Top Python Frameworks for Web Development in 2025

🐍 The Lightest Way to Run Python from .NET Need to execute Python code from your C# application without complex setup and boilerplate? I built DotNetPy: ✅ Zero Boilerplate - No GIL management or Source Generator required ✅ AOT-Friendly - Explicitly designed for Native AOT scenarios ✅ Minimal Learning Curve - Execute Python in just a few lines ✅ Apache 2.0 Licensed From evaluating Python expressions to complex data marshaling, it's a much lighter alternative to pythonnet or CSnakes. Example: Python.Initialize(pythonLibraryPath); var executor = Python.GetInstance(); var result = executor.Evaluate("sum([1,2,3,4,5])"); Console.WriteLine(result?.GetInt32()); // 15 🔗 GitHub: https://lnkd.in/g23PEys8 ⭐ Apache 2.0 | AOT-Compatible | Lightweight ⚠️ Note: Experimental - extensive testing needed before production use Feedback & contributions welcome! #dotnet #python #csharp #opensource #interop #nativeaot #programming #developers

Concept 1/15: Introduction to Object-Oriented Programming in Python Hi everyone! 👋 I'm winston mhango, a full-stack developer with 7+ years building scalable applications using Python, Django, Flask, FastAPI, and now exploring the #Air framework as well as React and Nextjs. 📆 Today begins our journey into Python OOP - from fundamentals to advanced concepts. Whether you're new to programming or leveling up your skills, this series is for you! It is bite sized , and tailored for you here on Linkedin! Lets jump right in with it : Object-Oriented Programming (OOP) organizes code around objects rather than functions. Think of objects as real-world entities with properties (attributes) and behaviors (methods). Why OOP matters in production: There are alot of benefits to that mental thinking about programs, but as a full-stack developer working with Python frameworks and libraries: ✅ Django models are classes representing database tables ✅ FastAPI routers use class-based views for organization ✅ Flask applications structure blueprints as objects As you can observe from the code in the image, each object has its own data and behavior. This encapsulation makes code modular, reusable, and maintainable. 🎯 Key Takeaway: Classes are blueprints; objects are instances created from those blueprints. This is the foundation of all OOP concepts we'll explore. Make sure to stick around for the next concept: "Classes and Objects - The Building Blocks" #Python #OOP #Django #FastAPI #Flask #FullStackDeveloper #ProgrammingConcepts #codetipsblog

🐍📰 Make a Location-Based Web App With Django and GeoDjango In this step-by-step Python tutorial, you’ll learn how to use Django and GeoDjango to build a location-based web application from scratch. #python

FastAPI: Beyond "Async Python" FastAPI's rise in API development isn't just about async versus non-async. It signifies a significant shift in how Python interacts with the web. The Interface Evolution: WSGI vs ASGI When your browser sends a request, it doesn't directly communicate with your Python code. It speaks HTTP, while your app communicates through Python functions. This necessitates a mediator - WSGI or ASGI, defining the communication between the web server (like Gunicorn or Uvicorn) and your Python app. WSGI - Traditional Approach WSGI (Web Server Gateway Interface) is the longstanding standard (since 2003) utilized by frameworks like Flask and Django. It functions by: - Receiving an HTTP request from the web server - Converting it into a Python-callable format (app(environ, start_response)) - Waiting for your app's response before sending it back as an HTTP response While WSGI is simple and reliable, it operates synchronously, handling one request per worker sequentially, akin to a single phone line scenario. ASGI - The Contemporary Solution ASGI (Asynchronous Server Gateway Interface) modernizes this concept by offering a multi-lane expressway approach. It: - Supports various protocols like HTTP, WebSockets, and background tasks - Enables non-blocking async execution (async def app(scope, receive, send)) - Excels in real-time applications, AI model deployment, and high-concurrency APIs FastAPI leverages ASGI, utilizing servers such as Uvicorn or Hypercorn, tailored for async Python operations. The Significance In today's landscape, systems are not solely serving web pages; they handle diverse tasks like API calls, AI model operations, data streams, and live updates. This necessitates an interface that efficiently communicates across multiple channels, precisely what ASGI provides. FastAPI simplifies this process, offering a user-friendly interface atop this advanced architecture. #FastAPI #Python #ASGI #WSGI #BackendDevelopment #WebArchitecture #SoftwareEngineering #APIs

