Скачать или смотреть Day 1: Getting Setup with Python and First Assignment Walkthrough

Welcome to Day 1 of the Optimal-Start Math with Python Crash Course!

In this video, I walk through exactly how to install Python on Windows, set up your first project folder, run your first script, and complete Assignment 1 from the course. This lesson focuses on Delta T (temperature difference), rate of change, and degrees-per-minute calculations.

This is the foundation behind Model 0 (Linear EMA) used in nearly every BAS platform including Niagara, Alerton, Trane, Johnson, and more. Whether you're a BAS technician, controls programmer, or HVAC engineer, this video gives you a solid start.

What You’ll Learn

How to install Python 3.x on Windows
How to verify the installation using "python --version"
How to create and run .py files in VS Code
How to complete the Day 1 assignment
How to compute:
• DeltaT = Setpoint – Zone Temperature
• Rate = DeltaT / Minutes
• Warm-up time prediction using t = DeltaT / Rate

These concepts come directly from the hvac-optimal-start-math-playground repo (MIT open source).

Resources
https://github.com/bbartling/hvac-opt...
Python Download Page: https://www.python.org](https://www.python.org

Who This Video Helps

BAS technicians wanting to grow into analytics and optimization
HVAC engineers learning Python
Controls programmers practicing optimal-start math
Anyone interested in EMA, regression, and self-tuning HVAC models

Assignment Covered

1. Compute DeltaT
2. Compute warm-up rate (degrees per minute)
3. Predict warm-up time using the Model 0 formula

Like and subscribe if you want more walkthroughs for Day 2, Day 3, and the advanced models later in the course.

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