No HTML. No CSS. Just Python 🚀 Building Web Apps made simple with Streamlit Why struggle with frontend when Python can do it all? 👉 Traditional Web Apps = HTML + CSS 👉 Streamlit Apps = Pure Python With Streamlit, you can quickly build interactive web apps for: ✅ Data Science ✅ Machine Learning ✅ GenAI / LLM projects All it takes is one command: streamlit run app.py Learning, building, and experimenting 🚀 More to come! #Python #Streamlit #WebApps #DataScience #MachineLearning #GenerativeAI #LearningByDoing

🚀 Day 14 of #100DaysOfCode Built a Higher Lower game using Python & Streamlit 🔼🔽 🔹 Compare social media accounts 🔹 Guess who has more followers 🔹 Score tracking with instant feedback 🔹 Converted a CLI game into a web app 🌐 Live App: https://lnkd.in/gVufj84r 💻 GitHub: https://lnkd.in/gT7us-up Learning Python by building interactive, logic-based projects. #python #streamlit #learninginpublic #100daysofcode #coding

3 reasons why "Build Python Web Apps with Streamlit - AI and data applications in minutes" is a must-read for 2026. I just finished a deep dive into Aneev Kochakadan’s new book, and it’s a game-changer for the Python community. Here is why you should add it to your shelf: 1. It bridges the gap: It teaches you how to think like a Product Manager, not just a Coder. 2. Interactive Layouts: It goes deep to make your UI look professional. 3. Performance: It covers caching strategies to ensure your apps stay lightning-fast, even with large datasets. Data is only valuable if people can use it. This book shows you how to make that happen.

Ever seen a Python app crash mid-run with no explanation? That is an unhandled exception. It shows up at runtime, not while you write code, and it stops everything cold for your users. In Python, it is more common than you think. Division by zero, bad type conversions, missing keys, or files that are not there can all take your service down if unplanned. The fix starts with a mindset: anticipate failure, then teach your code what to do when it happens. - Handle each case specifically so users get clear messages and you debug faster. - Do not catch everything. Know which errors to handle and which to let surface. - Keep a clear success path and always-run cleanup so logic stays readable. As systems grow, define domain rules and raise explicit, meaningful exceptions so the team stops guessing. Add context to errors, keep modules responsible for their own work, and escalate to the right layer. If you write Python for production, analytics, or internal tools, this approach keeps code clean and operations calm. Think broad try-except blocks are safer? They often hide root causes and create silent failure. No time to do this? A few targeted handlers plus a finally block now will save hours of triage later. At borntoDev, we focus on practical exception-handling habits you can apply today: specific handling, clear success paths, domain errors with context, and professional error propagation. Follow borntoDev for more real-world Python and share how your team handles exceptions. 🚀 #borntoDev #Python #ErrorHandling #CleanCode #SoftwareEngineering #Debugging

Just wrapped up my first Python automation script. Turned a 2-hour manual task into 5 minutes of code. The feeling when your code actually works? Unmatched. Here's what I learned: • Start small, build up • Debug early and often • Google is your best friend • Stack Overflow saves lives Currently diving deeper into web development with JavaScript. Every bug is a lesson. Every solution is progress. What's the most satisfying piece of code you've written recently? #Python #WebDevelopment #CodingJourney

🚀 Taking my first steps into modern python backend development with FastAPI! ’m excited to share that I’ve been diving into FastAPI, one of the fastest and most intuitive Python frameworks for building APIs. To put my learning into practice, I built a fully functional Calculator App where the logic doesn't just live in the browser—it's powered by a Python backend! 🐍 What I built: A Clean, responsive Calculator web app where every operation (addition, subtraction, multiplication, division) is processed via API calls to a FastAPI server. Why FastAPI? Coming from a Python background, I was blown away by how fast it is to get up and running. The auto-generated documentation (Swagger UI) made testing my endpoints a breeze. Check it out live and let me know what you think! Live Demo: https://lnkd.in/dSMmBFX5 GitHub Repo: https://lnkd.in/dCYHnfHZ I’m just getting started. Any FastAPI pros out there? specific libraries or best practices I should look into next? #FastAPI #Python #WebDevelopment #CodingJourney #Backend #Render #OpenSource #LearningByDoing https://lnkd.in/dCYHnfHZ

Ever wondered how a Python app actually serves a web page? Think of a Python web server like a waiter in a restaurant, it takes requests from users, passes them to the kitchen (your app), and delivers the response back to the table. From simple websites to full-scale web applications, Python web servers quietly handle requests, routes, and data behind the scenes to keep everything running smoothly. Curious how it all works and which tools are involved? Full blog link is shared in the first comment. 👇 #Python #PythonWebServer #WebTech #ServerBasics

I’m currently working on an in-memory Python console-based Todo app, and instead of rushing features, I’m focusing on spec-driven development, clean architecture, and thoughtful UI — even in the terminal. What makes it interesting for me: Clear specs before code (Spec-Kit mindset) Clean, modular Python structure A console UI that’s actually pleasant to use Lightweight animations to make CLI feel alive No database, no shortcuts — just solid fundamentals This is Phase I of a multi-phase journey that will later evolve into a full-stack and AI-powered system, but the goal right now is simple: build strong foundations. Sometimes growth isn’t about flashy tech — it’s about discipline, clarity, and doing the basics well. Onward 🚀 #Python #CleanCode #CLI #SoftwareArchitecture #LearningInPublic #Developers

I wrote a short Medium article on how I used Python Enums to clean up messy business logic in a backend service. This came from real production pain. Too many string checks, scattered rules, and bugs that never failed loudly. Moving logic into enums made the code boring and predictable, which honestly helped a lot. Sharing in case it helps someone dealing with similar order state or workflow logic. https://lnkd.in/gmuU3irs If you have handled this differently or used state machines instead, would like to hear what worked for you. #python #programming #softwareengineering #developer

I always thought backend development was complex… until I tried FastAPI. Today’s biggest realization 👇 An API is just a Python function with a route. @app.get("/") def home(): return {"message": "Hello World"} Request comes in → function runs → response goes out. That’s it. 🔹 Why FastAPI Clicked for Me (as a Beginner) 1️⃣ Automatic API Docs (Game Changer) FastAPI gives you: /docs (Swagger UI) /redoc No extra setup. As a beginner, being able to see and test APIs visually makes learning 10x easier. #FastAPI #Python #BackendDevelopment #AIBeginners #LearningInPublic #Hackathon #DeveloperJourney