Django CRUD Structure Explained

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

⚔️ Django vs Flask — Every Python developer faces this confusion at some point…I did too. At first, I thought: “Both are frameworks… so does it even matter which one I pick?” 🤔 But once I started building real projects, I realized: 👉 Choosing the right framework can save you hours (or even days) of effort. Here’s a simple way to understand it 👇 🚀 Django = “Batteries Included” Framework Django gives you almost everything out of the box: -->Authentication system 🔐 -->Admin panel 📊 -->ORM (database handling) 💥 Built-in security features Best for: Large applications E-commerce platforms Structured projects 👉 Think: Less setup, faster development ⚡ Flask = Lightweight & Flexible ✨ Flask keeps things minimal: > No built-in tools (you choose what to add) > Simple to start >Highly customizable Best for: Small projects APIs 🎯 Experimenting & learning 👉 Django = “I want to build fast with structure” 👉 Flask = “I want full control and flexibility” 🚀 My experience: When I started building full-stack projects, I leaned towards Django because it helped me move faster without worrying about setup. 💬 Now I’m curious… If you had to pick ONE for your next project, what would it be? 🔥 Django ⚡ Flask 🤔 Depends on the project Drop your answer below 👇 and let’s discuss! #Python #Django #Flask #WebDevelopment #BackendDevelopment #FullStackDeveloper #DevelopersCommunity

✨ Understanding Django Forms – Simplifying User Input Handling One of the most powerful features in the Django framework is Django Forms. When I started learning Django, handling user input felt complex — validation, cleaning data, displaying errors… it seemed like a lot! But Django Forms made everything structured and secure. 🔹 Why Django Forms are powerful: - Built-in form validation - Automatic error handling - Cleaned and validated data - CSRF protection for security - Easy integration with models using ModelForm Instead of manually validating every field, Django allows us to define form fields clearly in forms.py, making code cleaner and more maintainable. 💡 What I love most is how Django separates business logic from presentation. Forms handle validation, views handle logic, and templates handle display — clean architecture! If you're learning Django, mastering Forms is a big step toward building secure and professional web applications. #Django #Python #WebDevelopment #BackendDevelopment #LearningJourney

🐍 90 Days of Python Full Stack – Day 49 Django Models & Database Integration Today, I moved deeper into Django by understanding how it connects applications to databases using Models. 🔹 Concepts Covered: ✅ What are Django Models? ✅ Defining models using Python classes ✅ Fields (CharField, IntegerField, DateField, ForeignKey, etc.) ✅ Running makemigrations and migrate ✅ Understanding Django ORM (Object Relational Mapping) ✅ Performing CRUD operations using models Django models act as a bridge between Python code and the database. Instead of writing raw SQL queries, Django ORM allows us to interact with the database using Python objects. This is a major step in becoming a full stack developer, because now the backend can: • Store user data • Manage relationships between tables • Handle dynamic content • Connect frontend with real database records 📌 Day 49 completed — building the backbone of web applications with Django Models. 👉 What do you prefer: Writing raw SQL or using an ORM like Django? #90DaysOfPython #Django #PythonFullStack #WebDevelopment #BackendDevelopment #LearningInPublic 🚀

When learning Django, making mistakes is part of the journey. Looking back, there are a few things that would have saved a lot of time if understood earlier. Here are 3 mistakes made while learning Django: 1. Skipping the fundamentals Jumping directly into advanced topics without fully understanding Django models, ORM, and request/response flow made things confusing later. Strong fundamentals make everything easier. 2. Not thinking about database design early While building projects, database structure was sometimes treated as an afterthought. Later, changes became harder. Good schema design saves a lot of effort. 3. Ignoring deployment and production concepts At first, focus was only on making code work locally. Learning about Docker, deployment, and production environments later showed how important they are for real-world applications. Over time, working on real projects, integrating APIs, and building scalable backend systems helped correct many of these mistakes. Still learning every day - and that’s the best part of this field. For anyone learning Django right now: Focus on fundamentals, build projects, and understand how things work in production. #Python #Django #BackendDevelopment #WebDevelopment #LearningJourney

