Challa Triveni’s Post

I built a Python automation engine that can hit 11ms reaction times. ⚡ To put that in perspective, the average human reaction time is about 250ms. Macro Studio is responding to screen changes before a human brain could even register that something happened. If you've ever tried building a high-speed desktop bot in Python, you know the struggle. Standard libraries are great for simple tasks, but the moment you try to scale up, time.sleep() bottlenecks your logic, and managing OS threads usually ends up freezing your UI thanks to the Global Interpreter Lock (GIL). I wanted an engine that actually respected Python's capabilities while providing ultimate control, so I built it myself. I’m excited to share Macro Studio. It’s a free, open-source automation framework I developed that bridges the gap between simple macro recorders and complex software development. Instead of heavy OS threads, it uses a cooperative multitasking yield architecture and direct GDI polling. The result? High-frequency pixel retrieval that easily averages superhuman reaction times on the Human Benchmark, while keeping the UI and subsequent tasks completely responsive. Because it runs pure Python, the possibilities are infinite. You can hook in OpenCV, ping external APIs, or integrate LLMs directly into your automation loop. Check out the full showcase below demonstrating how it flawlessly navigates complex game environments (like Roblox). Building this architecture from the ground up has been an incredible month-long side project. I'm keeping it 100% free and open-source under GPLv3 for anyone who wants to build high-performance macros without the paywalls. I've dropped a link to the YouTube showcase, the GitHub repository, and the documentation in the comments below. 👇 Drop a star, build something ridiculous, and let me know what you think of the architecture! #Python #SoftwareDevelopment #OpenSource #Automation #ComputerScience

Building a ToDo list Mnager Pro with Python + Streamlit! First 34s: Full code walkthrough (all project files) Last 36s: Live UI demo (add tasks, priorities, tags, search, stats) Features: - 3 priority levels (High/Medium/Low) with color-coded cards - Custom tags per task (work, urgent, personal...) - Smart filters by priority, status and search - Due date tracking with overdue counter - One-click task completion and deletion - Metrics dashboard (Total, Completed, Overdue) - Export full task list to CSV - UUID-based unique task IDs (no duplicates) - Zero backend - runs entirely in session state Tech stack: Python + Streamlit + Pandas + UUID + uv 150+ lines of code. No database. No server. Just Python. What productivity app should I build next? Drop it in the comments! #Python #Streamlit #Productivity #TodoApp #BuildInPublic #100DaysOfCode #TechPakistan #Programming #Pandas

We all love using Python for fast prototyping 🩷, but the real friction usually starts when those local scripts are shared and relied upon by others. That is typically when the complexity—and the duct-tape "glue code"—begins. To help you bridge that gap, we are hosting a technical session on April 9: From Python models to trusted decision applications, how Taipy evolves with you. This is a 100% developer-first session, and the agenda was built directly from the friction points and questions you've shared with us in our Discord community here: https://lnkd.in/ewX89tFj We will dive into the code and architecture to explore: 🛠 𝗧𝗵𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻: How to use the new Cron Scheduler, Built-in Versioning, and Activity Tracking to automate and secure your apps. ⚡ 𝗧𝗵𝗲 𝗨𝘀𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: How to translate those developer capabilities into personalized, role-based interfaces. 🏢𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗗𝗲𝗺𝗼𝘀: We will break down large-scale decision support apps. If you build internal tools, dashboards, or analytical applications in Python, this session will save you a lot of time. I’ll be moderating the live Q&A with our technical team, so bring your toughest questions! 👉𝗦𝗲𝗰𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 (link in first comment) 👇🏻👇🏻👇🏻 Can't wait to see you there! 👋

