Based on our record, Python seems to be a lot more popular than Phalcon. While we know about 280 links to Python, we've tracked only 7 mentions of Phalcon. 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.
Phalcon is open-source with 10.7k stars and 2k+ forks on GitHub. It is a full-stack framework for PHP that is characterized by high performance and low resource consumption. It is written or implemented as a C-extension or in C, which is integrated into PHP to improve performance. It has a user-friendly interface that simplifies PHP development and enhances the developer experience. - Source: dev.to / 3 months ago
There's also one more player in the scope, but, I don't know how much jobs can You find with. It is called Phalcon framework. It is delivered as C extension and really, in terms of performance, no other thing can compare with, as it is loaded together with PHP it self. Once installed, You just use it. There are few similar like Phalcon, but Phalcon is already well known and has its community and support. -... Source: 12 months ago
People should give Phalcon a try. - https://phalcon.io/en-us. Source: about 1 year ago
Not the lightest, but one of (if not) the fastest. - https://phalcon.io/en-us. Source: about 1 year ago
How about reconsider additional option 5 ? Something like this -> https://phalcon.io/en-us. 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 / 3 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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