Border City Data: Working with Climate Data

The Canadian government publishes climate data from thousands of individual weather stations going back decades. Unfortunately, it can be challenging to access for certain scenarios – particularly when you’re interested in a geography wider than a single station.

In this session Doug Sartori demonstrates a Python solution to access climate data in bulk and store it in a database table for analysis or visualization. Everyone is welcome and there is no cost to attend this hybrid event.

Seating for the in-person portion of this session is limited, so reserve your spot now!

Doors will open at 5:45

To secure access to the virtual event, click here.