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There are some image converters that are known to transform between formats, in this case, a PNG image to SVG. There are tools that can do this, you can find an online tool here. - Source: dev.to / 3 months ago
Then open png to SVG converter website. Here: https://convertio.co/png-svg/. Source: about 1 year ago
Even if it's not currently an SVG, I often use this site to convert images and then import them. Source: over 1 year ago
A silhouette or some simple line art? Convert it to an svg with an online tool like https://convertio.co/png-svg/ then that svg can be imported into a program like tinkercad or fusion360 and extruded to become a 3d object. Source: over 1 year ago
This is what I use. I would recommend separating your layers if you’re looking to do different colors. I think this would change the color to all black but since they’re vector and you’re gonna be testing colors anyways I think it should be fine. Source: almost 2 years 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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