FastAPI Simplifies Backend Development with Python Functions

FastAPI Practice Project (Beginner Friendly) I built a simple FastAPI project to understand backend API development from scratch. This project helped me learn: ✅ Basic API endpoints ✅ Query parameters ✅ Sorting data using query params ✅ Error handling with HTTPException The complete code is written in a simple and easy way, with clear comments so beginners can understand it easily. 📌Below is GitHub link https://lnkd.in/e4syrGRp #FastAPI #Python #BackendDevelopment #APIs #Programming #LearningJourney #BeginnerFriendly #PythonDeveloper

FastAPI is rapidly becoming a preferred choice among Python frameworks, and it’s easy to see why. Built on Starlette and Pydantic, FastAPI enables the creation of high-performance APIs with clean, readable code. Its async-first design and support for Python’s async/await contribute to its impressive speed. Key features that enhance the developer experience include: - Automatic, interactive API documentation (Swagger & ReDoc) included by default - Built-in data validation and type safety - Reduced boilerplate, fewer bugs, and quicker development cycles Whether you are developing microservices, machine learning-powered APIs, or robust backends, FastAPI offers an exceptional balance of speed, simplicity, and scalability. For those still relying on older frameworks for new projects, FastAPI is definitely worth considering. It serves not only as a framework but also as a significant productivity enhancer. #FastAPI #Python #APIs #BackendDevelopment #WebDevelopment #TechTrends

🚀 Released v0.1.0 of ProGuin — My First Python CLI Project I’m excited to share the first release of ProGuin (Open Source Project), a simple CLI-based productivity system I’ve been building while learning Python. ProGuin is not just another todo app. It’s an experiment in building a system that focuses on: ✔ Simple, distraction-free workflows Current features (v0.1.0): Add tasks Optional timer Optional reward Persistent storage (JSON) Lightweight CLI design This project helped me learn a lot about: Structuring Python programs Working with files and JSON Designing simple user flows Iterating based on feedback I’m also happy to see people starting to contribute to the project — contributions are welcome, and I’d love to collaborate with more developers. 🔗 GitHub: https://lnkd.in/gEb-FhR5 I shared this on Reddit and received great feedback(went top 5 after release): 👉https://lnkd.in/gq7xQ78n 🌐 Web version coming soon — domain secured: proguin.in Feedback, suggestions, and ideas are very welcome! #Python #OpenSource #CLI #Programming #BuildInPublic #LearningToCode #SoftwareDevelopment #DeveloperJourney #SideProject #Productivity

🚀 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

🚀 FastAPI: Your Quickstart Guide to Building APIs If you’re getting started with backend development or planning to build high-performance APIs in Python, FastAPI is a game-changer. ⚡ From automatic documentation to blazing-fast performance and built-in validation, it’s one of the best frameworks for REST APIs, microservices, and even serving ML models. Start small, understand the core concepts, and build mini-projects like a To-Do app or Blog API — consistency is what compounds your skills over time. 💡 Learning the right tools today sets the foundation for scalable systems tomorrow. #FastAPI #Python #BackendDevelopment #APIs #WebDevelopment #SoftwareEngineering #Programming #LearnToCode #TechSkills #DeveloperJourney

Lessons from learning how to build a web application: - The file name has a # in it, which is why your python file can't find it - You have to press "Deploy" to actually deploy - Don't turn auto-deploy on when you're messing around in GitHub - Optimise for mobile However, it's worth it to see Siegmund go live

🚀 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

Until recently, I believed Python and the browser lived in two different worlds. While reading about Pyodide, I learned that CPython itself can be compiled to WebAssembly and executed directly inside the browser. This isn’t a transpiler or a simplified runtime — it’s real Python running client-side. What makes this interesting is the implication: data analysis, visualizations, and interactive Python tools no longer require a backend. Libraries like NumPy and Pandas can run inside the browser and even interact with JavaScript and the DOM. This doesn’t replace traditional backend architectures, but it clearly shifts the boundary of what browsers are capable of. The idea that the browser is “just for JavaScript” feels outdated now. #Python #WebAssembly #Pyodide #WebDevelopment

Thrilled to share a quick demo of my YouTube Video Downloader desktop app built in Python using Tkinter and yt-dlp. This tool lets you: Download YouTube videos through a simple GUI instead of running terminal commands. Track real-time download progress and handle common errors smoothly for a better user experience. I built this to sharpen my Python, GUI design, and practical tool-building skills as an ECE student, and it’s now packaged so it can be used as a standalone app. GitHub repo: https://lnkd.in/gueNu43J #Python #Tkinter #ytDLP #GitHub #ECE #Projects