Point 1: I'm not sure if this question could be asked here, as it is may not seem to be about the "science" itself at the first glance! At the second glance though, I think in practice several newbies would face this question and it is a public benefit to have it for reference of people
Point 2: If the community think that this is an inappropriate place for this question, I would delete the whole question when I get an answer. Otherwise, I would edit the question and remove these two points and let the question be here for the reference of others.
So I'm new to the world of causal inference. I am learning some elementary concepts such as DAG, matching on covariates/propensity score, etc. The problem is that I don't know where to start in terms of available packages in python? I have found several packages DoWhy, EconML, Causalib, CausalML, CausalNex, etc... . The point is that I don't know where to start for these simple tasks such as building a DAG, or matching in python? Does anyone know about a "meta-reference" to know how to work thorough among these libraries?