FastReact: Unify FastAPI + React with One CLI Command

Day 56 of #90DaysOfCode Today I started exploring backend web development with Flask by building a minimal web application in Python. The application initializes a Flask server and defines a route that returns a simple response when accessed through the browser. Although small, this project introduces the core concepts behind how web frameworks handle routing and HTTP requests. Key concepts explored • Creating a Flask application instance • Defining routes using decorators • Handling HTTP requests in a backend framework • Running a local development server This marks the beginning of building web applications and APIs using Python and Flask. GitHub Repository https://lnkd.in/gEBzxXhF #Python #Flask #BackendDevelopment #WebDevelopment #SoftwareEngineering #90DaysOfCode

🚀 Getting Started with FastAPI FastAPI is a modern, high-performance Python framework used to build APIs quickly and efficiently. It leverages Python’s type hints and supports asynchronous programming, making it powerful yet easy to use. 🔹 Why is it used? FastAPI is widely used to create scalable and production-ready APIs for web applications, microservices, and real-time systems. It simplifies backend development with automatic validation, clean structure, and built-in interactive documentation. 🔹 Why is it so popular? Because it combines speed, simplicity, and modern features: ⚡ High performance 🔄 Async support 📄 Automatic API documentation 🧠 Minimal boilerplate & developer-friendly 🔹 How to get started? In just 3 steps: ✅ Install the required packages ✅ Create your API endpoints ✅ Run your server 💡 FastAPI makes building modern Python APIs incredibly simple and efficient — a great choice for anyone exploring backend development or moving towards modern API frameworks. #Python #FastAPI #BackendDevelopment #RESTAPI #AsyncPython #WebDevelopment #TechLearning 🚀

FastAPI has become the standard for building high-performance Python backends. It successfully combines the developer experience of a lightweight framework with the speed required for modern, asynchronous applications. Here is why it is a go-to for production-ready systems: • Performance: Built on Starlette and Pydantic, it is one of the fastest Python frameworks available. • Efficiency: Features like automatic OpenAPI (Swagger) docs and built-in data validation reduce boilerplate significantly. • Async Support: Native support for asynchronous programming makes it ideal for real-time apps and ML model deployment. • Reliability: Leveraging Python type hints ensures fewer bugs and better editor support during development. Whether you are architecting microservices or a simple REST API, FastAPI provides the scalability and speed that modern software demands. Are you still using Flask for your initial prototypes, or have you made the full switch to FastAPI? . . . #Python #FastAPI #Backend #WebDev #Microservices #Coding

Flask vs Django: Key Differences Every Python Developer Should Know #programming #webdesign #rswebsols https://ift.tt/bB6T4co Excited to share our latest dive into Python web frameworks: Flask vs Django. This post breaks down the key differences every developer should know, from project size and complexity to learning curves, speed of development, and ecosystem strength. If you’re choosing the right tool for your next project, this comparison will help you make an informed decision between Django’s batteries-included approach and Flask’s lightweight, flexible design. Read the full analysis and decide which framework aligns with your goals and team needs. Link: https://ift.tt/bB6T4co

Most Python developers use Flask, FastAPI, or Django… But many still overlook one fundamental concept: HTTP methods. No matter which framework you choose, everything comes down to how your application handles these requests: • GET – Retrieve data • POST – Create a resource • PUT – Replace an entire resource • PATCH – Update specific fields • DELETE – Remove a resource Here’s where it gets interesting 👇 A lot of developers confuse PUT and PATCH. PUT → Replaces the entire resource PATCH → Updates only what’s necessary Why does this matter? Because choosing the right method leads to: ✔ Cleaner API design ✔ Better performance ✔ Easier maintainability Frameworks may differ in style and complexity, but the foundation remains the same: HTTP. Master these basics once, and switching between Flask, FastAPI, and Django becomes much easier. What’s one concept in backend development that took you time to fully understand? #Python #WebDevelopment #APIDesign #BackendDevelopment #Flask #FastAPI #Django #HTTPMethods

5 Docker mistakes I see in every Python project I've reviewed dozens of Dockerfiles for Django and FastAPI apps. The same problems keep showing up: 1️⃣ Using python:latest as base image → It's 900MB+. Use python:3.12-slim. Your builds will be 3x faster and your images 4x smaller. 2️⃣ Not using .dockerignore → Your .git folder, __pycache__, .env files — all ending up in the image. Slower builds, potential security risk. 3️⃣ Installing requirements before copying code → Layer caching exists for a reason. Copy requirements.txt first, install deps, THEN copy your code. Every code change won't rebuild all dependencies. 4️⃣ Running as root → Add a non-root user. It takes 2 lines and prevents an entire class of security issues. 5️⃣ No health checks → Your container is "running" but your app crashed 10 minutes ago. Add HEALTHCHECK — let Docker know when something is actually wrong. Fix these five things and your Docker setup goes from "it works on my machine" to production-ready. Which one are you guilty of? 👇 #Docker #Python #DevOps #BackendDevelopment #SoftwareEngineering

5 Docker mistakes I see in every Python project I've reviewed dozens of Dockerfiles for Django and FastAPI apps. The same problems keep showing up: 1️⃣ Using python:latest as base image → It's 900MB+. Use python:3.12-slim. Your builds will be 3x faster and your images 4x smaller. 2️⃣ Not using .dockerignore → Your .git folder, __pycache__, .env files — all ending up in the image. Slower builds, potential security risk. 3️⃣ Installing requirements before copying code → Layer caching exists for a reason. Copy requirements.txt first, install deps, THEN copy your code. Every code change won't rebuild all dependencies. 4️⃣ Running as root → Add a non-root user. It takes 2 lines and prevents an entire class of security issues. 5️⃣ No health checks → Your container is "running" but your app crashed 10 minutes ago. Add HEALTHCHECK — let Docker know when something is actually wrong. Fix these five things and your Docker setup goes from "it works on my machine" to production-ready. Which one are you guilty of? 👇 #Docker #Python #DevOps #BackendDevelopment #SoftwareEngineering

When I first started working with APIs, choosing the right framework was always confusing. 🤔 Over time, I realized it’s not about which is better - it’s about what fits your use case. For me: • FastAPI → when I need lightning-fast, high-performance APIs ⚡ • Django → when I want a full-stack solution with everything built-in 🧩 Both are powerful… just built for different problems. As a developer, the real skill is knowing when to use what. If you’re stuck choosing between FastAPI and Django, feel free to DM me - happy to help. 💬 #FastAPI #Django #BackendDevelopment #WebDevelopment #Python

The flasgo website is now live. You want a fast async typed Python web framework that has security built in from the start(follows owasp 2025) requires Python 3.14 and has a small attack surface as possible with django like security primatives but is easy as using flask? Then you have come to the right place. #python #webdevelopment #web