Streamline Python Dev Setup with devit

🚀 Day 17 – Python API Integration Today I explored the power of Django REST Framework and how it simplifies building RESTful APIs in Python. 🔹 Key takeaways: Understood how Django REST Framework extends Django to build APIs efficiently Created a Django project and app structure (countryapi, countries) Built a Model (Country) to represent data Learned how Serializers convert Django models into JSON Used ModelViewSet to handle CRUD operations automatically Configured DefaultRouter to generate API endpoints 🔹 Implemented API endpoints: GET → Retrieve countries POST → Create new country PUT / PATCH → Update data DELETE → Remove data 💡 What stood out: Django REST Framework reduces a lot of boilerplate by providing built-in tools for serialization, routing, and request handling — making API development faster and more structured. 📌 This is a big step forward in building production-ready backend systems. #Python #DataEngineering #Django #DjangoRESTFramework #APIs #BackendDevelopment #LearningJourney #selfLearning

Day 02 of 30 | Django MVT Pattern 🐍 Before writing any code in Django, you need to understand how it thinks. MVT = Model + View + Template. Every request your user makes follows this exact flow: → Browser sends a request → urls.py routes it to the right View → View asks the Model for data → Model queries the database → View sends data to the Template → Template renders HTML and returns it to the browser I made a video explaining each part. My English is A2. The diagram helps. 👀 #Django #Python #30DaysOfDjango #LearningInPublic #Developer #SaaS

Optimizing Django Queries: How to Avoid N+1 Problems One of the quickest ways to slow down your Django backend is the classic N+1 query issue. While working on Inboxit, I had to be deliberate about this especially when dealing with relationships between models. The fix I use most often: prefetch_related() It’s perfect for optimizing reverse relationships (when you have a ForeignKey pointing to your model and you need to access related data). Instead of making one query per object (which explodes with more records), prefetch_related fetches all the related data in just two queries one for the main objects and one for the related ones. This small change keeps response times fast and your API scalable as usage grows. Have you run into N+1 issues in your Django projects? What’s your go-to optimization technique? #Django #DRF #Python #BackendDevelopment #QueryOptimization #TechNigeria #webdev

Supply Chains this, Supply Chains that, we all know the deal lately 🫠 I pulled together a new post on hardening the software supply chain with good practices, sprinkled in with some recent and cited write-ups (including public reporting and analysis around incidents like LiteLLM on PyPI, Shai-Hulud, etc etc) I also lined that up with what I’ve actually done locking down npm / JavaScript, Python, and Go in my own pipelines: hash-aware lockfiles (specifically with Python), attestations, cooldowns on brand-new releases, continuous dependency scanning across the full tree, why SBOMs matter once they’re saved as build artifacts and why one measure isn't a silver bullet, all the good stuff. If you’re tired of “pin the version and hope" (spoiler alert, it's not enough) then it’s a practical read. 😆 Read it here: https://lnkd.in/gXuB57Ah #SoftwareSupplyChain #DevSecOps #AppSec #npm #go #pip #uv #python #SCA

Your Django app might be slow… and you don’t even know why 👇 One common mistake: ❌ Fetching related data inefficiently Here’s how I fixed a slow API 👇 Before ❌ Multiple DB queries (N+1 problem) After ✅ Used select_related for ForeignKey Used prefetch_related for ManyToMany 💡 Result: Response time reduced from seconds → milliseconds 👉 Rule I follow: select_related → JOIN (single query) prefetch_related → Separate queries, optimized Small changes = huge performance boost 🚀 Have you faced performance issues in Django? #Django #Python #PerformanceOptimization #BackendDeveloper #Database #DjangoDeveloper #DjangoTips #PythonDeveloper #BackendDevelopment #DjangoRestFramework #APIDevelopment #ServerSide #Programming #SoftwareDevelopment #CodingLife #DevCommunity

Django Forms vs ModelForms If you're building with Django, you've probably seen Forms and ModelForms… but knowing when to use each is what makes your code cleaner and more efficient 👇 Django Forms...Great for: - Custom forms (contact forms, search forms) - Data not tied to the database - Advanced/custom validation logic Django ModelForms...Great for: - Database-driven forms - CRUD operations (Create, Update, Delete) - Rapid development with less code Use Forms when flexibility matters. Use ModelForms when working directly with models to save time and avoid repetition. Which one do you use more in your projects? #Django #Python #WebDevelopment #BackendDevelopment

Building APIs shouldn’t feel repetitive. That’s exactly where Django REST Framework (DRF) shines. It abstracts the repetitive parts of backend development—while still giving you control when you need it. You don’t just build APIs faster, you build them cleaner: • Structured serializers • Reusable viewsets • Clear separation of concerns If you’re using Django and not leveraging DRF yet, you’re probably writing more code than you need to. smartData Enterprises Inc. #DjangoRESTFramework #SoftwareEngineering #APIs #Python #smartDataEnterprisesInc

PySpector v0.1.8 is out🚀 Me and the PySpector Core Team worked really hard to deploy this version, so here's what changed: - A new vulnerability leading to arbitrary code execution via plugin bypass was patched (and its #GHSA was published) - Docs were updated and improved🫡 - We fixed a bug preventing the generation of html reports, as well as 2 other bugs preventing the --wizard and -- supply-chain flag from working properly - We expanded error messages during #AST file parsing and added a new #CLI flag to enable Python SyntaxWarnings during code scanning - And last we (finally) expanded support for Python up to the latest #Python3.14 (while before v.0.1.8, Python support stopped at #Python3.12) Thanks to all the #contributors and the awesome SecurityCert community who made this possible🫶 Repo: https://lnkd.in/d7CppftJ

Python Tracebacks in Claude Code? Hide the Framework Frames Created by jidonglab A Django traceback for a simple TemplateDoesNotExist error is 40+ lines. 35 of those lines are Django internals — django/template/loader.py, django/core/handlers/base.py, django/middleware/common.py. Your AI doesn't need to read Django's source to fix your missing template path. But it does, ever... link https://lnkd.in/ebnuWwJt pubDate Mon, 06 Apr 2026 03:27:55 +0000

💡Python – Simple to Learn, Powerful to Build Python is one of the most beginner-friendly and powerful programming languages. Its clean syntax makes coding easy to read, write, and maintain, while its vast ecosystem allows developers to build anything from automation scripts to scalable web applications. To build strong Python skills for backend development with Django, Flask, and FastAPI, mastering key modules is essential. 🔹 Core Modules: os, sys, datetime, json, re, collections📐 🔹 Backend Utilities: logging, pathlib, functools, argparse 🔹 Web/API Modules: requests, hashlib, uuid, secrets🌐 🔹 Async Programming (FastAPI): asyncio, concurrent.futures🎯 🔹 Database Modules: sqlite3, sqlalchemy, psycopg2♟️🧩 With a solid understanding of these modules, developers can easily build REST APIs, automate tasks, manage databases, and develop scalable backend systems.🖥️🖲️ #Python #Django #Flask #FastAPI #BackendDevelopment #PythonDeveloper #APIDevelopment #SoftwareEngineering