Django vs FastAPI: Key Differences in Python Backend Development

Understanding the structure of the Django Framework 🐍 From manage.py to settings.py, URLs to Views, Models to Templates — Django follows a powerful MVT (Model-View-Template) architecture that makes web development structured and scalable. Learning Django step by step to build secure and efficient web applications. 🚀 #Python #Django #WebDevelopment #FullStackDeveloper

Most Django tutorials teach you how to build features. Very few teach you how to structure a real production project. After working on multiple Django systems, I realized that bad project structure becomes technical debt very quickly. So I wrote a complete guide on: • Production Django architecture • Service layer pattern • Selectors for queries • Environment-based settings • Scalable app structure If you're building serious Django applications, this can save you months of refactoring later. Full article: https://lnkd.in/dVNbu939 If you found this useful, share it with your team 👇 #django #webdevelopment #backend #python

🚀 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 🚀

Task Manager REST API built with Django and Django REST Framework. This project includes: • CRUD operations for tasks • Owner-based permissions (only owners can modify tasks) • Pagination for task lists • Filtering by status and due date • Clean RESTful API structure This project helped me strengthen my understanding of API development, serializers, permissions, and backend architecture. #Python #Django #DjangoRESTFramework #BackendDevelopment #RESTAPI #WebDevelopment #GitHub

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

Django Commands Every Beginner Should Know When starting with Django, remembering all the commands can feel confusing. So I created a simple cheat sheet of commonly used Django commands to make things easier. This can help you: • set up a project quickly. • run your server. • manage apps and migrations. • work more efficiently while building projects. If you're learning Django, these commands will be useful in your daily workflow. Comment Down, Which Django command do you use the most? 📌I share simple Python and backend learnings here. #Django #Python #WebDevelopment #Backend #Programming #LearnToCode #SoftwareEngineering #PythonDeveloper

One thing I really appreciate about Django is how much it focuses on developer productivity. With features like the built-in admin panel, ORM, authentication system, and strong security practices, it allows developers to focus more on building the actual product instead of reinventing common components. Over time, I’ve realized that Django isn’t just a framework for building websites — it’s a solid foundation for scalable backend systems and APIs. When used well, it can significantly reduce development time while maintaining clean architecture. #Django #Python #BackendDevelopment #SoftwareDevelopment #WebDevelopment

Understanding Virtual Environments in Django (From My Learning Journey) While learning Django, one concept that really changed how I manage projects is the virtual environment. At first, I used to install all Python packages globally. It worked… until different projects needed different versions of the same library. That’s when things started breaking That’s where virtual environments come in. A virtual environment is like a separate workspace for each project, where: ✔ Dependencies are isolated ✔ No conflicts between projects ✔ Easy to manage and maintain 🔧 What I learned: Each Django project should have its own virtual environment It helps keep the system clean and organized Makes deployment and collaboration much easier 📌 Basic workflow I follow: Create environment → python -m venv env Activate it → env\Scripts\activate Install Django → pip install django Simple… but powerful. Honestly, this small practice makes a big difference when working on real-world projects. If you're starting with Django, don’t skip this step! #Django #Python #WebDevelopment #LearningJourney #BackendDevelopment

Here's a digest of "GitHub - Distributive-Network/PythonMonkey: A Mozilla SpiderMonkey JavaScript engine embedded into the Python VM, using the Python engine to provide the JS host environment." for your feed PythonMonkey embeds Mozilla's SpiderMonkey JavaScript engine directly into the Python runtime, letting developers call JavaScript from Python and Python from JavaScript within the same process — no serialization or IPC required. The project shares memory backing stores between languages for strings, typed arrays, and buffers, making cross-language data transfer extremely fast. Python dicts and lists automatically behave as JS objects and arrays (and vice versa), with full method support through proxy wrappers. It ships with a CommonJS module system, an event loop (supporting setTimeout and Promises as Python awaitables), and standard JS globals like console and XMLHttpRequest. The project reached MVP in September 2024, installs via `pip install pythonmonkey`, and Distributive actively maintains it while welcoming external contributions.

🐍📺 In this video course, you'll learn how to use Django Ninja, a FastAPI-inspired tool for turning Django views into REST API endpoints. With Ninja, you can quickly build API endpoints. #python