"Code is cheap, but performance is expensive." I built this CDN Audit Tool to solve a specific problem: Analyzing asset delivery at scale without the "GUI lag" or slow execution typical of many Python automation scripts. Check out the video below to see it in action! 👇 What's happening under the hood? Concurrency: Managed via ThreadPoolExecutor, allowing the tool to check dozens of assets simultaneously while the main thread stays 100% responsive. Thread-Safe UI: Implemented a queue.Queue "drain" system to pump background scan data into the Tkinter interface every 180ms without crashing the main loop. Architecture: Used a custom "Glow" widget system I built from scratch using the Tkinter Canvas API for a modern, dark-mode aesthetic. Efficiency: A global deduplication cache ensures we never ping the same asset twice, even if it appears on every page of a site. For me, being a developer isn't just about making things work—it's about making them fast, scalable, and user-friendly. #Python #SoftwareDevelopment #WebPerformance #GUIManagement #SoftwareEngineer #CodingProject

🚀 𝗗𝗮𝘆 𝟮𝟮/𝟯𝟬 – 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: **Desktop Application Development** 🧠 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗚𝗼𝗼𝗴𝗹𝗲 𝗧𝗿𝗮𝗻𝘀𝗹𝗮𝘁𝗼𝗿 (Tkinter App) Built a simple and functional **Google Translator desktop application** using Python and Tkinter. This project helped me understand how to integrate APIs with a GUI and handle real-time user input. Also we can Translate any language into a different one. ✨ 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • Translate text between multiple languages 🌍 • User-friendly dark-themed interface 🎨 • Source & destination language selection 🔁 • Real-time translation on button click ⚡ • Clean and structured layout using Tkinter 💡 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗨𝘀𝗲𝗱: • Tkinter for GUI development • ttk widgets (Combobox, Buttons) • API integration for translation • Event handling (`command` functions) • Text widget input/output handling 🔗 𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/ddwCDU-G A practical project that combines UI design with real-world functionality — making learning both fun and useful. 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 #GUI #Coding #Learning

🚀 𝗗𝗮𝘆 𝟮𝟳/𝟯𝟬 – 𝟯𝟬 𝗗𝗮𝘆𝘀 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Consistency builds skill. Skill builds confidence. 🚀 As part of my 30-day challenge, I’m focused on solving real-world problems while strengthening core development concepts. 🧠 𝗧𝗼𝗱𝗮𝘆’𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: 𝗪𝗲𝗮𝘁𝗵𝗲𝗿 𝗔𝗽𝗽 (GUI) I built a Python-based Weather Application using Tkinter that fetches real-time weather data and displays it in an interactive graphical interface. ✨ 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: This project goes beyond CLI and introduces GUI development — making applications more user-friendly and visually interactive while still leveraging real-time API data. ⚙️ 𝗞𝗲𝘆 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀: • Real-time weather data by city 🌍 • Displays temperature, humidity, and condition 🌡️ • Dynamic weather icons (sun, cloud, rain) 🖼️ • Clean and responsive Tkinter UI 💻 • Error handling for invalid inputs ⚠️ 💡 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗔𝗽𝗽𝗹𝗶𝗲𝗱: • API integration using `requests` • GUI development with Tkinter • Handling JSON data • Image processing using Pillow • Writing modular and clean Python code 🔗 𝗚𝗶𝘁𝗛𝘂𝗯: https://lnkd.in/dSqTtREe 📌 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Moving from CLI to GUI is a big step — it changes how users interact with your application. Building such projects helps understand not just logic, but also user experience. On to Day 28. 🔥 #Python #BuildInPublic #DeveloperJourney #30DaysOfCode #APIs #Tkinter #SoftwareDevelopment #Coding #Learning #OpenSource #Projects