 Stop Blocking — Start Scaling! If you’re writing Python apps that wait on I/O — like web requests, file ops, or socket connections — your code can feel slow even if the hardware isn’t. That’s where modern Python concurrency shines! I just broke down the real magic behind Python’s asyncio — not just theory, but practical, runnable patterns: 🔹 What coroutines actually are and how they pause & resume work 🔹 How to convert a function into a coroutine with async def 🔹 Why coroutines by themselves don’t run — and how asyncio.create_task() changes that! 🔹 How Tasks let you run many coroutines concurrently 🔹 Using Locks & Semaphores to coordinate shared resources safely 🔹 Visualizing the event loop in action so you finally get async behavior 🔹 Handy patterns → real code you can drop into your project Learn how Python can handle thousands of concurrent operations without threads, and how to avoid common mistakes that lead to deadlocks or wasted CPU time. 👉 Read it now: https://lnkd.in/gn-JzHcR 💬 Got an async use case that’s driving you crazy? Drop a comment — I’ll help you optimize it! #Python #Asyncio #AsyncProgramming #SoftwareEngineering #CodingTips #DeveloperCommunity #OpenSource

Meta built a Python type checker in Rust that makes mypy feel like dial-up. 🔥 Pyrefly already has 5.4k stars, and it's not hard to see why. 𝗛𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗱𝗲𝗮𝗹: Python's type checking story has always been slow and clunky. Pyrefly rewrites the whole thing from scratch in Rust (92% of the codebase). Giving you a lightning-fast type checker AND a full language server in one tool. Install it with pip, point it at your code, done. 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 👉🏽 Three-step pipeline: resolve module exports, convert modules to bindings, solve bindings across your entire project 👉🏽 Uses Type::Var placeholders for recursive and unknown types that resolve later 👉🏽 Module-centric design prioritizing raw speed over fine-grained identifier solving 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗴𝗲𝘁 👉🏽 Type inference that auto-detects variables and return types without annotations 👉🏽 Flow-sensitive types that track control flow (if/else, isinstance checks) 👉🏽 Incremental checking and parallel processing for large codebases 👉🏽 IDE support for VSCode, Neovim, and Zed out of the box 𝗪𝗵𝘆 𝘁𝗵𝗶𝘀 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 👉🏽 Modular Rust crate architecture (pyrefly_util, pyrefly_types, pyrefly_config) 👉🏽 MIT licensed, 153 contributors, 11k+ commits 👉🏽 Browser sandbox so you can try it without installing anything 👉🏽 Biweekly office hours and an active Discord community Python type checking has been an afterthought for too long. A Rust-powered checker that doubles as your language server could finally make it a first-class experience. 𝘈𝘳𝘦 𝘺𝘰𝘶 𝘴𝘵𝘪𝘭𝘭 𝘶𝘴𝘪𝘯𝘨 𝘮𝘺𝘱𝘺, 𝘰𝘳 𝘩𝘢𝘷𝘦 𝘺𝘰𝘶 𝘴𝘸𝘪𝘵𝘤𝘩𝘦𝘥 𝘵𝘰 𝘴𝘰𝘮𝘦𝘵𝘩𝘪𝘯𝘨 𝘧𝘢𝘴𝘵𝘦𝘳? 🔗 Link in comments #python #rust #opensource #meta

🚀 Excited to share my latest project! I built a Streamlit-based Image Compressor Web App using Python that allows users to easily compress images and reduce file size while maintaining good quality. 🔧 What this tool does: • Upload an image directly in the browser • Compress the image efficiently • Reduce file size for faster sharing and storage • Download the optimized image instantly 💡 Why I built this: Large image files can slow down websites and take up unnecessary storage. I wanted to create a simple and fast tool that anyone can use without installing software. 🛠 Tech Stack: • Python • Streamlit • Image processing libraries 🌐 Try it here: Website link:- https://lnkd.in/gFMFCapa #Python #Streamlit #WebDevelopment #AI #MachineLearning #Projects #Developer #BuildInPublic