🚀 Aspire 13 is here — and it’s speaking Python! 🐍 The new release brings true polyglot support, opening the doors for Python developers to embrace Aspire! You can now debug your Python apps directly from VS Code thanks to the brand-new Aspire extension 🧩 — and even kickstart your next project with the new Aspire template for Python + React (Vite) 🎨⚙️ But that’s not all 👇 💻 CLI superpowers — The Aspire CLI now supports deployment steps you can trigger right from your CI/CD pipelines with the aspire do command. Perfect for those who love automating everything! 📊 Smarter insights with the Dashboard MCP tool — You can now connect GitHub Copilot to your Aspire Dashboard and get actionable insights on your app: traces, performance, metrics… directly in your dev flow. Aspire keeps evolving to make distributed app development simpler, smarter, and now truly polyglot. Can’t wait to see what the Python community builds next with it! 💜 Read all about it here: https://lnkd.in/dRuzMBkm #dotnet #ASPIRE #python #vscode #developers #opensource #cloudnative #react #devtools

As a Python developer working increasingly with Node.js, I recently bumped into a familiar problem: importing a script also executes the script. In Python, this is solved with the classic pattern: if __name__ == "__main__": main() While digging for the Node.js equivalent, I discovered: if (require.main === module) { main(); } And that moment reminded me of something important: 👉 Most programming languages solve the same problems in surprisingly similar ways. The deeper I move between Python and JavaScript, the more patterns I see repeat: Python list comprehensions → JS map, filter, reduce Python tuple unpacking → JS destructuring Python modules → Node’s CommonJS/ESM Python’s focus on readability → JS’s modern ES6+ ergonomics Underneath the syntax, the concepts feel nearly identical. Switching between languages stops being “starting over” and becomes more like re-learning a familiar idea through a different lens. It’s a nice reminder that once you truly learn problem-solving, learning new languages becomes a lot less about the language and a lot more about recognizing patterns. #Python #NodeJS

🐍📰 Digging Deeper Into Django Migrations In this step-by-step Python tutorial, you'll not only take a closer look at the new Django migrations system that is integrated into Django but also walk through the migration files themselves. #python

Building a Generic CRUD Base Class for Scalable Python Backends One common pain point in backend development is writing the same CRUD (Create, Read, Update, Delete) logic again and again for each data model. https://lnkd.in/ev4Dq3zB #python #fastapi #crud #mongo #generic

Python OOP : Concept 5/15: Encapsulation and Access Modifiers 📍 Encapsulation bundles data and methods together while controlling access. After building enterprise applications with Django and FastAPI, I've learned that proper encapsulation prevents bugs and improves maintainability. Python doesn't enforce strict access control like Java/C++, but uses naming conventions: 📌 Public: Normal attributes/methods (accessible everywhere) 📌 Protected: Prefixed with _ (internal use suggested) 📌 Private: Prefixed with __ (name mangling applied) 💹 Real example from my Flask APIs: In Django models, I encapsulate business logic in methods rather than exposing raw fields. In FastAPI, I hide implementation details behind clean public interfaces. 🎯 Key Takeaway: Use naming conventions to signal intended access levels. Encapsulation protects data integrity and simplifies maintenance. Follow along for the next concept: "Inheritance Basics - Reusing Code" #Python #OOP #SoftwareDesign #Django #FastAPI #Flask #ProgrammingTips

🚀 Every time you browse the internet whether it’s scrolling through social media, reading a blog, or ordering food online a web server is silently at work behind the scenes, making it all happen. Now, imagine if that web server was powered by Python simple, efficient, and powerful! 🐍 Python web servers are becoming a favorite in the developer world because they make building and managing websites smoother than ever. In my latest blog, I break down what a Python web server is, its key features, and how you can even create one yourself. Perfect for anyone taking their first step toward mastering Python web development! 👉 Read the full blog here: https://lnkd.in/dQHEUcvu #Python #WebDevelopment #WebServer #Coding #Programming #TechLearning #PythonDevelopers #SoftwareEngineering #BackendDevelopment #LearnToCode