I’ve been working on a fun little side project called GitDiffer, it’s a combo of a Python script and a simple web app. The script spits out a JSON file with detailed Git diff info, and the site lets you load that file to browse, filter, and sort changes in a much cleaner way. In the example, I am using output from a @IntuneCD backup to view #msintune config diffs. Play around with it and let me know how it works out for you! GitDiffer site: https://lnkd.in/dwYKdsHY Github: https://lnkd.in/dUEu6GXD

What if Python treated WebSockets as a first-class citizen — not an afterthought? Imagine building real-time systems — chats, dashboards, multiplayer apps — with: - "Async from top to bottom" - "Zero blocking" - "Rust-level speed under the hood" Most teams today face this trade-off: ⚙️ Django: solid ecosystem, but not truly async (WebSockets feel bolted on) ⚡️ FastAPI: modern and async, but WebSockets and background tasks still get tricky at scale 🧠 Something new: what if a framework gave you both — Python’s simplicity and Rust’s concurrency? Hypothetically — if you could get 5–10× more concurrent connections, lower latency, and native real-time features (rooms, presence, pub/sub) out of the box… 👉 Would you switch? I’d love to hear honest thoughts — what stops you from building truly real-time apps in Python today? #python #websockets #realtime #rust #async #webdev #opensource

💡 Saturday reflection: Building full-stack web apps with pure Python just got more accessible. Just discovered how Reflex enables creating sophisticated multi-page applications with real-time database interactions, filtering, and analytics - all without touching JavaScript. The tutorial demonstrates a complete notes-management dashboard built entirely in Python that runs smoothly in Colab. My personal reflection: This represents a significant shift in web development accessibility. Python developers can now build complex web applications without context-switching between languages, potentially accelerating development cycles and lowering the barrier to full-stack development. Read more: https://lnkd.in/evMNCv2i What do you think about this development? #TechThoughts #Saturday #TechReflection #Weekend This content was automatically generated with an agent I designed in n8n. Want one for your business? Send me a DM ✉️

🌦️ My Simple Weather App Task 🌍 Hey everyone! 👋 I just created a Weather App that shows real-time weather updates for any city — built using Python (Flask) for the backend and HTML + JavaScript for the frontend. ✨ Features: Fetches live weather info like temperature, humidity, and condition Shows detailed location (city, state, country ) Simple and colorful dashboard layout Smooth data fetch using API integration 💻 Tech Stack: Python | Weather API 🎥 This video demonstrate the execution of the entire Task. #oasisinfobyte #intership #python #WeatherApp #Flask #APIIntegration #CodingJourney

🚀 Want to build web apps faster, smarter, and cleaner? Python has you covered! 🐍 From Django’s full-stack power to FastAPI’s blazing speed, explore the top frameworks every web developer should know. 🔥 Read: Python Frameworks for Web Development https://lnkd.in/dgyJFkMG

Python Project Series: Part 31 - Typing Speed Test It’s been over two weeks since the last project. I know, I know… the streak took a coffee break. But we’re back, and this time, on the web! After 30 terminal-based projects, this starts a new chapter: our transition to web-based development using Flask (Python) and JavaScript. For this one, I built a Typing Speed Test App that measures WPM and accuracy, with difficulty-based paragraphs and a clean UI. A small yet fun project and a solid start to the web era of the series. Break taken, Focus restored and Projects resumed #PythonProjectSeries #Flask #WebDevelopment #LearningByBuilding #KeepCoding #Frontend #Backend #100DaysOfCode #PythonProjects #ProjectSeries #Part31

When building FastAPI apps, we often focus on routers, schemas, and dependencies — but forget the quiet little hero that holds it all together: 👉 __init__.py Yes, it’s usually empty — yet incredibly powerful. Here’s why 👇 ⚙️ It tells Python that the folder is a package, not just another directory. 📦 It allows relative imports like from .models import User. 🧠 It keeps your app modular and scalable as you split routers, services, and utils. 🪄 It can even run package-level setup logic, like initializing logs or environment configs. Even though Python 3.3+ allows “implicit packages,” adding __init__.py is still a best practice — it makes your FastAPI structure clean, predictable, and bug-free. 💬 Funny how an empty file can make such a big difference, right? #FastAPI #Python #BackendDevelopment #CleanCode #WebDevelopment #Developers

What’s a macro vs. real browser automation? A macro records a single sequence of clicks/keys and replays them. Browser automation frameworks (Playwright) use code to say what you want to check and add safeguards: wait until an element appears, retry if slow, and run the same check across different browsers. Think of macros as a quick demo; automation frameworks are the durable, repeatable version you use long-term. Hashtags: #AutomationExplained #Playwright #Python #Macros Truly yours Bot.

Came across an impressive Chrome Side Panel extension recently. It automatically generates production-ready Page Object Model (POM) files directly from any webpage. You can instantly get clean, structured code for your tests in TypeScript or Python, with: 🔹 Smart element detection and stable locators 🔹 Semantic, readable naming 🔹 Ready-to-use POM structure for direct integration This is a great step by the Playwright team making automation faster, cleaner, and more developer-friendly. Definitely worth trying if you work in test automation or framework design. https://lnkd.in/d-iPrQZR #Playwright #TestAutomation #PageObjectModel #TypeScript #Python #SDET #QA #AutomationFramework

🐍 (project 20) - The Classic Python Snake Game! 🚀 GitHub: https://lnkd.in/e2WHfWJU Just wrapped up this classic game built entirely in Python using the turtle library! This wasn't just about movement; it was a deep dive into applying Object-Oriented Programming (OOP) to a fast-paced, continuous application. The main challenge was orchestrating the movement of all the snake segments and managing collision detection across multiple objects in real-time. Key features implemented: Modular OOP Design: Created dedicated, reusable classes for the Snake, the Food, and the ScoreBoard. This ensures the code is clean and scalable. Dynamic Difficulty Selector: Players choose a difficulty ('s', 'm', or 'h') at the start. This dynamically changes the game's refresh rate (speed) using time.sleep(), providing a genuine challenge. Continuous Game Logic: Used a non-stop while loop and screen refresh control (screen.tracer(0)) to achieve smooth, non-stop motion for the snake segments. Comprehensive Collision Detection: The game accurately detects three key failure points: collision with the Walls (to end the game), and collision with the Tail (to end the game), while also detecting collision with the Food (to grow and score). This project reinforced my understanding of OOP principles, implementing inheritance (extending the Turtle class), managing class relationships, and using event listeners (screen.onkey) for a responsive user interface. Looking forward to applying these skills in my next project. Feel free to check out the code on GitHub and share your thoughts on the OOP structure! #Python #OOP #GameDev #Project20 #SoftwareDevelopment #CodingProjects