🚀 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

Learn in Public #4 ✅ Just added Real-time Video Calling to my Chat Application! Now users can not only text chat but also make video calls between devices. I tested it by calling from my laptop to my mobile phone — and it works smoothly! Watch the demo: - User 1 clicks Video Call button - User 2 gets incoming call popup and accepts - Camera & Microphone permissions - Live two-way video + audio - Mute & Camera toggle (on/off with single click) - End call from either side Built with: • Backend: FastAPI (Python) • Frontend: Simple HTML, CSS & Vanilla JavaScript • Video Calling: WebRTC with custom signaling I'm more comfortable with Python, so using FastAPI felt natural for the backend. Live Demo: https://lnkd.in/g8AuFeks GitHub Repository:   https://lnkd.in/g3DRrNMW What should I build next?   Screen sharing? Group calls? Or something else? Drop your suggestions in the comments 👇 #LearnInPublic #WebRTC #FastAPI #Python #JavaScript #ChatApp #FullStack

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

Built C Trace: an interactive code execution tracker that lets you watch C programs run step-by-step, variable by variable. Instead of mentally tracing through code or debugging blindly, you paste C code and watch the stack and heap update in real time. Memory addresses, local variables, call stack, all visual. There's also a local AI tutor (via Ollama) that guides you through problems without spoiling answers. The technical challenge was getting live execution data out of GDB and syncing it to a React frontend fast enough to feel instant. Solved that with pygdbmi for breakpoint-based tracing and JSON serialization. Injecting breakpoints on every executable line, pulling frame data at each stop, and letting users scrub through execution like a video. Frontend is React 18 with Tailwind and Monaco Editor. Backend is FastAPI with Python. The tracer itself is GCC and GDB doing the heavy lifting. It's open source on GitHub. If you're learning C or teaching it, this thing actually shows you what's happening instead of making you guess. github : https://lnkd.in/dFvt6PDP (note: Currently working on a Cpp and Java version and frontend if fully vibe coded 😛)

I wasted 𝗱𝗮𝘆𝘀 before understanding this in GUI development… I thought building a simple slideshow app would be easy -- just load images and switch them, right? Wrong. The moment I started, everything broke: • Images didn’t fit the window • The UI froze during transitions • Timing felt completely off That’s when I realized -- GUI apps don’t work like normal scripts. So I decided to build one properly 👇 🚀 𝗜𝗺𝗮𝗴𝗲 𝗦𝗹𝗶𝗱𝗲𝘀𝗵𝗼𝘄 𝗔𝗽𝗽 (𝗣𝘆𝘁𝗵𝗼𝗻 + 𝗧𝗸𝗶𝗻𝘁𝗲𝗿 + 𝗣𝗜𝗟) What it actually does: • Smooth automatic image transitions • Proper resizing to fit the UI • No freezing during updates • Simple interactive controls The biggest thing I learned? GUI apps are 𝗲𝘃𝗲𝗻𝘁-𝗱𝗿𝗶𝘃𝗲𝗻 -- 𝗻𝗼𝘁 𝗹𝗶𝗻𝗲𝗮𝗿 𝗹𝗶𝗸𝗲 𝘀𝗰𝗿𝗶𝗽𝘁𝘀. That shift in thinking changes everything. 🔗 GitHub: https://lnkd.in/gBZbuhzQ What’s a “simple” project that turned out to be harder than you expected? #Python #SoftwareDevelopment #Programming #PythonProjects #Tkinter #BuildInPublic #CodingJourney

Analyzed the SkyFrac platform today. ~640k lines of code. JavaScript ~239k, Python ~165k, PHP ~157k, CSS ~68k But what I love about our software is that we built it from the ground up to handle and serve data, so developing new modules and technologies is easy. Typically we can conceptualize a new technology or analysis at 8AM and have a beta version deployed for testing by 2PM.

A lot of software problems do not start as “we need a new app.” They start as repeated work becoming messy: too many spreadsheet steps, too much context switching, and too much logic living in people’s heads instead of the system. That is one of the main ideas behind my portfolio work. I am interested in building software around how the work actually happens, then shaping the internals so the system stays clear, maintainable, and scalable as it grows. The portfolio currently highlights two directions I care about: workflow-centered application design hybrid Python/C++ systems where orchestration and performance-sensitive processing have different responsibilities I wanted the site to show not just what I build, but how I think about boundaries between interface, workflow logic, and deeper processing. Portfolio: [https://lnkd.in/d-rPRP_r] I would be interested to hear how others decide when repeated operational work has outgrown spreadsheets and needs a dedicated tool.