For a hands on introduction to Causality, I would recommend “Causal Inference in Python” by M. Facure https://amzn.to/46byWnl Well written and to the point.

I also have a series of blog posts on the topic: https://github.com/DataForScience/Causality where I work through Pearls Primer: https://amzn.to/3gsFlkO

For a more hands on approach to Causality, I would recommend

“Causal Inference in Python” by M. Facure https://amzn.to/46byWnl

Well written and to the point.

I also have a series of blog posts on the topic: https://github.com/DataForScience/Causality where I work through Pearls Primer: https://amzn.to/3gsFlkO

For those of you interest in learning more about causality, I just announced on my mailing list (https://data4sci.com/latest) that I'm working on a series of blog posts covering the contents of Judea Pearls's Causal Inference in Statistics - A Primer (https://amzn.to/39G5lWl, affiliate link) using Python.