Usually the hardest part of a learning pipeline is data gather and cleaning; once it is in a suitable format (such that it is easy to create a structured CSV file), the training part is probably the easiest part: just a few lines of Python code.
I commonly read that Apple products "just work", but it seems like a lot of effort is required in order to get up to date software on MacOS, which in linux distributions is completely effortless as it comes by default (see also the Bash situation).
Can anyone recommend any good starting points?