🐍 I built a Python Memory Puzzle Game — and it actually teaches you Python while you play! The idea was simple: what if a classic card-matching game could double as a learning tool? Every time you match a pair, you unlock a real Python fun fact — from how Guido van Rossum named the language after Monty Python 🎭, to why duck typing works the way it does 🦆. 🎮 What's in the game: → 16 cards / 8 Python-themed pairs → 3 difficulty levels (Easy → Hard) → Live timer, score, and move counter → Star ratings based on efficiency → Confetti bursts on every match 🎉 → 8 Python concepts covered with fun facts 🛠️ Tech used: → Pure HTML, CSS & vanilla JavaScript → Zero dependencies — one single file → CSS 3D card-flip animations → CSS Grid for responsive layout This was a fun challenge in keeping everything inside a single .html file while still making it feel polished and interactive. No React, no npm, no build step — just open in a browser and play. Whether you're a Python beginner looking for a fun way to learn, or just someone who enjoys a good memory challenge, give it a try! 🚀 Happy to share the code: https://lnkd.in/dgHTuTz5 #Python #WebDevelopment #HTML #CSS #JavaScript #LearningByDoing #OpenSource #100DaysOfCode #PythonProgramming #BuildInPublic #SoftGrowTech

🚀 Excited to share my latest Python project — a Customizable Digital Clock! Built entirely with Python's Tkinter library and the datetime module, this project explores GUI development and real-time rendering in a fun, visual way. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: • 5 distinct themes (Retro, Modern, Dark Mode, Neon, Minimal) • Animated blinking colon & live seconds progress bar • Full date display with week number tracking • Clean OOP architecture with theme switching logic 𝗞𝗲𝘆 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴𝘀: → Structuring Tkinter apps with class-based design → Managing real-time UI updates with .after() loops → Building scalable theme/config dictionaries in Python This is part of my journey to build advanced Python projects and sharpen my software development skills. If you're learning Python, I highly recommend GUI projects — they make your code feel alive! 🙌 #Python #GUIDevelopment #Tkinter #AdvancedPython #SoftwareEngineering #LearningInPublic

Developer Unveils Nox a Tree-Walking Interpreted Language Built Entirely in Pure Python 📌 A developer has built Nox - a fully Python-native, tree-walking interpreted language with no eval or exec, supporting async/await, C++ FFI, and web apps. Its clean syntax and extensible toolchain let you build binaries and manage packages all in pure Python, even spinning up a GitHub-powered package manager and HTTP server - all from scratch. 🔗 Read more: https://lnkd.in/dgnZejGT #Nox #Python #Treewalking #Interpreter #Ast

From print() to GUI - here's what building a Calculator taught me about Python When I started learning Python, I was writing simple functions in the terminal: add(a, b) subtract(a, b) multiply(a, b) divide(a, b) Basic? Yes. But that logic became the foundation of something I'm genuinely proud of. I took those same 4 functions and built a fully functional Calculator GUI using Python and CustomTkinter — no web, no JavaScript, just pure Python. As a Computer Science student at KNUST, this project showed me that classroom concepts become real the moment you build something with them. 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝘁: 1. A responsive dark-themed UI with color-coded operator buttons 2. A live display that auto-scales font size for long numbers 3. A calculation history panel (last 10 results) 4. Full keyboard support - type expressions just like a real calculator 5. Edge case handling - division by zero, chained operators, decimal validation 6. Modular architecture separating UI logic from core computation 𝗪𝗵𝗮𝘁 𝗜 𝗹𝗲𝗮𝗿𝗻𝗲𝗱: 1. The importance of separating business logic from the presentation layer 2. Event-driven programming — how GUIs respond to user actions in real time 3. Why clean, reusable functions matter even in small projects 4. How to handle edge cases gracefully before they become bugs The jump from terminal scripts to GUI applications felt huge at first. But it showed me that the fundamentals never change - good code is good code, whether it runs in a terminal or a window. Every big project starts with a small function. Keep building. 🚀 #Python #Programming #SoftwareDevelopment #GUI #LearningToCode #TechSkills #ComputerScience #KNUST