Yes and no. No question, it makes builds, requirements, and environments more complicated. But it greatly simplifies the process for API end users (the data scientist or analytics engineer). These ppl tend to have deep expertise in how to use/interpret the ML models, or in data general data transformations/modeling, but not in low level computer science. I am in the this camp - but I am learning more about the lower level CS. Outside of the Python ecosystem, the only thing that comes close, wrt data science tooling, is Scala. And then you have to deal with Java bullshit 😂 If Golang, or some other “simple” lower level language (Mojo??) can step up to the plate in data tooling, then I’m sure the industry will follow.