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I've been thinking about things, and this actually dovetails onto Chris' comments as well, I think. The way I see it, in order to get to data from a dataset, here are the abstract levels yt goes through:
What we're struggling with is where to put level #3 in our syntax. As we currently have it, it's done at the finest level with the generalized dict access for a specific thing (dd["x"], dd["ParticleMass"], dd["DerivedField"]), and yt works out the rest. I don't know if I myself like this idea, but we might want to consider putting the Data Type specification up higher. For example we could have Data Type-specific data containers (dd_fluid = pf.h.all_data("fluid")). Or, I like this even less, but it's conceivable that there could be a Data Type-specific load (pf_parts = load("DD1234", "particles").
I'm not making any suggestions here, I just want to see if anyone sees any benefit from changing the level at which Data Type is specified? Feel free to say "no, stupidest idea since lawn darts." I'm not convinced it isn't.
-- Stephen Skory email@example.com http://stephenskory.com/ 510.621.3687 (google voice)