Ever wonder which app is draining your internet data? 🤔 I was curious about my real-time internet usage, so I decided to build my own monitoring tool using Python! Windows lets you see speed, but I wanted a custom dashboard to track exactly what is happening on my network in real-time. I built a Network Monitor Web App using Streamlit. 🚀 What it does: ✅ Shows Real-Time Upload & Download speeds. ✅ Lists all active services connected to the internet. ✅ Identifies which background apps are "ESTABLISHED" and using data. 🛠️ Tech Stack: Python: Logic and backend. Streamlit: For the beautiful, interactive user interface. Psutil: To access system network details. Pandas: To organize the data into clean tables. It was a great way to learn more about how operating systems handle network traffic and how to visualize that data simply. Check out the code here: https://lnkd.in/gf_hQXgW #Python #Streamlit #Coding #Project #SoftwareDevelopment #Networking #DataScience #OpenSource

I didn’t start this project thinking, “I’m going to build a full website.” I started with curiosity 🤍 A dataset 📊 Some reviews 📝 And one simple question: How do shopping websites actually work behind the scenes? So I decided to try building one 🛍️💻 What you see in the video is the result of many small steps: • learning Flask 🐍 • fixing errors 🔧 • understanding search logic 🔍 • training a simple ML model 🤖 • and slowly connecting everything together There were moments when the app broke 💥 Times when numbers didn’t match 😵💫 And moments when “Internal Server Error” felt very personal 😅 But every bug taught me something new 🌱 This project reminded me that growth doesn’t come from knowing everything it comes from trying, failing, learning, and showing up again✨ #DataScience #MachineLearning #Python #Flask #WebDevelopment #CodingJourney #LearningByDoing #TechProjects #ProblemSolving #GrowthMindset #Programming #DeveloperLife #CuriosityDriven #BuildInPublic #ProjectJourney

I've been trialling Aider with some python code I've been using for my SEO Galaxy Desktop App and at first I was a little confused. The first and, really, only hurdle was selecting an appropriate model that actually worked properly. But it's a nice CLI tool that you can get for VSCode. pip install aider-chat And you're almost away. The context window isn't huge, even with a model like gemini-3 flash. Adding more than 5 files seems to corrupt the display output too. This is some impressive stuff if I ever wanted to do some quick work adding a new function or refactoring a bigger file. Have your Gemini API key handy though. you need it pretty much every time you start a new session. #vibecoding #aider #pythinismybag

✨ Exciting release for the HoloViz Panel ecosystem! I'm happy to share Panel ReactFlow, a new extension that brings the popular React Flow graph/flow-editing library directly into Python via HoloViz Panel. With this extension, you can: 🔹 Build interactive node-based editors 🔹 Design custom graph UIs entirely in Python 🔹 Integrate React Flow components seamlessly into Panel apps Check out the docs, examples, and how to get started: 👉 https://lnkd.in/erQBQ28S If you're building data apps, visual editors, or custom workflow tools, this unlocks a whole new category of interfaces in Python. #Python #DataScience #InteractiveApps #HoloViz #ReactFlow #Panel #OpenSource

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

🚀 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

💼✨ Excited to share — LinkedIn Post Creator! This Streamlit app lets you: Select an author style Pick a title/subject Customize length and language Generate tailored LinkedIn posts instantly 🚀 I’ve built it with Groq API integration (secured via .env) with llama 3.1-8b model 📹 Check out the demo video + GitHub repo to see it in action! GitHub Repo: https://lnkd.in/gtxMaKsV #LLM #Python #Streamlit #Groq #LinkedInContent #Automation

From ML Model to Live Web App 📈 I just deployed my Gold Price Predictor, a full-stack project that moves beyond the notebook and into production. The Stack: ML: Random Forest Regressor (Scikit-learn) for price forecasting. Backend: FastAPI (Python) for high-performance, async API serving. Frontend: React & Tailwind CSS for a modern user dashboard. Deployment: Fully hosted on Render. Key Takeaway: Building this taught me how to bridge the gap between Python data science and a production-ready web UI, specifically handling CORS and model serialization. Check it out: Live: https://lnkd.in/dTKdfkP5 GitHub: https://lnkd.in/dfxnez7A #MachineLearning #FastAPI #ReactJS #Python #FullStack #BuildInPublic

I built a habit tracker because I needed one. Yes… discipline was losing the battle 😅 So instead of fixing my habits… …I built an app to fix them. 🔥 Introducing: Smart Habit Tracker (built using Python & Streamlit) Here’s what it does: 1. Sign up & create unlimited habits 2. If you type “study” → it asks for hours (no excuses allowed) 3. Other habits? Just tick and move on 4. Tracks streaks automatically 5. Shows progress in clean dashboards 6. Generates a monthly printable tracker (for the aesthetic planners 👀) Basically: No more “I’ll start tomorrow.” Now it’s: “The app is watching.” 😎 Tech used: Python, Streamlit, SQLite, Plotly, ReportLab Live Demo: https://lnkd.in/gKyRpGG6 Now I’m curious 👇 What habit do YOU struggle with the most? #Python #Streamlit #BuildInPublic #Productivity #LearningByBuilding #SideProject

🚀 Excited to share my latest project: A Full-Stack Inventory Management System! Managing inventory isn’t just about storing data—it’s about predicting demand, preventing stockouts, and scaling with confidence. That’s exactly what I focused on while building this system from scratch using Python & Flask. This isn’t a typical CRUD app. I implemented a custom demand simulation engine to stress-test inventory behavior under real-world scenarios like demand spikes and stock fluctuations. 🔧 Key Technical Highlights 🔹 Backend: Python (Flask), SQLite, SQLAlchemy 🔹 Frontend: Jinja2, Bootstrap 5, Vanilla JavaScript 🔹 Architecture: Modular Flask Blueprints for clean scalability 🔹 Simulation Engine: Real-time demand forecasting & stock movement analytics 📊 The system provides live inventory insights, helping simulate decision-making before real losses occur. 🎥 Check out the demo video below to see real-time analytics in action! #Python #Flask #FullStackDevelopment #InventoryManagement #SoftwareEngineering #WebDevelopment #Backend #Projects