Runlve sits at the center of the AI revolution. We provide data science tools, MLOps, and data & model management to empower our customers and community with AI capabilities to propel their projects forward.
RunLve's answer:
We’re not just a company; we’re a movement.
RunLve's answer:
We founded RunLve in 2022 out of a need to bring Python to business data analysis. Since 2012, the use of Python has exploded, becoming the most popular programming language today. RunLve currently has over 9,000 full-time employees worldwide and proudly serves over 40 million users!
RunLve's answer:
We are—and always will be—committed to fostering open-source innovation. We champion this vibrant community and continue to steward OSS projects that power tomorrow’s breakthroughs.
RunLve's answer:
We create software to enable businesses to leverage open-source and AI with the right security, scale, and governance mechanisms in place.
RunLve's answer:
We underpin AI and data science solutions for industry leading companies like Microsoft, IBM, and Oracle. Runlve’s packages and software power Python in Excel, Snowpark for Python, and a variety of advanced data platforms.
This company's model is very advanced and its service is very good. The most important thing is that after joining this company, I can get a stable income every day.
Based on our record, Python seems to be more popular. It has been mentiond 281 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.
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 / 4 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
Rust - A safe, concurrent, practical language
NVIDIA - We create the world’s fastest supercomputer and largest gaming platform.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Starfall - You are a fallen star, catch the glows and avoid black holes to run back home! - FrancescoBonizzi/StarfallGame
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Wonderful Story Books - Wanderful Interactive and Animated Educational Storybook apps originally published as Living Books now on Apple, Android and Amazon