Matrix.org Reviews

Python Reviews

Matrix.org mentions (583)

• Discord has been using ML to determine the gender and age of some of its users

  The beginning of enshitification of discord (while 100% expected) for some reason hits harder then any other service I've used throughout all these years. It has entirely replaced social media for me. It just felt more organic to me then anything else. So... Since I've heard about the ads coming to discord, and I have looked into alternatives. They do exist, in varying quality, and there are programs for some of... - Source: Hacker News / about 1 month ago

• Qilin: A Starter Project Template For Every Open Source Project

  GitHub Discussions can also be a great place for support as long as these are regularly monitored. Another option along the same lines is Discourse and the Open Source Matrix which is used by quite a few Open Source and community-based projects. - Source: dev.to / 3 months ago

• A man has been swatted 47 times for making a joke about Norm Macdonald

  Tangential: the article notes that Telegram is an “encrypted messaging app”. While this is technically true, it's worth keeping in mind that it's not end-to-end encrypted, so it's less secure in that regard than, say, Signal or even WhatsApp. Telegram does have opt-in end-to-end encrypted one-on-one chats, but those are very inconvenient to use. For a properly encrypted chat app, including group chats (opt-in),... - Source: Hacker News / 5 months ago

• Launching Default End-to-End Encryption on Messenger

  I'd love something like the Matrix [0] data model (JSON messages aggregated in an eventually-consistent chatroom CRDT) transmitted over something like simplex for metadata resistance. [0] https://matrix.org. - Source: Hacker News / 7 months ago

• Meta is pulling the plug on Messenger chats on Instagram

  Trillian mod here. There's this new thing called Beeper, works on matrix.org. It's not as the good old times, but I'm currently using whatsapp, FB messenger, discord, telegram, signal, imessage and a few more. It's not Cerulean experience, but it's... Slowly improving. Source: 7 months ago

Python mentions (282)

• Choosing Between AIOHTTP and Requests: A Python HTTP Libraries Comparison

  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 / 17 days ago

• Marking macOS component packages available based on hardware platform type

  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 2 months ago

• Python String Formatting: A Comprehensive Guide to F-strings

  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

• Don’t Block entire Python Thread: Use Asynchronous Programming Instead

  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 / 6 months ago

• A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices

  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