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Based on our record, Python should be more popular than Clockify. 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 / 11 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
Check out https://clockify.me/ It's my go-to for hourly "clock your hours" work. - Source: Hacker News / 3 months ago
Clockify - Time tracker and timesheet app that lets you track work hours across projects. Unlimited users, free forever. - Source: dev.to / 5 months ago
Clockify.me to timetrack my activities. Source: 12 months ago
See if this helps, I have a few contract freelancers that use this for reporting their hours back to me https://clockify.me/. Source: 12 months ago
Finally, if you don't pay attention to the "billable" part and such, Clockify is a decent time tracking app, this one you can create the task, tag it, add description, etc. It also integrated with a ton of productivity apps as well. Source: 12 months ago
Rust - A safe, concurrent, practical language
Toggl - Toggl is an online time tracking tool. It features 1-click time tracking and helps you see where your time goes. Free and paid versions are available.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Harvest - Simple time tracking, fast online invoicing, and powerful reporting software. Simplify employee timesheets and billing. Get started for free.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Time Doctor - Time Tracking and Time Management Software that is accurate and helps you to get a lot more done each day.