These two are my favorite balance of fundamentals and getting to purposeful application as quickly as possible (the first link is definitely not enough, but combined with the second she should be comfortable with the syntax and able to get basic things working):
https://www.kaggle.com/learn/intro-to-programming
https://www.kaggle.com/learn/python

This one takes it’s time with fundamentals and includes some projects to put them in context of building something. It’s presented on Google Colab and Jupyter notebooks: https://allendowney.github.io/ThinkPython/

Working with GIS data means cleaning data. This one covers that and a lot of common analysis tools and techniques. But it assumes a bit of programming knowledge (Good to follow up after one of the options above: https://wesmckinney.com/book/

It’s an original work in the style of XKCD

The only mistake I see is attributing the work to XKCD.

This is original work. The source is in the post.

Randall Monroe has provided me with weekly nibbles of entertainment for nearly 2 decades. But this was inspired by his style, not created by him.