Dr. Anna Schneider is the co-founder and CTO of WattTime, a tech nonprofit that cuts the carbon footprint of smart devices. She taught herself Python for data analysis and machine learning during her PhD in biophysics at UC Berkeley, then picked up Django to build WattTime's real-time energy data platform. Anna is passionate about climate solutions, making tech more inclusive, and trying new baking projects.
IoT with Django: From hackathon to production
It’s Friday night of hackathon weekend. The latest snazzy Internet-connected thingy is sitting on the table next to your beverage of choice, the device’s API docs are open in a browser tab, and your fingers are itching to write some Django. What’s the fastest way to get started? And next month when you come back to it, what will you want to upgrade?
This talk will walk through a common IoT use case, sending HTTP requests to turn on and off a device in response to some external data. I do this all the time at WattTime and I'll share some of the tricks I've picked up over the last couple years.
We’ll focus on two big differences from your typical blog or polls app: the data model abstractions that fit the problem, and the need to run frequent periodic tasks to hit the device’s API. I'll share a data model that's worked well for me across a bunch of IoT apps. And I'll show you two ways to run those periodic background tasks in Django: a hackathon-friendly version, and a production-friendly version using Celery. You'll walk away with a complete demo template that you can use in your own projects!