Supabase Reviews

Python Reviews

Supabase mentions (433)

• Good alternatives to Heroku

  Subpabase - Like Planetscale this is only for databases. It is an open source Firebase alternative for building secure and performant Postgres backends with minimal configuration. - Source: dev.to / 8 days ago

• You should start creating a View in Supabase!!

  If you are new to postgres or if you are a frontend heavy developer who is currently relying on supabase to have a magic backend appearing out of nowhere, or maybe you are just someone who likes to read stuff and in that case I have something to share with you! - Source: dev.to / 12 days ago

• Mastering Real-Time Collaboration: Building Figma and Miro-Inspired Features with Supabase

  Supabase is a backend as a service visual platform that allows you to create postgres DB with minimum code. Their documentation is so good that it feels like home and you can get your project online in no matter of time. - Source: dev.to / 23 days ago

• Wasp x Supabase: Smokin’ Hot Full-Stack Combo 🌶️ 🔥

  It was a great experience using Supabase’s rock-solid PostgreSQL database for this app. The DX around that product is phenomenal: viewing and managing the DB data was a lifesaver when you don’t want to craft your own admin panel from scratch. - Source: dev.to / 27 days ago

• How I migrated from Firebase to Supabase

  I didn't really give much thought as to which backend I would use. I already had 2 projects in Supabase (BOXCUT & MineWork), but also a few projects in Firebase too. I was more concerned at the time at actually building the product. - Source: dev.to / about 1 month ago

Python mentions (281)

• Marking macOS component packages available based on hardware platform type

  Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / 25 days ago

• Python String Formatting: A Comprehensive Guide to F-strings

  F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 5 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 5 months ago

• Building Fast APIs with FastAPI: A Comprehensive Guide

  FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago