Based on our record, Python seems to be a lot more popular than Typst. While we know about 282 links to Python, we've tracked only 19 mentions of Typst. 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.
Typst[1] is another tool which implements document generation from the ground up. Zerodha had a great article [2] how they migrated from LaTeX based pdf generation to Typst, which ended up saving time and compute. [1]: https://typst.app/. - Source: Hacker News / 13 days ago
I have been using Typst[1] for taking notes on machine learning. It's fast (updates are instantaneous). The syntax is almost like Markdown. I tried to learn LaTeX but Typst seems to have an easier learning curve. [1]: https://typst.app/. - Source: Hacker News / 4 months ago
I'd personally consider using Typst (https://typst.app) instead of LaTeX. It has a much more readable syntax and you don't need as much snippets to write it. You can use in on their website or run the compiler locally just like LaTeX. - Source: Hacker News / 4 months ago
For writing math notes (especially in vim), I switch to using Typst (https://typst.app). Here's a few points: - The syntax is a lot lighter and easier to type fast. I was up and running in half hour after starting to use it. Once in a while I can look up some symbol name in the docs but that's about it. - Empty document is a valid document. No preambles, no includes etc, it's all optional and the defaults are... - Source: Hacker News / 5 months ago
Have you seen typst? I have moved over from LaTex to Typst and most if not all your use cases are covered. https://typst.app/. - Source: Hacker News / 5 months ago
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 / 9 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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