Django API Development: Lessons Learned

Generic Views vs Function Views in Django Function-Based Views (FBVs) Simple Python functions. Full control over logic. ✅ Easy to read & debug ✅ Great for custom or complex logic ❌ Code repetition across views ❌ Harder to extend/reuse Use when: You need custom behavior or one-off endpoints. Generic Class-Based Views (GCBVs) Pre-built views for common patterns (List, Detail, Create, Update, Delete). ✅ Less boilerplate — DRY code ✅ Easy to extend with mixins ❌ Steeper learning curve ❌ Can feel like “magic” — harder to debug Use when: You’re building standard CRUD operations. #Django #Python #WebDevelopment #BackendDevelopment

Spent the last few days messing around with Django to build a simple URL shortener. Wanted to get more comfortable with the ORM and custom auth, so I focused mostly on the backend logic rather than the UI. Implemented Base62 encoding for the short keys, a basic user system so people can actually manage their own links, and some simple click tracking to see if the redirects are actually working. It was a good exercise in mapping database relationships and handling redirects properly. #Python #Django #WebDev #Backend #CodingPractice

Developer Unveils Nox a Tree-Walking Interpreted Language Built Entirely in Pure Python 📌 A developer has built Nox - a fully Python-native, tree-walking interpreted language with no eval or exec, supporting async/await, C++ FFI, and web apps. Its clean syntax and extensible toolchain let you build binaries and manage packages all in pure Python, even spinning up a GitHub-powered package manager and HTTP server - all from scratch. 🔗 Read more: https://lnkd.in/dgnZejGT #Nox #Python #Treewalking #Interpreter #Ast

Today, I deepened my understanding of backend development using Python and Flask. What I learned: ✔️ How Flask handles routing ✔️ GET vs POST requests ✔️ Connecting frontend forms with backend logic ✔️ Basic project structure organization Understanding how data flows between client and server made the concepts much clearer. Step by step, I’m building a strong foundation in backend development. #Python #Flask #BackendDevelopment #WebDevelopment #LearningJourney

⚡ Stop being forced to write API scripts in a language you don’t use. From this latest release, Voiden lets you write pre- and post-request scripts in #Python, #JavaScript, ( + more languages to follow soon). What we added: - JavaScript + Python (first-class): use the language you already know and trust - Real runtimes & package imports: run actual code, import libraries, and reuse existing logic - Stateful workflows: share variables, store data, and chain requests dynamically - Orchestration-ready: automate multi-step flows, token rotations, and dependent API calls Not helper scripts. Real programmable infrastructure inside your API client. Which other language would you want to see? GitHub: https://lnkd.in/d4rG6PcU Download: https://voiden.md/download

Stop "Awaiting" Everything: The Hidden Cost of Async Python 🐍 Is your Python codebase turning "Red"? In the world of FastAPI and modern web frameworks, we’ve fallen into a trap: the belief that prefixing every function with async makes our code "faster." But if you’re using async for simple logic or CPU-heavy tasks, you might actually be: 1. Adding "Micro-Stalling": Forcing simple logic through the event loop's scheduling machinery actually slows it down. 2. Hogging the Loop: One CPU-bound "async" function can freeze your entire server. 3, Increasing Cognitive Load: When everything is awaitable, nothing stands out as a genuine I/O bottleneck. I just wrote a deep dive on why "Sync" is often the superior choice for internal logic, data science, and simple utility functions. Check out the full breakdown here:

Django makes it dangerously easy to move fast. Generic views. Model forms. Auto-generated admin. DRF viewsets. At the beginning, these tools feel like superpowers. Later, they can quietly become constraints. One lesson that stuck with me: Convenience abstractions are amazing — until your business logic stops being generic. That’s when you start fighting: tightly coupled serializers implicit behavior rigid viewsets hidden performance costs Senior Django development is knowing when to embrace the framework — and when to step outside of it. Abstractions save time. Understanding their limits saves systems. Hashtags #Django #SoftwareDesign #BackendEngineering #Python #CleanCode #SystemDesign

🚀 Most Python APIs fail because of performance and scalability - not code. After building and optimizing multiple backend systems, I realized many developers struggle with the same FastAPI mistakes. So I wrote a complete 2026 guide on building high-performance Python APIs with FastAPI - covering: ✅ Clean project structure ✅ Async best practices ✅ Authentication & security ✅ Performance optimization ✅ Production deployment ✅ Real-world examples If you’re serious about building APIs that scale, this will save you months of trial and error. 📖 Read it here: 👉 https://lnkd.in/gyW8RtRV What’s the biggest challenge you face with APIs right now? Let’s discuss 👇💬 #Python #FastAPI #BackendDevelopment #WebDevelopment #APIs #SoftwareEngineering #TechBlog

🚀 Python 3.14 — Back to the Interpreter. Back to the Basics. Today I went back to where everything starts: An Informal Introduction to Python. https://lnkd.in/d4NN7cmG # Launch Python 3.14 explicitly (Windows launcher) C:\Users\John> py -3.14 # This is a comment → ignored by Python # Remember. This is a comment. # This is NOT a comment because it's inside quotes text = "# This is not a comment." # Addition 7 + 4 # Subtraction 50 - 37 # Order of operations (multiplication first) (100 - 5 * 7) # True division → float 17 / 3 # Floor division → integer 17 // 3 # Modulo → remainder 17 % 3 # Exponentiation 2 ** 10 # Store resolution values width = 1920 height = 1080 # Calculate total pixels (Full HD) width * height 💥 Fail Fast # Access undefined variable size → NameError 🔁 REPL Superpower: _ # `_` holds the last result in interactive mode width - _ 🎯 My Take Deep systems aren’t built on complexity. They’re built on mastery of fundamentals. Whether you’re building: A Django backend A distributed system An AI-powered application It all starts here — with clean thinking. “If you want to fly high, take a deep dive.” #Python #Django #Backend #SoftwareDevelopment #DeepDive