No build today. Just fundamentals. And honestly? It humbled me in the best way. Why Python? Every automation I've built so far has relied on no-code/low-code tools like n8n to handle the logic. But I kept hitting moments where I thought , if I knew Python, I could do this faster, cleaner, and with more control. So I decided to fix that. And then I hit Exception Handling and File Handling and that's where things got real. For someone coming from a workflow automation background where errors are just red nodes on a canvas, handling them in raw code requires a completely different mental model. I'm not through it yet. But I'm in it. Why This Matters for AI Automation Python is the backbone of serious AI integration work. Every API wrapper, every data transformation, every custom agent , it's Python underneath. Learning it properly now means the workflows I build from Day 10 onwards will be on a completely different level. No GitHub link today — just a honest study day documented publicly.…