BUG: HDFStore fixes
- shape attribute on GenericStorer returns tuple correctly now (not string)
- data_orientation was potentitally returning non-ints in a tuple (fixed downstream), fixes GH #2671, though fixed downstream anyhow
- fix for contains with a non-natural name (GH #2694 )
- added ability to read generic PyTables flavor tables
- added PerformanceWarning to trigger on putting of non-endemic types (only on Storers)
- correctly store float32 dtypes (when not-mixed with float64, otherwise converted)
- can close  GH  #1985 as well

thanks jeff much appreciated as always
 Thanks jreback, float32s were on my wishlist :)

I would like to get started contributing especially in
the pytables integration area. Is there a roadmap or some type
of docs other than source for pandas.io.pytables?
 great 2 hear!

issue #2391 is an older list of todos

a couple of possibilities:

real dtype integration is coming on PR #2708 (eg even though 0.10.1 will actually read/write float32 columns u can't really do much with them w/o having them upcasted) - in any event I think HDFStore will accommodate this already

one big area is to test whether data columns really are slower; it thus may make sense to make data columns = True the default (but not necessarily index them)

are u familiar with R? I think could make export a bit easier (there is a section in docs, but maybe a dedicated option. / function)

have some more thoughts but maybe will start a new issue
 I updated #2391 with some ideas....feel free to suggest based on your use cases...
