Zero-Dependency Python Web Framework for Speed and Simplicity

Ever wondered how Django(Python Framework) handles a web request? It follows the MVT pattern, which keeps everything simple and well-structured. 📦 Model – The Data Think of this as the storage room. It handles the database and defines how your data looks (users, products, expenses, etc.). 🧠 View – The Logic This is the brain. When a user requests a page, the View processes the request, applies logic, and fetches data from the Model. 🎨 Template – The Design This is the user interface. HTML and CSS that display the data in a readable and clean format. 🔁 How it works: 1️⃣ User requests a page 2️⃣ View handles the logic 3️⃣ Model provides the data 4️⃣ Template renders the final output #Django #Python #WebDevelopment #BackendDevelopment #LearningJourney #Coding

Django follows the MVT (Model–View–Template) pattern to handle web requests efficiently. Here’s how it works: 🔹 1. User Request – User enters a URL in the browser. 🔹 2. URL Routing – Django matches the URL with a View in urls.py. 🔹 3. View (Logic) – The View processes the request and decides what data is needed. 🔹 4. Model (Database) – The Model interacts with the database to fetch/store data. 🔹 5. Template (UI) – The Template renders the data into HTML. 🔹 6. Response – Final page is sent back to the browser. 📌 Flow: User → URL → View → Model → Template → Browser Understanding MVT helps in building clean, scalable, and maintainable Django applications. #Django #Python #WebDevelopment #BackendDeveloper #MVT #LearningInPublic

Stop fighting with complex CSS and JavaScript frameworks just to build a simple dashboard. I built this library to make web development in Python as fast and intuitive as possible. Why use it? ✅ 100% Python: No HTML or JS required. ✅ Zero Dependencies: Runs on standard Python libraries. ✅ Built-in Persistence: SQLite3 integration for easy data handling. ✅ Auto-Reloading: Real-time updates when your data changes. ✅ Modern UI: Integrated with Lucide Icons and responsive Grid/Flexbox layouts. Whether you're building an internal tool, a quick API dashboard, or just want to see how far you can push a pure Python UI, give it a try! Get started today: pip install web-in-python-lol #Python #WebDevelopment #OpenSource #PyPI #SoftwareEngineering #PythonProgramming #DevTools

𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐖𝐞𝐛 𝐀𝐩𝐩𝐬 𝐢𝐧 𝐌𝐢𝐧𝐮𝐭𝐞𝐬: 𝐀𝐧 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐭. 𝐀𝐬 Python developers, we often build powerful data models and scripts, but sharing them with non-technical users can be a headache. Building a full web application using Django or Flask just to showcase a simple dashboard often feels like overkill. This is exactly where 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐭 changes the game. 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐭 is an open-source Python library that turns data scripts into shareable web apps in minutes. It requires absolutely zero front-end experience. No HTML, CSS, or JavaScript is needed—just pure Python. It automatically handles the UI updates as users interact with your widgets. 𝐇𝐨𝐰 𝐭𝐨 𝐆𝐞𝐭 𝐒𝐭𝐚𝐫𝐭𝐞𝐝 (𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧):- • Open your Command Prompt or Terminal. • Run this simple command: pip install streamlit • To verify the installation and see a built-in demo, run: streamlit hello 𝐀 𝐐𝐮𝐢𝐜𝐤 𝐄𝐱𝐚𝐦𝐩𝐥𝐞:- Create a new Python file named app.py and add this code: import streamlit as st st.title("User Greeting Dashboard") user_name = st.text_input("Enter your name:") if user_name: st.success(f"Hello, {user_name}! Welcome to the platform.") else: st.write("Please enter a name, like 'Hamza' or 'Fatima'.") To launch your new web app, go to your terminal and type: streamlit run app.py Conclusion:- Streamlit drastically reduces the time to market for data applications. It allows us to focus entirely on the backend logic and data processing rather than getting bogged down by UI components. It is a must-have tool in any modern Python stack. Special thanks to my mentor Mian Ahmad Basit Ahmad Basit for the continued guidance. #MuhammadAbdullahWaseem #Nexskill #Streamlit #PythonProgramming #Pakistan

𝗧𝗵𝗶𝘀 𝗜𝘀 𝗛𝗼𝘄 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗔𝗱𝗱 𝗥𝗶𝗰𝗵 𝗧𝗲𝗫𝘁 𝗧𝗼 𝗦𝗵𝗶𝗻𝘆 𝗙𝗼𝗿 𝗣𝘆𝘁𝗵𝗼𝗻 You need to add rich text to your Shiny for Python app. But Shiny does not support it natively. You can use Quill.js to add rich text. Quill.js is a rich text editor that works with Shiny's JavaScript extension model. Here's how you can do it: - Use Shiny Core, not Shiny Express. Core is more predictable and safer for production. - You need two files: app.py and js/app.js. - No pip installs are needed. Quill.js loads from a CDN. To integrate Quill.js with Shiny: - Use Shiny's custom message API to send messages from Python to JavaScript. - Use Shiny.setInputValue to send values from JavaScript to Python. Key things to know: - Order of setInputValue calls matters. Always set your trigger input last, with {priority: 'event'}. - Don't initialize Quill before shiny:connected. - Quill returns HTML, not plain text. Sanitize accordingly before writing to a database. When to use this: - Internal tools where you control the environment and users need formatted input. - Not for primary rich text features or when Shiny is not your framework of choice. Source: https://lnkd.in/gtZiBhHT

