Python Reviews

AI2sql Reviews

Python mentions (282)

• Choosing Between AIOHTTP and Requests: A Python HTTP Libraries Comparison

  Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 9 days ago

• 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 / about 1 month 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 / 6 months ago

AI2sql mentions (8)

• AI2sql: helping engineers and non-engineers to easily write error-free queries without knowing SQL. Powered by GPT3&Codex.

  Hi all, I'm excited to share the new project I've been working on called AI2sql. Check it out here: http://ai2sql.softr.app If you're writing SQL queries, you should try AI2sql. Let's you ask questions in plain English and then AI2sql translates it into SQL, so you can focus on the data and not the syntax. Thanks for taking the time to have a look at this project, I'd appreciate any feedback you might have on... Source: over 2 years ago

• InstructGPT - The new version of GPT-3

  I’ve upgraded AI2sql (generate SQL in seconds) ai2sql.softr.app to use the InstructGPT and its results are better than ever. Source: over 2 years ago

• Have you ever tried building a complex SQL query and found it difficult?

  Offering a simple interface, the tool aims to create SQL queries for non-engineering users. You can try it here: http://ai2sql.softr.app. Source: over 2 years ago

• Practice using real world examples?

  Thought you might be interested in the AI2sql tool. It allows you to simply and easily build SQL queries, so you don’t have to learn any coding. It’s great for beginners or advanced users who find coding a hassle. Source: over 2 years ago

• Beginner in SQL and looking for an online course to move to the next step. Any recommendations?

  AI2sql is an easy-to find tool which will take your SQL coding to the next level. It will help you easily write highly complex and powerful queries within seconds powered by AI. http://ai2sql.softr.app. Source: over 2 years ago