Uvicorn for Fast Python Web Development

So, you wanna build a fast Python web app - Uvicorn's your guy. It's a high-speed server that helps run your code and handle web requests like a pro. You can get it up and running with just a few keystrokes: pip install uvicorn, and you're good to go. Here's the thing: Uvicorn's really easy to use. Create a file, add some code - like this async function that sends a response - and you're off. Run it with uvicorn main:app --reload, and you'll see what I mean. It's fast, it's simple, and it just works. Fast. Uvicorn can handle thousands of connections at the same time, no sweat. And if you need even more speed or special features, there are other options - like Hypercorn for HTTP/3 support, or Daphne for Django Channels. But, let's get real - how does Uvicorn stack up against other languages? It's no slouch, but it's not the fastest kid on the block either. Unicorn can handle 150k requests per second, which is nothing to sneeze at. But then you've got Nodejs, Go, and Rust, which can all handle over 1M requests per second - that's a whole different ball game. So, what's the secret to keeping your server running smoothly? Offload those heavy tasks, man - use run_in_executor for blocking code, and you'll be golden. And, at the end of the day, if you're building a modern Python web app, Uvicorn's a solid choice. It's all about balance - ease of use, speed, the whole nine yards. Check out this article for more info: https://lnkd.in/gzcKybY5 if you're looking for a community to learn from, join us here: https://t.me/GyaanSetuAi #Uvicorn #PythonWebDevelopment #AsyncProgramming

I built a web browser (kind of) from scratch. And yes, it runs on Python. We stare at web browsers all day, but rarely stop to think about the sheer engineering magic happening behind that URL bar. How does a string of HTML turn into pixels? How does display: flex actually know where to put things? I decided to stop wondering and start building. I’ve been deep in the trenches building a custom browser engine from the ground up in Python. No Chromium wrapper. No WebKit. Just raw code handling everything from the network layer to the final pixel paint. But here’s the twist: It doesn’t use JavaScript. I wanted to explore a "what if" scenario: What if Python was the first-class language of the web? In this prototype, instead of  <script> , you write  <script type="text/python"> You manipulate the DOM, handle click events, and animate styles, all using native Python code running directly in the browser. Some of the engineering wins: ✅ Custom Layout Engine: I had to write my own Flexbox and Grid implementation. (Respect to browser engineers, like always for me math is hard). ✅ Time Travel Debugging: Since the engine tracks every state change, I built a slider that lets you "rewind" your user session to see exactly how the UI looked seconds ago. ✅ Hot Reload: Because waiting for refreshes is not cool (sometimes it is). It’s not going to replace Chrome tomorrow. It’s strictly a research prototype. But seeing my own engine parse HTML and execute Python to render a live, interactive page? That’s a feeling hard to beat. It reminded me why I love engineering in the first place, taking the "magic" apart until it’s just logic. Repo: https://lnkd.in/gXzBgcNn #Python #SoftwareEngineering #WebDevelopment #BrowserEngine #OpenSource #Coding

