Day 11 – Python Dictionaries for BACnet Engineers | Understanding Structured Data (Theory Day) скачать в хорошем качестве

Day 11 – Python Dictionaries for BACnet Engineers | Understanding Structured Data (Theory Day)

Welcome to Day 11 of the BACnet with Python for Building Automation Engineers course. Today is a theory day. No BACnet coding. No AI shortcuts. Just fundamentals. Because now that our RPM app is reading multiple devices… we need to understand the data structures behind it. Today we focus on: • what a dictionary is • key–value pairs • creating dictionaries • retrieving and updating values • checking for keys with in • using get() safely • avoiding KeyError • deleting entries Because BACnet data is not just numbers. It’s structured. Device → object → property → value. That structure maps naturally to dictionaries. When BAC0 and BACpypes3 return RPM results… they return nested dictionaries and lists. Not magic. Structured data. If you don’t understand dictionaries… you don’t really understand what your script is processing. We talked about: • why dictionaries are better than lists for point lookups • constant-time access by key • representing BACnet objects as key–value pairs • handling missing metadata safely • designing cleaner data models for future logging This is the shift from: “printing values” to “organizing data.” And real engineering lives in that second category. Tomorrow we continue building. But today was about understanding the structure that makes everything scalable. --- Full course + repo: https://github.com/bbartling/py-bacne... Lesson notes: If you’re an HVAC tech or controls engineer who wants to stop treating Python libraries like magic and actually understand how your BACnet data is structured, this is the foundation. More vibe coding next. #vibecoding #bacnet #python #hvac #buildingautomation #controlsengineering #smartbuildings #automation #iot #bac0 #engineering #programming #opensource #hvaccontrols #hvacoptimization