Zigmund v0.1.0: Open-Source Zig Web Framework

𝗠𝘆 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗣𝗼𝗿𝗳𝗼𝗹𝗶𝗼 I built my developer portfolio using Next.js and deployed it on Vercel. It shows my work as a Python backend developer with experience in FastAPI, Django, and API development. You can check my portfolio at https://lnkd.in/gk34eTe4. I want your feedback. Source: https://lnkd.in/g72Dd9NM

About time. They stopped re-scanning the whole repo like it’s 2010 and instead stitch a tiny PR database onto a cached full-db. Real wins for large repos – JS/Python/Java get the most. Only downside: default query suite only and CLI support later. Still, practical speedups beat another blog post about speedups.

𝗗𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗼𝗳 𝗚𝘂𝗻𝗶𝗰𝗼𝗿𝗻 𝗮𝘀 𝗷𝘂𝘀𝘁 𝗮 𝗪𝗦𝗚𝗜 𝘀𝗲𝗿𝘃𝗲𝗿? It’s more than that. What is WSGI? It’s a specification that defines how a Python web framework and a Python server communicate with each other. WSGI is implemented in Gunicorn, but that’s only part of the story. At its core, Gunicorn is a Python web server with full lifecycle management. That includes: - Worker process management — creation and supervision - OS signal handling for dynamic control (reload, shutdown, scaling, etc.) - HTTP message parsing For example, you can run a non-WSGI app with Gunicorn using the Uvicorn worker and FastAPI—even before version 24+. If you want to understand how Gunicorn works step by step, check out this content: https://lnkd.in/ednj284z So what is Gunicorn? Gunicorn is a pre-fork model Python web server.

Agentuity sandboxes can take one prompt, generate TypeScript and Python code, and run both in isolated environments. Plus, you get end-to-end type safety across the agent, API, and frontend. Our built-in evals suite can then validate the sandbox output with an LLM-as-a-judge pattern. See the full demo: https://lnkd.in/gqTw65Ny Check out the code: https://lnkd.in/gXz7PKGp

Day 189 of 200 Days of Code Challenge. #CCBP #NxtWave #React_Hooks #useEffect #Python #ReactJS #HTML #CSS #Rivison_Javascript #Python #SQL  #NodeJS #ExpressJS #Components #MongoDB In JavaScript, objects can inherit directly from other objects through the prototype chain. Instead of classical classes, JS leverages prototypes to share properties and methods. 👉 This means: Every object has a hidden [[Prototype]] reference. Methods defined on a prototype are accessible to all instances. It’s a powerful way to reuse code and keep memory efficient

𝐇𝐓𝐓𝐏 𝐒𝐭𝐚𝐭𝐮𝐬 𝐂𝐨𝐝𝐞𝐬 & 𝐄𝐫𝐫𝐨𝐫 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠 In backend development, whenever a client sends a request, the server responds with a status code indicating whether the request was successful or if an error occurred. Some commonly used status codes include: • 200 — OK (Request successful) • 201 — Created (New resource created) • 400 — Bad Request (Invalid request from client) • 404 — Not Found (Requested resource does not exist) • 500 — Internal Server Error (Unexpected server failure) Understanding these status codes is essential for designing reliable APIs and handling errors effectively. #Python #Django #BackendDevelopment #APIDevelopment

Just shipped FastReact — a Python library that unifies FastAPI + React into one stack 🐍⚛️ 𝗪𝗵𝗮𝘁 𝗶𝘁 𝘀𝗼𝗹𝘃𝗲𝘀: Running FastAPI + React always meant two servers, manual CORS config, and cryptic JSON errors when something breaks. FastReact eliminates all of that. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: ⚡ One CLI command starts everything — fastreact dev main:app --reload 🔴 Python tracebacks render as browser overlays (like React's own error screen) 🔒 Route protection built in — React pages are browser-only, API tools get 405 📡 --call flag shows every live request colored by method and status 🐍 Works with both FastAPI and Flask 𝗜𝗻𝘀𝘁𝗮𝗹𝗹: pip install fastreact 𝗩𝟬.𝟮.𝟬 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 has something groundbreaking for local dev — stay tuned 👀 Would love feedback from anyone building fullstack Python apps! 🔗 PyPI: pypi.org/project/fastreact 🔗 GitHub: https://lnkd.in/gBnGbB6t #Python #FastAPI #React #OpenSource #WebDevelopment #PyPI #Flask #Fullstack #Programming

NestJS (Express.js) vs FastAPI: Which Backend Framework Should You Choose? Choosing the right backend framework can shape how fast and maintainable your application becomes. NestJS, built on Express.js and TypeScript, is ideal for large, modular, enterprise-ready applications with built-in dependency injection, GraphQL, and WebSocket support. FastAPI, built in Python, focuses on speed and simplicity with native async support, automatic validation, and interactive API docs. If you want a structured TypeScript backend, go for NestJS; if you want rapid Python APIs, FastAPI is your friend. Both are modern, efficient, and developer-friendly — the right choice depends on your project needs.

𝗧𝗵𝗶𝘀 𝗽𝗮𝘀𝘁 𝘄𝗲𝗲𝗸𝗲𝗻𝗱 𝗜 𝗯𝘂𝗶𝗹𝘁 𝗮 𝗻𝗲𝘄 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲: 𝗗𝗷𝘂𝗹𝗲. Djule is a new templating engine for Django. At first glance it looks like Python and HTML had a baby, but under the hood it’s actually a new language with its own lexer, tokens, compiler, and runtime. The goal is to make HTML more modular and expressive while keeping everything developers love about Django’s server-rendered architecture. Djule sits directly on top of Django and explores a different direction for building UI: Python-driven components, composable HTML, and a simpler developer experience without forcing heavy frontend frameworks. 𝗩𝟭 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗽𝘂𝗯𝗹𝗶𝘀𝗵𝗲𝗱 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝘁𝗵𝗶𝘀 𝘄𝗲𝗲𝗸. Still early, but excited about where this could go. #Django #Python #WebDevelopment #DeveloperTools #OpenSource