𝗜 𝗯𝘂𝗶𝗹𝘁 𝗺𝘆 𝗳𝗶𝗿𝘀𝘁 𝗔𝗜-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗴𝗮𝗺𝗲 𝘂𝘀𝗶𝗻𝗴 𝗙𝗹𝘂𝘁𝘁𝗲𝗿 + 𝗣𝘆𝘁𝗵𝗼𝗻 After working primarily with Flutter, I finally stepped out of my comfort zone and learned Python + FastAPI to build something fun. Rock Paper Scissors but you're playing against AI (Llama 3.1) 🤖 𝗧𝗲𝗰𝗵 𝘀𝘁𝗮𝗰𝗸 𝗜 𝘂𝘀𝗲𝗱:   1. 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: Flutter (cross-platform)   2. 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: FastAPI + Python   3. 𝗔𝗜: Groq API with Llama 3.1 model   4. 𝗗𝗲𝗽𝗹𝗼𝘆𝗲𝗱: Render (Backend) + Netlify (Frontend) 𝗪𝗵𝗮𝘁 𝗜 𝗹𝗲𝗮𝗿𝗻𝗲𝗱:   1. How to integrate AI APIs into a real project   2. Building REST APIs with FastAPI   3. Managing state between frontend and backend   4. Deploying a full-stack application 🌟𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/d3MS3maq 🔗 𝗟𝗶𝘃𝗲 𝗹𝗶𝗻𝗸: https://lnkd.in/dw7qUKVC This is my first time using Python in any project, and honestly? I should have started sooner. Sometimes the best way to learn is to just build something fun. What's something you've been wanting to learn but haven't started yet? 👇 #Python #Flutter #AI #FastAPI #WebDevelopment #LearningInPublic #BuildInPublic #Groq #LLM #100DaysOfCode #Developer #OpenSource #FirstProject #SoftwareDevelopment #Flutter #LearningJourney #MobileDevelopment

🚀 Just built a fully interactive Number Guessing Game using Python, HTML, and CSS! 🎮 In this web-based implementation, Python (via Flask) generates a random secret number, while users guess through a sleek web form. The game provides real-time feedback on whether guesses are too high or too low, tracks attempts, and maintains a complete guess history. 🔥 Features include: ✅ Flask backend with session management ✅ Responsive design with modern UI ✅ Visual feedback system ✅ Mobile-friendly interface ✅ Game state persistence This project demonstrates full-stack integration where Python handles the game logic while HTML/CSS creates an engaging user experience. Perfect example of how backend programming and frontend design come together to create interactive web applications! My Institute Of Learning [Madrid Software] And My Mentor Who Teach Me Python [Surya Pratap] Thanks Both OF Them. GitHub Repo: [https://lnkd.in/gZg-7Y7p] Live Demo Video: [https://lnkd.in/g7W7VbjK] Connect with me: [https://lnkd.in/gDHPbF-n] GitHub Profile : [https://lnkd.in/gAgkWJvd] #Python #Flask #WebDevelopment #FullStack #GameDevelopment #Programming #Coding #WebDesign #HTML #CSS #DeveloperPortfolio #TechProjects

I recently completed a URL Shortener web application using Django, and this video shows the project in action 🎥 What this project does: Converts long URLs into short, unique links using Base62 encoding Allows short links to be opened directly from any browser Redirects users to the original website seamlessly Tracks how many times each short link is visited Includes user authentication so links are user-specific Deployed using Gunicorn and Whitenoise Live demo: https://lnkd.in/ggquvJ5r Repo: https://lnkd.in/g-7XwVyM 📌 Tech used: Python | Django | SQLite | Gunicorn | Whitenoise Feedback and suggestions are welcome — especially around scaling, security, or analytics improvements. #DjangoProject #PythonDeveloper #BackendDevelopment #WebApp #LearningByDoing #StudentDeveloper #BuildInPublic

I kept finding myself writing the same Django + DRF boilerplate again and again, so I ended up building a small tool to fix that. dj-cli-tools is a CLI utility that extends Django’s management commands and helps scaffold DRF apps the way I usually build them in real projects. What it helps with: 1. A better start_app with custom templates (like DRF-ready app structures) 2. Automatically adding the app to INSTALLED_APPS 3. A single create command that sets up a full API slice - Model, Serializer, ViewSet, URLs, Admin registration, factory_boy factory for tests The goal was simple: spend less time on boilerplate and more time on actual product logic. 📦 PyPI: https://lnkd.in/eiTsjZ4X 📦 Install: pip install dj-cli-tools 🔗 GitHub: https://lnkd.in/eSUy4jrB If you’re working with Django/DRF, I’d genuinely love your feedback or suggestions on what could make this more useful 🙌 #Django #DRF #Python #OpenSource #DeveloperLife

