Learn Python by Building Data Science Applications

Externalizing medians

This was quite a simple script so far, but you probably would want to update the JSON constantly—without needing to re-deploy the function every time. Let's do exactly that. We'll move the JSON to some public bucket (or not a public bucket—just make sure to use credentials with the rights to access it), and let a function download it upon request or upon deployment. We'll use the built-in urllib package, not requests, as we don't want to spend our 50 MB memory on one more dependency package. Delete the local JSON to keep the code slim, and add this code:

import json, urllib.requesturl = 'https://raw.githubusercontent.com/PacktPublishing/Python-Programming-Projects-Learn-Python-3.7-by-building-applications/master/Chapter18/data/model.json' ...