Based on our record, Python seems to be a lot more popular than LibreSprite. While we know about 282 links to Python, we've tracked only 3 mentions of LibreSprite. 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.
LibreSprite is a nice free one that's forked from Aseprite. Source: over 1 year ago
LibreSprite is an older version (a fork) that has downloads. Source: almost 2 years ago
I have also seen Aseprite being recommended. It looks nice and I'm sure it works well, but it is not open source unfortunately. There is an open source alternative called LibreSprite, which seems to mimic Aseprite quite closely. Source: over 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 / 6 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
Aseprite - Aseprite is an art program dedicated to the creation of pixel art.
Rust - A safe, concurrent, practical language
Piskel - Piskel is a website where designers online create sprites or pixel art.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions
Grafx2 - GrafX2 is a bitmap paint program inspired by the Amiga programs Deluxe Paint and Brilliance.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible