Based on our record, Python seems to be a lot more popular than Memora Health. While we know about 281 links to Python, we've tracked only 2 mentions of Memora Health. 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.
Memora Health (https://memorahealth.com) | San Francisco, CA | REMOTE OK | Senior Engineer, Senior Infrastructure Engineer, Senior Frontend Engineer, Data Scientist Memora Health (YC W18) is building an operating system for care delivery that implements intelligent workflows to streamline care delivery and revolutionizes the patient experience outside the care setting. We offer an end-to-end platform that unifies... - Source: Hacker News / almost 3 years ago
Our team is excited to announce a $10.5M financing led by Andreessen Horowitz! Everyone has a story about the challenges of our existing healthcare system. It is abundantly clear that patients and clinicians deserve better tools in healthcare – our team is building the operating system to empower them. You can learn more about our story here: https://memorahealth.com. - Source: Hacker News / about 3 years 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 / 5 days 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 / 5 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 / 5 months ago
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