Pocket VS Python
Compare Pocket VS Python and see what are their differences
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Pocket PythonBased on our record, Python should be more popular than Pocket. 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.
I find Pocket useful for: https://getpocket.com/en/. Source: 12 months ago
I use the Pocket extension for Chrome. You can tag every one to organize them. They have import options and some paid features that could help you sort of dead links and other things. https://getpocket.com/en/. Source: about 1 year ago
I do use Pocket for this: https://getpocket.com/en/ works great. I‘m not sure about the notes though, have never really tried that. It supports tags, that how I usually categorize my links. Source: about 1 year ago
There is an app called Pocket, also a Chrome extension which allows you to saves links and you can tag them to organise. If you use this on mobile, use the ‘share via’ on LinkedIn and you save to Pocket. That’s how I do it! Hope that helps. Source: about 1 year ago
Leverage RSS feeds, and/or pocket, and/or many other credible alternatives to keep things organized and save time. - Source: dev.to / over 1 year 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 / 12 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
Raindrop.io - All your articles, photos, video & content from web & apps in one place.
Rust - A safe, concurrent, practical language
Pinboard - Pinboard is a personal archive for things you find online and don't want to forget.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Diigo - Diigo is a powerful research tool and a knowledge-sharing community
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
