From the control room to the code editor — a 40-year veteran's guide to building industrial monitoring with Python and Plotly. A Little Background I spent 40 years inside cement plant control rooms — watching gauges, listening to kilns, reading temperatures that most engineers only see on paper. When I retired, I thought I was done with data. Then I discovered Python. What started as curiosity became an obsession: could I replicate — and improve — the kind of real-time monitoring I did manually for decades, using nothing but a laptop and open-source tools? The answer is yes. And in this article, I'm going to show you exactly how I built a live Python dashboard that monitors critical cement plant parameters — kiln temperature, fan RPM, raw mill feed rate, and more — using Plotly Dash, Pandas, and simulated SCADA data streams. Whether you work in heavy industry or you're a developer curious about industrial IoT, this is a practical, production-inspired tutorial.…