Based on our record, Python seems to be a lot more popular than Hack. While we know about 280 links to Python, we've tracked only 17 mentions of Hack. 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.
PHP results: Is Hack still popular with PHP people? I was stupid enough to write some scientific code in PHP once so know how slow it can be. But if your going to do try write performant code in PHP use the HHVM interpreter. It's much faster. Hack (https://hacklang.org/) uses that under the hood by default. - Source: Hacker News / 4 months ago
Meta: hacklang.org has the details there. It forked off of PHP ~5 years ago, and is no longer backwards compatible. I believe this is also what Slack uses. Source: 11 months ago
Facebook literally created Hack because PHP wasn't meeting their needs at the time. Source: about 1 year ago
Well, yeah, since they generally don't kill popular projects. Hell hack is still getting updates even though no one ever gave a shit about it. Meanwhile Flutter can be cancelled tomorrow because another division made Clutter and they have more "political" pull at google... Source: over 1 year ago
They actually create/use Hack. Haxe is something else. Source: over 1 year 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 / 2 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 / 4 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 / 4 months ago
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 / 4 months ago
When you have finished your thirty days, I recommend to go to the official site and read the offical python tutorial at python.org : https://docs.python.org/3/tutorial/index.html . Source: 5 months ago
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