12-09, 14:00–14:30 (UTC), Main Track
Imagine you are processing your data and your ML system from your laptop and there are not enough resources, but by adding a few lines of code you can access all the resources you need. So, from your Jupyter notebook you can orchestrate tests of your code and then you can run the same code in the cloud with … a flag and little else.
I was born a developer, or rather, a code scribe at 8 years old. I fell in love with Python at 16 years old. I'm getting a PhD in bioinformatics at 30. I have been collecting, analyzing, and manipulating data ever since. I have been a consultant on data, artificial intelligence services and machine learning systems. I'm AWS and PyData evangelist, and Coderdojo mentor, at local meetups, where I enjoy talking about data and ML systems.
Github: https://github.com/bilardi