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TA is being scanlated currently on Mangadex. To download multiple chapters at once (to put into the volumes you want), use Hakuneko. Source: 6 months ago
I recommend HakuNeko. You can use it to download chapters for reading when internet is out. Source: about 1 year ago
I haven't tried this though, hakuneko. Source: over 1 year ago
- I got the HaruNeko app https://hakuneko.download/ (it's free for pc, mac and linux). In this app you can choose from a bunch of manga sites if you click in the bookmarks options. I usually use the "mangasee" site. Source: over 1 year ago
Hey is the manga downloader HakuNeko safe ? It has a lot of downlaod on github but when I tried to download it chrome warned me about it, it seems to be legit but still Haku Neko : https://hakuneko.download/. Source: over 1 year 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 / 8 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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