Django Views: Function vs Generic Class-Based

Every framework you have ever used is just design patterns written in production code. Day 06 of 30 -- Design Patterns in Python Advanced Python + Real Projects Series Django post_save is the Observer pattern. DRF renderer_classes is the Strategy pattern. logging.getLogger() is the Singleton pattern. @app.route is the Decorator pattern. Most developers use all of these every day without knowing the names. Today's Topic covers: Why patterns exist and the 3-category decision framework 6 patterns every Python backend developer must know Singleton with double-checked locking for thread safety Factory with self-registering decorator pattern Observer event bus with decorator-based subscriptions Strategy using typing.Protocol for structural subtyping Real scenario -- Factory + Strategy + Observer in one order pipeline 6 mistakes including pattern hunting and Observer without error isolation 5 best practices including why Python functions are strategies Key insight: Design patterns are not solutions you add to code. They are names for solutions already in your code. Phase 1 complete -- 6 days of Python internals done. #Python #DesignPatterns #SoftwareEngineering #BackendDevelopment #Django #FastAPI #100DaysOfCode #PythonDeveloper #TechContent #BuildInPublic #TechIndia #CleanCode #PythonProgramming #LinkedInCreator #LearnPython #PythonTutorial

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "F()" 𝗲𝘅𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀 let you perform 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲-𝗹𝗲𝘃𝗲𝗹 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗳𝗲𝘁𝗰𝗵𝗶𝗻𝗴 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗣𝘆𝘁𝗵𝗼𝗻. Instead of this: - Fetch object - Modify value - Save it back You can update directly in the database. 🔧 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: - Incrementing counters ("views", "likes") - Updating balances safely - Avoiding race conditions in concurrent updates Less round trips = faster and safer operations. #Django #Python #BackendDevelopment #WebDevelopment #PerformanceOptimization #SoftwareEngineering #CodingTips #DatabaseOptimization #FullstackDeveloper

I was debugging a Django service last week and hit a classic problem memory growing silently across requests, no obvious culprit. The usual suspects (tracemalloc, memory_profiler, objgraph) are great tools. But I wanted something I could drop on any function in 30 seconds and get a readable answer from. Also, honestly I wanted to understand what's happening at the GC and tracemalloc abstraction layer in Python. The best way I know to understand something is to build on top of it. So I built MemGuard over a weekend. What it does: Drop @memguard() on any function and after every call you get: Net memory retained (the actual leak signal) Peak vs net ratio — catches memory churn even when net looks clean Per-type gc object count delta tells you what is accumulating, not just how much Cross-call trend detection if net grows every call, it flags it Allocation hotspots via tracemalloc exact file and line Zero dependencies. Pure stdlib gc, tracemalloc, threading. @memguard() def process_batch(records): That's it. It also works as a context manager if you want to profile a block rather than a function. Biggest thing I learned building this: Python's gc and tracemalloc expose far more than most people use day to day. The object-reference graph alone tells a story that byte counts miss entirely. Repo: https://lnkd.in/gdjkHvfb Would love feedback from anyone who's dealt with Python memory issues in production. #Python #Django #SoftwareEngineering #OpenSource #BackendDevelopment #MemoryManagement

💡 𝗧𝗶𝗽 𝗼𝗳 𝘁𝗵𝗲 𝗗𝗮𝘆 — 𝗗𝗷𝗮𝗻𝗴𝗼 𝗗𝗶𝗱 𝘆𝗼𝘂 𝗸𝗻𝗼𝘄? Django’s "annotate()" lets you add 𝗰𝗮𝗹𝗰𝘂𝗹𝗮𝘁𝗲𝗱 𝗳𝗶𝗲𝗹𝗱𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗾𝘂𝗲𝗿𝘆𝘀𝗲𝘁𝘀. Instead of processing data in Python after fetching it, you can compute values at the 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗹𝗲𝘃𝗲𝗹. 🔧 𝗖𝗼𝗺𝗺𝗼𝗻 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀: - Counting related objects ("Count") - Calculating averages ("Avg") - Adding computed fields to API responses This reduces data processing in your app and leverages the power of your database. Smarter queries = faster apps. #Django #Python #BackendDevelopment #WebDevelopment #DatabaseOptimization #PerformanceOptimization #SoftwareEngineering #CodingTips #FullstackDeveloper

I used to think my Python UI code was "fine"—until I tried to write a unit test for it. 🤯 If you've ever felt trapped between Choosing #Streamlit or #Gradio, or if you've struggled with code that’s impossible to test without launching a browser, this article is for you. I've been working on #AgnosticPyUI to prove that we can apply the same clean architecture patterns we use in our backends to our frontend Python code. Decoupling your UI library from your logic isn't just about flexibility; it's about peace of mind. Read more about it in my latest Medium post: https://lnkd.in/eZpjQxqA I'd love to hear your thoughts on this! Which one do you prefer using? #PythonDevelopers #DataScience #Testing #SoftwareEngineering #OpenSource

Most Django developers don’t realize this… The ORM is silently killing their performance. I’ve seen APIs go from: ⚠️ 300 queries → ⚡ 3 queries Just by fixing QuerySet usage. In this carousel, I broke down: - N+1 problem - select_related vs prefetch_related - F expressions - Real production mistakes If you're working with Django, this is a must-know. Full guide here 👇 https://lnkd.in/dVuaXBMq #Django #Python #DjangoORM #WebDevelopment #BackendDevelopment #SoftwareEngineering #DatabaseOptimization #ProgrammingTips #Developers #CodingLife #BuildInPublic

🚀 Turn any Python CLI script into a modern GUI – with zero extra dependencies. I just open‑sourced PyScript-to-GUI, a tool that instantly wraps your command‑line scripts into a clean, functional graphical interface. ⚡ No more boring terminals. Your users get a real window with dark mode, real‑time output, and interactive input dialogs – without writing a single line of GUI code. ✨ Key features: ✅ Zero external dependencies – uses only tkinter (built into Python) ✅ Smart input() handling – automatically converts prompts into pop‑up dialogs ✅ Live logging – all print() output appears in a scrollable terminal‑style area ✅ Multi‑threaded – the GUI never freezes, even during heavy tasks ✅ Hacker aesthetic – dark grey + lime green theme, ready to impress 🔧 Perfect for: Sharing your scripts with non‑technical colleagues Building quick internal tools with a professional look Teaching Python without scaring beginners with the terminal 🔗 GitHub repo: https://lnkd.in/dDpXCYSk 👨💻 Built by NULL200OK – because every script deserves a beautiful face. #Python #GUI #Tkinter #OpenSource #DeveloperTools #CLItoGUI #PyScriptToGUI #Coding

📌 One thing I underestimated while learning Django: The database. At first, I thought: "Models are just tables." But while building projects, I realized: 👉 Database design decides how clean your backend will be. Bad design = complicated queries + repeated logic + messy relationships Good design = simpler views + cleaner APIs + better performance Now I spend more time thinking about models before writing views. Your code depends on your data structure more than you think. Do you plan your database first or just start coding? #Django #BackendDevelopment #Python #LearningInPublic

Better tools. Better code. Less stress. I shared 7 Python libraries that completely changed how I build automation projects. Check out the full article on my Medium account. Medium:@talhaulfat93