Based on our record, Python seems to be a lot more popular than ScaleGrid. While we know about 282 links to Python, we've tracked only 2 mentions of ScaleGrid. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It's overkill (and sqlite will be more than fine for your needs) - but check out a Postgres instance on scalegrid.io. Source: about 1 year ago
Hackathon hosted by Meteor Software is now in full swing featuring teams from around the globe making amazing apps with Meteor. Don't miss the announcements of winners on Friday and check out our additional Hackathon sponsor Scalegrid. - Source: dev.to / over 2 years ago
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 / 10 days ago
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
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
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
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
Toad Edge - Windows GUI for MySQL. SQL Syntax Check. Freeware (Basic Features) & Payware (Extended Features).
Rust - A safe, concurrent, practical language
Apache Geode - Apache Geode is a distributed, in-memory database with strong data consistency, built to support transactional applications with low latency and high concurrency needs.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
SQL Developer - Oracle SQL Developer is a free, development environment that simplifies the management of Oracle Database in both traditional and Cloud deployments.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible