Michaelanjello

The way to manage this is to make your code more modular, to factor out subcomponents, to share and have them critiqued separately. For example, in machine learning frameworks, autograd is a separate package for automatic differentiation. I actively post questions and answers for subcomponents on Stack Overflow.

There are still idiots on Github using Python 2 for new projects. These are usually academics who don't actually share any love for technology. Their code will never be used by anyone.

You should be getting ideas from actual open source projects that actually exist, not from imaginary/fake ones. There are numerous serving packages that actually exist and offer ideas.

You will get a lot more ideas from other software that actually do exist. I can easily write a fake blog post with fake thoughts giving you fake ideas, but that's not what you want; you deserve ideas that work.

System76 does sell laptops with the 1080.

Uber's software doesn't exist in the public realm, and so there is nothing to learn from it. It is imaginary fluff. I have posted a list of the ones that do actually exist in another comment. And you should've at least got a 1080.

Are you serious? There is no code for us, so there is no tool! The article is as good as fake news.