Docker for Python Backend Developers: Reproducibility & Scalability

Outlines a Python monorepo setup that pairs uv workspaces with Dagger and BuildKit caching. Builds container stages programmatically. Keeps things cache-friendly and predictable. Parses pyproject.toml and extracts the workspace graph. Copies required local packages into intermediate stages. Installs them in editable mode so caches survive and rebuilds stay fast. uv and Dagger turn CI from ad-hoc scripts into workspace-driven, cache-first monorepo builds. The result: per-package containerization that scales and caches sensibly. https://lnkd.in/e5GYVy2d --- Love it? Get our newsletter 👉 https://faun.dev/join

🚀 Python Hidden Hacks Every Developer MUST Know! 🐍✨ Think you know Python? Think again. 💡 These hidden tricks can level up your coding game from average to PRO in no time! ⚡ 🔥 From swapping variables in one line 🔥 To mastering list comprehensions & zip() 🔥 To writing cleaner, faster, and more Pythonic code 👉 Small improvements = Massive productivity boost 💼 Pro Developer Mindset: ✔ Write clean & readable code ✔ Use built-in functions smartly ✔ Avoid common mistakes like mutable defaults & ignoring exceptions 💬 Remember: “Great developers don’t just write code… they write elegant code.” ✨ 👇 Which Python trick surprised you the most? Comment below! Medium - https://lnkd.in/g5_u8eia Google Blogs - https://lnkd.in/gqvJahW8 Personal Site - https://lnkd.in/gRaaB2Ga Medium - https://lnkd.in/g5_u8eia #Python #Programming #Developer #CodingTips #SoftwareEngineering #100DaysOfCode #Tech #CleanCode #CodingLife #Developers #LearnToCode #Productivity #PythonTips #CodeSmart 🚀

🚀 New Tutorial!! Just published a step-by-step guide on integrating GitLab feature flags into a Python Flask app using the Unleash SDK so you can control feature rollouts in real time without redeploying a single line of code. Learn how to: ✅ Create and manage feature flags directly in GitLab ✅ Connect the Unleash Python SDK with zero personal access tokens ✅ Roll out features progressively from QA teams to a % of users to everyone ✅ Toggle features instantly if something goes wrong in production Check out my Blog: https://lnkd.in/eXDc73nE #DevOps #GitLab #FeatureFlags #Python #Flask #CI_CD #CloudEngineering

Released on March 16, 2014, Python 3.4 arrived with zero new syntax features. None. If you were hoping for a new operator or a shiny keyword, you’d have been disappointed. What you got instead was something more durable: a standard library that finally felt like it was built for the modern web. https://lnkd.in/ddygQziM

The journey of learning Python is transformative. Starting from writing simple scripts to harnessing powerful libraries, and eventually building AI-driven applications with frameworks like Django, each step unlocks new possibilities. This comic perfectly captures the evolution of a developer’s skills and the excitement of continuous growth.

I recently went through these three essentials to sharpen my approach to Python and software craftsmanship: 📚Clean Code (Robert C. Martin) – Focus on readability and maintainable architecture. 📚Fluent Python (Luciano Ramalho) – Master the idiomatic "Pythonic" way of doing things. 📚High Performance Python (Gorelick & Ozsvald) – Optimize for speed, scale, and efficiency. Whether I'm building a small script or a large-scale system, these will remain my go-to guides for writing code that lasts.

If you want to build SaaS products fast with Python, start learning FastAPI. It’s simple, powerful, and incredibly fast for building APIs. Less code. Better performance. Faster product launches. Perfect for developers who want to turn ideas into products quickly. #FastAPI #Python #SaaS #BuildInPublic

turboAPI - FastAPI compatible python framework, but written in Zig Apparently a drop-in replacement with a much better performance footprint by removing GIL and more handlers written in Zig. https://lnkd.in/eCAUHvV7

Python SDK for Liveblocks. Power your collaborative back end with our new SDK for Python. Featuring 85+ methods for managing rooms, updating realtime storage, building agent workflows, and more. https://lblcks.io/TJF1J4n