Overview

This Python coding activity aims to provide users with background information and context on mobile air quality monitoring and environmental sensing, as well as teach coding skills and analysis techniques, including:

• Using popular Python libraries such as Pandas to interact with data;
• Creating time series graphs of measurements of environmental phenomena;
• Creating python-based web maps using the Python Leaflet.js library.

The handbook is composed of three parts:

• Two facilitator guides: meant to support an individual or teaching team in combining these resources to deliver during a class or workshop. One version for a Python notebook that can be run in an environment of your choice, another to aid the facilitation of a Google Colab activity.
• Workshop slides: an educational presentation on the background of environmental sensing, mobile air quality monitoring, and the CityScanner platform.