Hari Systems’ Post

🐍📈 Become a Python Web Developer This learning path will provide you with the foundational skills you need to become a Python web developer. You’ll cover the most popular Python web development frameworks & working with databases. #python #learnpython

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

🚀 Python in Web Development Python makes web development faster, cleaner, and more scalable. With powerful frameworks like Django, Flask, and FastAPI, it’s a top choice for building modern web applications. 💡 Simple. Powerful. Reliable. #Python #WebDevelopment #Backend #Programming #Tech

🚀 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

Python vs JavaScript: Python - Clean, beginner-friendly - Best for AI, data science, backend - logic & data JavaScript - Runs in the browser - Essential for web development (frontend + backend with Node.js) - web & interactivity #Python #JavaScript #WebDevelopment #Coding

PHP vs Python — one powers the web, the other powers the future. PHP excels in fast, scalable web development, while Python leads in AI, automation, and data-driven solutions. Choose based on your goals.

💡 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

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

The Reality of Python Developers (We've All Been There) At some point in your journey, you've probably: Copied code from Stack Overflow... and prayed it works Debated Django vs Flask like it's a life decision Started learning a "new library" every other week Spent 30 minutes writing code... and 2 hours fixing environment issues Waited for pip install like it's downloading the entire internet And somewhere in the middle of all this chaos... You tell yourself: "Yes, I am building something meaningful." Here's the truth This messy phase isn't confusion it's growth in disguise. Every error you debug Every library you explore Every "why is this not working??" moment It's shaping you into a real developer. But the people who actually move ahead are not the ones who know everything... They're the ones who: Stick to one path long enough Build real projects (even messy ones) Focus more on creating than just consuming tutorials From chaos to clarity that's the journey. So if you're still figuring things out... Good. You're exactly where you need to be. What's the most "relatable Python struggle" you've faced? #Python #Programming #Developers #CodingLife #DataScience #WebDevelopment #Automation #Learning Journey The World of Python Developers

I built a project using Python & Django 🚀 Here’s what it does: 🔹 Handles real-time requests 🔹 Built REST APIs 🔹 Optimized database queries Biggest learning: 👉 Writing code is easy 👉 Writing efficient code is HARD Always optimize. Always improve. #Projects #DjangoDeveloper #PythonProjects #BuildInPublic #Python #Django #BackendDeveloper #TechCareers #hiring #hire #developer #dailypost