Vantage Fit is a corporate wellness app designed from the ground up for enterprises. It focuses on preventive health & fitness by promoting healthier lifestyles and habits. With a built-in framework for corporate challenges, the app provides an edge over other fitness apps for enterprises.
Vantage Fit tracks physical activities such as step count, maps your outdoor workouts using GPS data and maps your runs, outdoor jogs and even evening walks.
With concise yet impactful features such as Mood Tracker, Heart Rate Monitor, Seven Minute Workouts, Meal and Gym Diaries, Vantage Fit aims to raise awareness towards overall health & fitness not just physical health.
You can also keep a track of your health profile and fitness score in the My Health section, gain insights regarding weight management, leverage the assistive calorie tracker to monitor your nutrition intake and calorie expenditure via activities.
Vantage Fit also provides challenges and contests for users to participate in and engage with real-time leaderboards.
With a custom-built Heart Rate monitor, Vantage Fit leverages the power of computational image processing to detect and measure your heart rate without the need for any smartwatch or fitness bands.
But Vantage Fit does support Fitness band integration of popular fitness trackers for counting your steps.
Other features include exciting badges for every activity milestone you complete, BMI Calculator and Calorie tracker.
No features have been listed yet.
Based on our record, Python seems to be more popular. It has been mentiond 282 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.
Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 12 days 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 / about 1 month 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 / 4 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 / 5 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 / 6 months ago
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