🚀 **Handling Forms in Django: From HTML Forms to ModelForms** Podcast: https://lnkd.in/gScjk7UU Understanding how to manage user input is one of the most important skills in Django development. A well-structured form system improves security, data accuracy, and overall user experience. Here are the key takeaways from working with Django forms 👇 🔹 **HTML Forms Basics** Every form starts with HTML. Inputs like text fields, emails, checkboxes, and submit buttons allow users to send data to the server. However, HTML alone does not handle validation or security effectively. 🔹 **Django Forms (forms.Form)** Django’s Form class makes input handling cleaner and safer. ✔ Built-in validation ✔ Automatic data cleaning ✔ Easy rendering in templates using `{{ form.as_p }}` ✔ Smooth processing in views using `form.is_valid()` 🔹 **ModelForms (forms.ModelForm)** ModelForms reduce boilerplate code by connecting forms directly to database models. ✔ Auto-generated fields from models ✔ Validation inherited from model definitions ✔ Direct database save with `form.save()` 🔹 **Custom Validation** Django allows field-level and form-wide validation using: • `clean_<fieldname>()` for specific fields • `clean()` for overall form checks This ensures clean, secure, and business-rule-compliant data before saving. 🔹 **Best Practice Insight** Client-side validation (JavaScript) improves UX, but server-side validation in Django should always remain the final security layer. 💡 **Key takeaway:** Django forms are not just about capturing input. They provide a structured, secure, and scalable way to manage data flow from users to your database. #Django #Python #WebDevelopment #BackendDevelopment #FullStackDevelopment #SoftwareEngineering #CodingJourney #Programming

🚀 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 vs FastAPI — Which One Is More Pythonic and Faster? (Engineering View) When engineers choose a backend framework, the real questions are simple: • Which framework is more Pythonic? • Which one is faster under load? • Which one follows Python behavior more naturally? Let’s look at it from an engineering perspective. 🧠 1. Pythonic Design FastAPI feels very close to writing normal Python. It relies heavily on modern Python features: Type hints Async/await Clean function-based APIs Example: @app.get("/users/{id}") async def get_user(id: int): return {"id": id} Your Python types become validation, documentation, and API schema automatically. Django, however, follows a framework-centric design with: class-based views Django ORM patterns configuration-heavy structures This makes Django powerful but sometimes less close to plain Python behavior. ✅ Result: FastAPI feels more Pythonic. ⚡ 2. Performance FastAPI is built on ASGI architecture. That means: async I/O high concurrency non-blocking request handling Under high traffic, FastAPI can handle significantly more requests per second. Django traditionally runs on WSGI, which is mostly synchronous. It’s extremely stable but not optimized for high-concurrency APIs by default. ✅ Result: FastAPI is usually faster for API workloads. ⚙️ 3. Engineering Philosophy FastAPI focuses on: • modern API architecture • microservices • async performance • minimal abstraction Django focuses on: • full web applications • rapid development • batteries-included ecosystem • admin panel, ORM, authentication 🎯 Engineering Takeaway If you want: ✔ Clean Python design ✔ High-performance APIs ✔ Modern async architecture ➡ FastAPI is often the better engineering choice. If you want: ✔ A complete web framework ✔ Built-in admin panel ✔ ORM and authentication ready ➡ Django remains one of the most productive frameworks. Both frameworks are excellent. The best choice depends on the system you are designing. #Python #FastAPI #Django #BackendEngineering #SoftwareArchitecture #APIDesign

🚀 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

🚀 Day 59 – File Uploads & Media Handling in Django REST Framework Today I explored how to handle file uploads and media management in Django REST Framework, an essential feature for building real-world web applications. Most modern applications require users to upload files such as profile pictures, documents, or product images, so understanding how to manage media efficiently in APIs is crucial. 🔹 Concepts Covered • Working with FileField and ImageField in Django models • Configuring MEDIA_URL and MEDIA_ROOT • Creating API endpoints for file uploads • Handling multipart/form-data requests • Uploading files using Postman or API clients • Serving media files during development 💡 Key Takeaway Handling media files correctly ensures that applications can support features like: ✔ Profile picture uploads ✔ Document management systems ✔ Product image uploads in e-commerce ✔ User-generated content platforms By integrating file upload APIs, the backend becomes more powerful and closer to real-world production systems. 📌 Learning full-stack development step by step through my 90 Days of Python Full Stack Journey. #Python #Django #DjangoRESTFramework #BackendDevelopment #FullStackDeveloper #90DaysOfPython