⚡ Building tools that look as good as they code. Most automation scripts are functional but eyesores. I wanted to change that. Just wrapped up a YouTube Thumbnail Grabber built with Python, but with a twist: I focused heavily on the UI/UX, implementing a custom "Jetstorm Theme" to make the utility feel like a premium app. The Secret Sauce: ✨ Dynamic UI: Automated Canvas Drawing (Grid + Stars) for a retro-tech vibe. 📐 Custom Geometry: Moving beyond basic Tkinter grids for a modern layout. 🖼️ High-Res Processing: Leveraging Pillow for clean image handling. Stack: Python | Tkinter | Requests | PIL It’s simple, efficient, and aesthetic. 💻 Source Code: [https://lnkd.in/dGUCm928] #Python #SoftwareDevelopment #OpenSource #GUI #Coding #LaxmiSanas
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From UI → working product 👇 Here’s a quick demo of the expense tracker I built using Python 💰 In this version (v1), you can: • Add income & expenses • Track balance instantly • View transaction history • View analytics & insights Built this to better understand my own spending habits — and it turned into a full working app. Currently improving it and planning to deploy it soon 🚀 Watch till the end to see insights 👀 Would love your feedback 🙌 #Python #Streamlit #WebDevelopment #BuildInPublic #SoftwareDevelopment #StudentDeveloper #Projects #LearningInPublic
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Have a React application but need 3D visualization and dataset processing? Instead of redesigning your UI, integrate trame directly into your React app with just a few lines of code. trame-react brings: 🔹 Python-powered server-side computation 🔹 Real-time data synchronization 🔹 Integration with VTK, ParaView, or 3D Slicer 🔹 WebSocket-based state updates between React and Python Here’s how to get started: 🔗https://ow.ly/BF1p50Yq8pC #trame #ReactJS #VTK #ScientificVisualization #WebDevelopment #Python
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🚀 𝗗𝗮𝘆 𝟮𝟰/𝟯𝟬 – 𝟯𝟬 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Continuing my journey of building one Python project every day to improve consistency and real-world problem-solving. Today’s focus: **GUI Development & Automation** Goodbye Mannual Searching 👋 🧠 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗔𝗜 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 (Tkinter Based) Built a simple desktop AI Assistant using Python and Tkinter that allows users to quickly search across platforms like Google, YouTube, and Instagram — all from one interface. ✨ 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • Search anything on Google instantly 🔍 • Find videos directly on YouTube ▶️ • Open Instagram profiles with ease 📸 • Clean and user-friendly interface 🎨 • Lightweight and fast ⚡ 💡 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗨𝘀𝗲𝗱: • Tkinter for GUI development • Webbrowser module for automation • Event handling in Python • Basic UI/UX design principles 🔗 𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/dAr8MUDe A simple yet practical project that shows how Python can be used to build useful desktop tools with minimal effort. Building discipline through code — one project at a time. Follow along as I complete 30 Python projects in 30 days 🚀 #Python #BuildInPublic #DeveloperJourney #30DaysOfCode #PythonProjects #Tkinter #Automation #Coding #Learning
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INTERACTIVE TOOL #2: Shell Topology Optimization App. (using Python + Streamlit) The goal is the same as before: make advanced structural optimization more accessible through a simple and visual web tool. This time, the focus is on shell-type structures, allowing users to explore efficient material layouts and optimized forms directly in the browser. ✨ Key features: 🎛️ Interactive problem setup 🚀 Real-time optimization visualization 🕒 3D exploration of the final shell geometry 💾 Easy export of results for further use 🔗 Try the live app here: [https://lnkd.in/gEDdJKnB] 📄 Read the technical documentation: [https://lnkd.in/gkzpu5Zf] 🌐 Review all the interactive tools on my web page: [https://lnkd.in/gxXczm7B] This is part of my broader effort to turn computational structural design tools into accessible engineering apps. Feedback is always welcome — I’d love to know what you think. 👇 Feel free to share your generated solution GIFs in the comments. #TopologyOptimization #ShellStructures #FEA #Python #Streamlit #StructuralEngineering #Engineering
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Day 27/100: Building My First Graphical User Interface (GUI)! Today was all about moving from the terminal to the desktop. I dived deep into Tkinter, Python’s built-in library for creating windowed applications. Key Technical Takeaways: Widget Management: Learning how to create and configure Labels, Buttons, and Entry fields. Layout Managers: Mastering the difference between pack(), place(), and grid() to position elements precisely. Event Listening: Connecting buttons to Python functions to make the app interactive. Project: Mile to Kilometers Converter: Developed a clean, functional desktop app that performs real-time unit conversions. It’s incredibly satisfying to build something that has a "Window" and a "Button" you can actually click. My Python scripts are starting to look like real software now! Check out my GUI app here: https://lnkd.in/gtREXkTG #Python #GUI #Tkinter #100DaysOfCode #SoftwareDevelopment #VSCode #DesktopApps