Hey 👋 It's Rahul here! I just built my first Python web app - a To-Do List with a calming interface! ✨ Seeing everyone on LinkedIn building amazing projects with Python sparked my curiosity. I thought, "Hey, I know HTML, CSS, and some Python... why not create something myself?" 🎯 What I Built: Clean, minimalist To-Do List with smooth animations Add, delete, and mark tasks as complete Persistent storage using JSON Mobile-friendly responsive design Calming color palette for stress-free productivity This project combines Flask backend with beautiful frontend design - proving you don't need to be a tech expert to create something functional and pretty! Check out the live demo video to see it in action 👇 The code is completely open-source for anyone wanting to learn or customize it! My Institute Of Learning [Madrid Software] And My Mentor Who Teach Me Python [Surya Pratap] Thanks Both OF Them. GitHub Repo: [https://lnkd.in/gRUtbR7j] Live Demo Video: [https://lnkd.in/gQQbenHH] Connect with me: [https://lnkd.in/gDHPbF-n] GitHub Profile : [https://lnkd.in/gAgkWJvd] #Python #WebDevelopment #Flask #HTML #CSS #TodoApp #Programming #Coding #OpenSource #LearnToCode #DeveloperCommunity

🐍📰 Build and Submit HTML Forms With Django – Part 4 In the final part of this tutorial series, you'll continue to build out a social network with Django. You'll wrap up by working with Django forms, setting up dynamic URLs in your app, and more #python

Event Loops: Node.js vs Python - The Party Where Code Gets Things Done Ever wondered how Node.js can juggle thousands of requests without breaking a sweat, or how Python keeps up with async magic? Let’s peek behind the curtain and see what’s really happening… Node.js – The One-Man Band 🎸 Node.js is single-threaded, which sounds scary at first. How can one thread handle so much? Enter the event loop — the ultimate multitasker. Think of it like a super-efficient bartender at a busy club: Timers – “Okay, who ordered a setTimeout?” Pending Callbacks – “Ah, your file read just finished, here’s your drink!” Poll – “What new requests do we have in the queue?” Check – “setImmediate calls, coming right up!” Close Callbacks – “Bye, socket! Hope you had fun!” Microtasks like Promises are like VIP guests — they always get served before regular timers, no matter what. Takeaway: Node.js doesn’t block. While one task waits on I/O, the bartender is already serving everyone else. 🍹 Python – The Chill Club with Asyncio 🐍 Python started as a sync-first language — one request at a time. But with asyncio, it learned some slick dance moves. The event loop in Python is explicit: you start it with asyncio.run() and schedule tasks with await. Each async function yields control back to the loop when waiting on I/O. It’s like a team of bartenders taking turns efficiently serving drinks, but you have to tell them when to step aside. Python’s async is a bit more hands-on: you decide when to pause, resume, and gather tasks. Node.js does it more automatically behind the scenes. #NodeJS #Python #AsyncProgramming #EventLoop #JavaScript #Asyncio #WebDevelopment #FullStackDevelopment #ProgrammingTips #SoftwareEngineering #ScalableApps #DeveloperLife #TechInsights

🚀 My Full-Stack Project (Python + React JS) Dealing with Python 🐍 and JavaScript ⚛️, I decided to start small—and that’s when this idea came up: an SGPA Calculator. 📌 What it does: The application takes subject marks and credits as input and calculates the SGPA, presenting the result in a clean and visually appealing way. 🛠 Tech Stack Used: Frontend: React JS Tailwind CSS for styling Framer Motion for animations, charts, and loaders (better UX 🙌) Backend: Flask (Python) SGPA logic implemented using Python and basic mathematical operations ✨ This project helped me understand frontend–backend integration, API handling, and building a complete application from scratch. This is how the final result looks 👇 (attach your screenshots / demo video here) #Python #Flask #ReactJS #TailwindCSS #FramerMotion #FullStackDevelopment #WebDevelopment #LearningByBuilding