Based on our record, Python seems to be a lot more popular than Laravel Spark. While we know about 282 links to Python, we've tracked only 22 mentions of Laravel Spark. 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.
Also PHP has Laravel Spark[0]. They basically bootstrapped a SaaS but for a price. Not sure if it's worth it, but it's from the guys who made Laravel, and everyone only has good things to say about that so... [0] https://spark.laravel.com. - Source: Hacker News / 4 months ago
I think Laravel Spark would fit in well with this list: https://spark.laravel.com/. - Source: Hacker News / 5 months ago
You can try with Laravel, Jetstream and Spark. Source: over 1 year ago
What you are looking for is usually called a 'saas boilerplate' or 'saas starter kit', in the Laravel world (my primary tech stack) we have Laravel Spark, you can probably find equivilants in most popular frameworks, just google 'node js saas starter kit' or 'ruby on rail saas starter kit' etc. Source: over 1 year ago
If you don't mind coding in php, check out Laravel Spark. https://spark.laravel.com/. - Source: Hacker News / over 1 year 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 / 4 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
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