FastAPI with Docker Compose: Streamlining Development and Deployment In the ever-evolving landscape of web development, building and deploying applications efficiently is crucial. FastAPI, with its speed and modern Python features, has gained immense popularity. However, managing the dependencies, configurations, and deployment of a FastAPI application can quickly become complex. This is where Docker Compose comes in. Docker Compose simplifies the process by allowing you to define and run multi-container Docker applications....
FastAPI with Docker Compose Simplified Development
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FastAPI with Dependency Injection: A Beginner’s Guide In the world of web development, building robust and maintainable APIs is paramount. As your projects grow, managing dependencies—the various components your application relies on—becomes increasingly complex. This is where dependency injection (DI) comes in. It's a powerful technique that promotes code reusability, testability, and a cleaner overall architecture. FastAPI, a modern, fast (high-performance), web framework for building APIs with Python, provides excellent support for dependency injection....
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Over the last few weeks, I’ve been exploring Python backend development, especially Django and FastAPI. Today I learned some key differences between them. Django vs FastAPI 🔹 Django A full-stack web framework Comes with built-in features like ORM, authentication, admin panel Best for large applications and rapid development Uses synchronous programming (WSGI) by default Slightly heavier but very structured 🔹 FastAPI A modern, high-performance API framework Designed mainly for building APIs Uses asynchronous programming (ASGI) Automatic interactive API docs (Swagger & ReDoc) Very fast and lightweight 💡 My takeaway: Django is great when you want a complete web framework, while FastAPI is perfect when you need high-performance APIs or microservices. #Python #Django #FastAPI #BackendDevelopment #WebDevelopment #LearningInPublic
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VS Code extensions are a bit like kitchen knives. You don't need 47 of them. You need the three that actually work. Windsurf's new extension guidance just dropped, and it's refreshingly honest about this. No "unlock your potential with 200 plugins" nonsense. Just a curated list of what actually helps devs across Python, Java, C#, and the rest. What caught me? They're not pushing their own ecosystem. They're pointing to the Open VSX Registry and saying "go build your own stack." That's rare. Most tools want to lock you in. The practical wins are obvious. GitLens for code history. Ruff for Python linting. The Java Extension Pack if you're knee-deep in enterprise code. But the real value isn't the list itself. It's the admission that context matters. A Python dev's setup looks nothing like a Java dev's. Pretending otherwise is just noise. I've seen teams waste weeks hunting for the "perfect" IDE setup when the real bottleneck was bad code reviews and no pair programming. Extensions are just force multipliers on top of solid fundamentals. If you're onboarding developers or setting up a new machine, this beats the usual "install everything" approach. Worth a bookmark. https://lnkd.in/eR_F_Eeg
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FastAPI with Ruff: Supercharge Your Code Quality In the fast-paced world of web development, writing clean, maintainable, and efficient code is paramount. As your projects grow, the need for consistent code style, error detection, and performance optimization becomes increasingly important. This is where tools like Ruff come into play. Ruff is a blazingly fast Python linter and formatter that can significantly improve the quality of your FastAPI applications....
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Most API tools implement scripting as a thin JavaScript layer. And yes, this can be ok for small tests, but it quickly breaks down when you start working with real, multi-step systems. In Voiden, we designed scripting as a true runtime layer: - It supports multiple languages, so you can use the one that fits your stack. - It runs on real interpreters, not a limited sandbox. - You can import packages and reuse your existing logic. - Workflows are stateful, letting you chain requests and maintain context across them. Already works with JavaScript and Python. Tomorrow, more languages will follow. The result: orchestration-level automation right inside your API client. Are you aware of another API tool that goes this far today? Download here: https://voiden.md/download GitHub: https://lnkd.in/d4rG6PcU
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Python developers love FastAPI. Zig developers had nothing like it. Until now. We just released Zigmund v0.1.0 — a fully open-source web framework for Zig, inspired by FastAPI. Same developer experience. Typed parameters. Automatic OpenAPI docs. Dependency injection. Middleware pipeline. But compiled to a single native binary with no garbage collector, no runtime, and no Docker required. What ships in v0.1.0: → Full HTTP routing
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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
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Recently, I implemented chunked file upload functionality in Django using django-chunked-upload, and it significantly improved performance and reliability. In one of my recent projects, I needed to upload large video files. Instead of sending the entire file in a single request (which often causes timeout or server limits), I implemented chunk-based uploading. Using chunked upload: ✔ Reduced upload failures ✔ Improved overall system stability ✔ Enabled accurate frontend progress tracking ✔ Successfully handled large video uploads without Cloudflare request size restrictions By splitting large files into smaller chunks, the application can process uploads more efficiently and avoid common limitations like request timeouts or proxy size limits. #Django #Python #BackendDevelopment #DRF #WebDevelopment #SoftwareEngineering #ScalableSystems
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I'm excited to launch of VenvManager — a cross-platform desktop app that simplifies Python environment management. If you've ever struggled with juggling multiple Python versions, manually creating virtual environments, or fighting with shell configurations just to get the right Python on your PATH — this is for you. VenvManager gives you a clean, modern GUI to: - Install and manage multiple Python versions side-by-side (no admin privileges needed) - Set any environment as your global default python interpreter with one click - Create, organize, and switch between virtual environments visually - Install, update, and remove packages from PyPI without touching the terminal It's free for personal use. Download it at http://venvmanager.com I'd love to hear your feedback — what would make this more useful for your workflow? NB: The project is currently not open source - I might change this in the future.
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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
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