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We’re 3 races into the 2026 Formula 1 season, and I wanted a better way to track the data. So I built a custom machine learning backend to predict race strategies. But a backend alone isn't enough. It needs a UI. To build the UI, I used NextNeural to generate a complete frontend from a single PDF of my project specs. The ML model is trained. The frontend UI is ready. My next step is to wire the Python backend into this UI to bring the model to life. Check out the live website + my Medium article in the comments
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Day 2 and the website is actually showing something on screen now. Built the admin panel, connected URLs, wrote views, created HTML pages. Spent 2 hours debugging a spelling mistake — my file was named bike.html instead of bikes.html But I found it myself. That felt good. 3 pages live now — Home, Bikes listing, Enquiry form. Customer can fill enquiry and it saves to the database. #Django #Python #BuildInPublic #WebDev
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Upgrading my Tic-Tac-Toe game from Python 🐍to Java 🍵 — and from procedural to full OOP version with additional Minimax AI feature. 🎮 I originally built this in Python with a clean procedural structure — input validation, win detection, computer vs player mode, and a dynamic board size. Now I'm rebuilding it in Java using Object-Oriented Design principles: → Board 📕, Player 👨🦳, Minimax🤖, GameEngine 🎡 — each class owns its own responsibility → Minimax algorithm for an unbeatable AI opponent → Extensible design — ready for a GUI layer or network multiplayer Project Structure: TicTacToe/ ├── src/ │ ├── main/ │ │ ├── Board .java │ │ ├── Player .java │ │ ├── HumanPlayer .java │ │ ├── Minimax .java │ │ ├── GameEngine .java │ │ ├── GameMode .java │ │ └── Main .java │ └── test/ │ ├── BoardTest .java │ └── MinimaxTest .java ├── README .md └── .gitignore Why OOP matters here: ✔ Each class is independently testable ✔ Adding features doesn't break existing logic ✔ Mirrors real-world software architecture patterns used in production systems This isn't just a game upgrade — it's a design thinking upgrade. Learning to architect software before writing it is what separates junior devs from senior engineers. #Java #OOP #SoftwareEngineering #CleanCode #Minimax #BackendDevelopment #GameDevelopment #OpenToWork #100DaysOfCode #TechPakistan #StudentDeveloper #ComputerScience
♟️ Built a Dynamic Tic-Tac-Toe Game in Python Not just 3×3… Any size board from 3×3 up to 30×30 🔥 This is a dynamic board generator with scalable win-checking logic. ✨ Features: • 🔄 Dynamic board creation (user-defined size) • 🧠 Expert-level win detection (rows, columns, diagonals) • 🤖 Play vs Computer • 👥 Player vs Player mode • ✅ Strong input validation • 🧩 Clean modular function structure What makes this powerful? The win logic adapts automatically to any board size — no hardcoding. That means scalable thinking. Not fixed logic. This project strengthened my: ✔️ Algorithm design ✔️ 2D list manipulation ✔️ Dynamic condition checking ✔️ Game logic architecture ✔️ Problem-solving depth I’m building simple-looking systems with serious internal logic to master core engineering skills. Demo attached 🎥 Source code 👇 🔗 https://lnkd.in/dKPdUiWe #Python #SoftwareDevelopment #BuildInPublic #ProblemSolving #Games #GitHub #Learning #Java
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🚀 New Release: LightningChart Python v2.2 is here The latest update brings a major step forward in interactive data visualization and dashboard development. Key highlights: 🎛 Built-in UI controls (CheckBox & ButtonBox) → Add interactivity directly into your dashboards 🎯 Fully customizable cursors → From styling to programmable multi-cursor setups 💬 Pointable annotations → Visually connect insights to data points 🧠 Smarter data interaction → Improved precision with features like nearest-point detection 🔁 Dynamic workflows → Flexible layouts with real-time axis swapping This release clearly focuses on one thing: 👉 Making dashboards more interactive, responsive, and user-driven If you're building real-time analytics or high-performance data apps, this is worth checking out. https://hubs.la/Q049-0Bh0 #DataVisualization #Python #Analytics #Dashboard #TechRelease
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🚀 New Release: LightningChart Python v2.2 is here The latest update brings a major step forward in interactive data visualization and dashboard development. Key highlights: 🎛 Built-in UI controls (CheckBox & ButtonBox) → Add interactivity directly into your dashboards 🎯 Fully customizable cursors → From styling to programmable multi-cursor setups 💬 Pointable annotations → Visually connect insights to data points 🧠 Smarter data interaction → Improved precision with features like nearest-point detection 🔁 Dynamic workflows → Flexible layouts with real-time axis swapping This release clearly focuses on one thing: 👉 Making dashboards more interactive, responsive, and user-driven If you're building real-time analytics or high-performance data apps, this is worth checking out. https://hubs.la/Q049-2vK0 #DataVisualization #Python #Analytics #Dashboard #TechRelease
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