. Whether you are a beginner or improving backend skills, this video helps you understand practical Django database workflows. 🔹 What You’ll Learn: ✔️ How to define Django Models ✔️ Understanding model fields and relationships ✔️ Using migrations to create database tables ✔️ CRUD operations using Django ORM ✔️ QuerySets explained (filter, get, order_by, annotate) ✔️ Real-world ORM examples for clean backend code 🎯 Why This Matters: Django ORM simplifies database interaction, improves development speed, and keeps projects maintainable following the DRY principle. 🎧 Episode: EP 07 – Working with Django Models & ORM 💬 If you found this tutorial useful, LIKE 👍, SUBSCRIBE 🔔, and COMMENT your questions for future episodes. #Django #Python #DjangoORM #WebDevelopment #BackendDevelopment #ProgrammingTutorial #LearnPython #Coding #SoftwareEngineering