The recent postings "about pytables interface to sqlite" started me thinking about where PyTables was headed. Or perhaps, as PyTables is Francesc's baby, where he wants it to head. I don't have any specific point to make here, just wondering things such as:
- Are there opportunities to create "value added" packages giving higher level functionality? For example I've written disk-based sort, merge and split routines for tables too big to fit in memory, iterators that return chunks of tables as numpy recarrays, iterators with hooks for progress bars, etc. I don't recalls seeing any community discussions about contributing back to the PyTables ecosystem. - Can the audience for PyTables be increased by a cookbook with recipes combining PyTables with numpy? Speaking for myself, it took many months for me to realise my "for row in tbl" code could be parallelised with the idiom "arr = tbl.read[100:1000]". In other words, to see PyTables as a super-flexible persistence layer for numpy. Especially as a newbie, I would have a benefitted from more examples to get me thinking. - And then there's the more heretical question of whether to use h5py instead of PyTables. I don't know enough about h5py to compare the two. Right now, PyTables appears to be in a period of maturity and stability (which is good) while h5py doesn't yet support LZO compression, which I need for reading historical data. So I stick with PyTables, and occasionally check the h5py web site to see if there has been a new release. Anyway, that's enough from me. I don't have any concrete answers, but would be pleased if others posted their thoughts or reactions. Stephen ------------------------------------------------------------------------------ The NEW KODAK i700 Series Scanners deliver under ANY circumstances! Your production scanning environment may not be a perfect world - but thanks to Kodak, there's a perfect scanner to get the job done! With the NEW KODAK i700 Series Scanner you'll get full speed at 300 dpi even with all image processing features enabled. http://p.sf.net/sfu/kodak-com _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