I built a small Python script today that crawls through 50 pages and collects data from about 1000 books. The interesting part? It’s built using just Requests and BeautifulSoup. I wanted to practice building a clean web scraping workflow in Python, so the script goes through the catalogue pages, follows each book link, and extracts structured information from the product pages. For every book it collects things like: 📚 Title 💰 Price 📦 Availability 📖 Description 🏷 Product details from the page While working on it, I focused on a few things that make scrapers easier to maintain: • keeping the code modular with clear functions • handling pagination properly • converting relative links using urljoin • adding request headers so the requests look like a real browser • adding small delays between requests Projects like this are a great way to better understand how websites are structured and how data can be collected programmatically. Next things I’m planning to explore: • async scraping to make it faster • scraping sites that rely heavily on JavaScript I also recorded a short demo of the script running. If you’ve worked on scraping projects before, I’d love to hear — what tools or libraries do you usually use? #Python #WebScraping #Automation #Programming #DataEngineering #Global #freecodecamp #BackendDeveloper

Tired of manually hitting refresh in the browser every time I save an HTML/CSS/JS file. To fix this bottleneck, I built a lightweight Python script using Watchdog and Selenium. *What it does*: It monitors your local project directory and automatically triggers a Chrome refresh the millisecond it detects a file modification (Cmd+S / Ctrl+S). *Why I built it*: I prefer writing front-end code in simple text editors (like Sublime Text) rather than heavy IDEs, but I missed the built-in "Live Server" functionality. I’ve also included one-click executable launchers to bypass the terminal entirely after the first (quick) setup. Source code and instructions are available on my GitHub if you want to use it: https://lnkd.in/diMXrEmQ P.S. As I'm still new to Python and GitHub, the code is rather simple, but it successfully solved a nuisance I had. #Python #WebDevelopment #Automation #Coding #Productivity

New Blog Post 😃 In this #CopilotStudio post I share how to make your own MCP Server using Python 🐍 If you’ve never created an MCP Server before you might be surprised how straightforward the building process can be 🏗️ https://lnkd.in/gQav32d4

Your codebase is a mess and you know it. Ruff - The fastest Python linter that actually fixes your code automatically What it does: → Finds code quality issues 10-100x faster than other linters → Auto-fixes most issues (no manual cleanup needed) → Replaces 8 different tools (Black, isort, flake8, etc.) → Written in Rust, runs instantly even on huge codebases Setup: uv pip install ruff Cost: $0 (open source) The difference: Running flake8 + black + isort on 50,000 lines: 45 seconds Running ruff on same codebase: 0.3 seconds 150x faster. One command instead of three. Real scenario from this week: Inherited a messy data science repo. 30,000 lines. Inconsistent formatting. Import chaos. Before: Spent 2 hours manually fixing imports and formatting After: ruff check --fix (3 seconds, everything cleaned up) What it catches: - Unused imports - Undefined variables - Formatting inconsistencies - Import sorting - Code complexity issues - Security vulnerabilities The magic: ```bash ruff check . # Shows all issues ruff check --fix . # Fixes everything automatically ruff format . # Formats like Black but faster ``` Works in: - Pre-commit hooks (catches issues before push) - CI/CD pipelines (fails builds on quality issues) - VS Code/PyCharm (real-time feedback) This is what separates hobby projects from production code. Professional Python developers don't manually format code. They automate it and move on to real problems. Ruff makes that effortless. 🔗 https://lnkd.in/gsb2FiZv #Python #CodeQuality #DevTools

I'm excited to share to all my new Project that is Tic Tac Toi that is made with the help of [Python, Java Script, HTML, CSS]. # ---- FEATURE ---- 1. Player to Player -> User can Play ofline type game. 2. Play Online -> In this mode you can Play cloud mode or say remote. 3. Play with AI -> Comming Soon. # ---- TECHNOLOGY USES ---- 1. Python Programming Language -> It is Primerly use for making flask server and socket IO server. 2. Java Script Programming Language -> This programming language is used for creating logic at user side. 3. HTML -> This is uses for creating the structur of the web page. 4. CSS -> CSS is used for making it more stylise and respponsive designe. # ---- LINKS ---- 1. Project Link -> https://lnkd.in/gesBcqsw 2. Source Code Link -> https://lnkd.in/gKaZep3a # ---- KEYWORD ---- #python #project #javascript #js #html #css #html5 #tic_tac_toi #game #socketio #tailwindcss #flask #flaskApplication #flexbox