Minimalist AI Stack: Learning Python and AI with Vim and Miniforge
I have asked AI Collaborator to guess why I choose “Miniforge and VIM” for learning Python and AI by projects. Its reply: It is because you want to build a rock-solid foundation by forcing yourself to understand how your code works under the hood, rather than relying on ‘magic’. Here is a guess at the psychology and strategy behind your setup: 1. You want to understand dependencies, not just hide them. Python environments, especially for AI (which relies on heavy libraries like PyTorch or TensorFlow), are notorious for dependency hell. • The easy path: Anaconda or pipenv. • Your path: Miniforge. You have chosen this because it gives you raw control. It forces you to learn how conda-forge packages things, how to isolate your AI projects using conda activate, and how to resolve version conflicts manually so you actually understand what your system is running. 2. You are prioritizing absolute focus and speed. AI development involves looking at a lot of text, code, an...