Bravin Ouma’s Post

Most beginners think Django is about building features. It is not. It is about controlling complexity. When I started revisiting Django, one thing became clear. The framework is opinionated for a reason. It forces you into patterns that prevent chaos as your system grows. Apps are not just folders. They are boundaries. Models are not just tables. They define relationships and constraints. Views are not just functions. They control how logic is exposed. When you ignore these boundaries, your project works early and collapses later. This is why structured learning matters. Even something simple like W3Schools can help you see how Django expects you to think before you start customizing everything. The real upgrade happens when you stop asking: “How do I build this feature?” and start asking: “Where does this belong in the system?” That question alone will improve your architecture more than any new tool. At Teklini Technologies, that is the discipline behind every backend system. Clear separation, predictable behavior, and scalability built into the foundation. If you are learning Django right now, look at your current project and ask yourself one thing: Is your code organized for today, or for growth? #Django #Python #BackendDevelopment #SystemDesign #CleanCode #SoftwareEngineering #TekliniTechnologies

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

A Python package to clean Django project junk and free space. Over time, my projects kept filling up with things I don’t actually need… __pycache__, .pyc files, logs, staticfiles, even old virtual environments. Cleaning them manually every time was just… annoying 😅 So I made something simple to handle it. 🧹 Django Cleaner It scans your folders, detects Django projects automatically, and removes all the unnecessary stuff safely — without touching your actual code. You just run: django-cleaner ~/Projects and it does the rest. What it handles: • Removes __pycache__ and .pyc files • Cleans logs and staticfiles • Optional removal of venv • Shows how much space you freed I kept it simple on purpose. No setup, no complexity — just something useful that works. Published it on PyPI 📦 🔗 https://lnkd.in/gSvj5U3Y Code on GitHub 👇 🔗 https://lnkd.in/gNur8fN3 This is one of those small things that actually makes working on multiple projects easier. If you use Django, it might help you too. #Python #Django #OpenSource #BuildInPublic #SoftwareDevelopment #BackendDevelopment #DeveloperTools #Programming #Tech #CleanCode #Productivity #CodingLife

Most developers underestimate how much damage “copy and paste coding” causes in the long run. It feels productive at first. You build fast. You see results. But when the system grows, everything starts breaking in places you did not plan for. I have been going back through Python and Django fundamentals with a different lens. Not just how to make things work, but why they work the way they do. The shift happens when you stop thinking in pages and start thinking in systems. A proper backend is not random files. It is a structured flow: User Request → Routing Layer → Business Logic → ORM Layer → Database Transactions → Response Handling If any layer is unclear, debugging becomes guesswork instead of engineering. This is where most developers struggle when moving from tutorials to real applications. Not because Django is hard, but because the structure was never learned properly. At Teklini Technologies, the focus is always the same. Build systems that are readable, maintainable, and predictable under growth. Speed comes after clarity. Not before it. If you are currently building with Django, take one project and refactor it with structure in mind. You will learn more in that process than in five new tutorials. What part of your backend has caused you the most unexpected bugs? #Python #Django #SoftwareDev

🚀 Using Django Signals to Handle File Attachments Like a Pro One of the cleanest patterns I’ve implemented recently in Django was using signals to manage attachment files automatically — no clutter, no messy logic inside views. 👇 📌 The Problem Handling file attachments (uploads, updates, deletions) directly in views or models can quickly get messy and hard to maintain. 💡 The Solution: Django Signals I used signals to decouple file handling logic from the core application flow. ⚙️ What I Achieved ✔️ Automatically process files after upload ✔️ Clean up old attachments when a file is updated ✔️ Delete associated files when a record is removed 🔥 Why This Approach Works Keeps views lightweight and focused Ensures automatic cleanup (no orphan files!) Improves code maintainability and scalability ⚠️ Lesson Learned Signals are powerful—but use them intentionally. Keep logic simple and avoid hidden side effects. 💬 Final Thought Small architectural decisions like this can make a big difference in long-term project health. Have you ever used signals for file handling or cleanup tasks? Would love to hear your approach 👇 #Django #Python #BackendDevelopment #CleanCode #SoftwareEngineering

Day 16 of my Python Full Stack journey. ✅ Today's topic: OOP — Object Oriented Programming. The biggest concept in Python so far. And the most important one for Django. Here's what clicked today: Everything in Python is an object. A class is just a blueprint for creating objects. Here's what I typed today: # Class = blueprint class Student: def __init__(self, name, marks): self.name = name self.marks = marks def result(self): if self.marks >= 50: return f"{self.name} — Pass ✅" return f"{self.name} — Fail ❌" # Object = actual instance built from blueprint s1 = Student("Punith", 88) s2 = Student("Rahul", 42) print(s1.result()) # Punith — Pass ✅ print(s2.result()) # Rahul — Fail ❌ Why this matters for Django: → Every Django Model is a class → Every Django View can be a class → Every Django Form is a class If you don't understand OOP — Django will feel like magic. If you do — Django will feel like logic. Today Django finally started making sense. 🤯 What concept made Django finally click for you? #PythonFullStack #Day16 #OOP #BuildingInPublic #100DaysOfCode #Bangalore

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

Day 14 of my Python Full Stack journey. ✅ Today's topic: File Handling — making data survive after the program closes. This is where Python stops feeling like exercises and starts feeling like real software. Here's what I typed today: # Writing to a file with open("students.txt", "w") as file: file.write("Punith: 88\n") file.write("Rahul: 92\n") # Reading from a file with open("students.txt", "r") as file: content = file.read() print(content) # Appending to a file with open("students.txt", "a") as file: file.write("Priya: 76\n") Biggest lesson today: Always use 'with open()' instead of just open(). It automatically closes the file even if an error occurs. One line saves you from a lot of headaches. ✅ Why this matters for Django: → Django reads config files on startup → Log files track every request your app receives → Media uploads are files stored on your server Understanding file I/O now makes all of that make sense later. Two weeks done. Still showing up every single day. 💪 #PythonFullStack #Day14 #BuildingInPublic #100DaysOfCode #Bangalore

Day 2/7 – Django Projects Challenge 🚀 Today’s project was a Student Record Management System built with Django. This project was especially useful because it helped me understand something very important in backend development: 👉 How real-world data is connected and managed ✅ Features implemented: Student management Course management Marks management Student detail view Search and filter functionality 📚 Concepts I strengthened: Django models ForeignKey relationships Django ORM CRUD operations Template rendering with related data What I liked most about this project is that it was not just about creating pages — it actually helped me think more about database design and backend logic. Step by step, this challenge is helping me become more confident with Django through hands-on practice. Excited for Day 3 🚀 Github Link => https://lnkd.in/gU5tx-mZ #Django #Python #BackendDeveloper #WebDevelopment #Programming #SoftwareEngineering #BuildInPublic #LearningJourney #DeveloperJourney #TechProjects

Most beginners ask: 👉 “Django or Flask?” Here’s the real answer (from experience) 👇 🔹 Use Django when: You need a full-fledged application Authentication, admin panel, ORM are required You want faster development with built-in features 🔹 Use Flask when: You need a lightweight service Building microservices or small APIs You want full control over components 💡 Real-world example: If I’m building an e-commerce platform → Django If I’m building a small internal API → Flask 👉 It’s not about which is better 👉 It’s about which fits your use case What do you prefer — Django or Flask? #Python #Django #Flask #BackendDevelopment #Programming