Based on our record, Python should be more popular than Blender. It has been mentiond 281 times since March 2021. 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.
Update, I just downloaded 3.6 LTS from the blender.org official site, they are asking for donations. This time, the URL stayed. Source: 11 months ago
Hold up. When I go to blender.org then add the /thanks to the URL, it goes to that page, then immediately goes to a 404 right after. Interesting.... Source: 11 months ago
This is oddly strange its the usual go to for me to download blender updates (i google blender and click the usual blender.org strange..). Source: 11 months ago
If this is any other site than blender.org, you're at the wrong place. Source: 11 months ago
Can't say much, here. But I use this to deliver what my clients need. Before you ask why I can't tell - anonymity through obscurity. Source: 11 months 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 / 8 days 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 / 3 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 / 4 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 / 5 months ago
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework. - Source: dev.to / 5 months ago
Unity - The multiplatform game creation tools for everyone.
Rust - A safe, concurrent, practical language
Cinema 4D - Cinema 4D is a 3D modeling, animation, motion graphics and rendering application.
Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
JavaScript - Lightweight, interpreted, object-oriented language with first-class functions