Based on our record, Python should be more popular than Haxe. It has been mentiond 280 times since March 2021. 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.
This remineds me of Haxe[1]. I like Wax better because of the Common-Lisp-like syntax. [1]: https://haxe.org. - Source: Hacker News / 7 days ago
I thought this was a three.js demo but it's actually built with a language called haxe [1]. I've never heard of this language before and looks really cool. Makes me want to play with it! [1] https://haxe.org/. - Source: Hacker News / about 1 month ago
The Haxe programming language (https://haxe.org/). It's insane how unpopular this is compared to its value. "Haxe can build cross-platform applications targeting JavaScript, C++, C#, Java, JVM, Python, Lua, PHP, Flash, and allows access to each platform's native capabilities. Haxe has its own VMs (HashLink and NekoVM) but can also run in interpreted mode." It's mostly popular in game dev circles, and is used by:... - Source: Hacker News / 5 months ago
For those interested in cross platform game development, don't forget https://haxe.org/! The usefulness / popularity ratio is very high on this one :). - Source: Hacker News / 7 months ago
I really enjoyed programming in AS3, and https://haxe.org/ was really helpful at the time to make development easier. Source: 12 months 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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