PyTables 1.2 available

This version sports a completely new in-memory tree implementation
based around a *node cache system*. This system loads nodes only when
needed and unloads them when they are rarely used. The new feature
allows the opening and creation of HDF5 files with large hierarchies
very quickly and with a low memory consumption (the object tree is no
longer completely loaded in-memory), while retaining all the powerful
browsing capabilities of the previous implementation of the object
tree.

You can read more about the dings and bells of the new cache system in:

http://www.carabos.com/downloads/pytables/NewObjectTreeCache.pdf

Also, Jeff Whitaker has kindly contributed a new module called
tables.NetCDF. It is designed to be used as a drop-in replacement for
Scientific.IO.NetCDF, with only minor actions to existing code. Also, if
you have the Scientific.IO.NetCDF module installed, it allows to do
conversions between HDF5 <--> NetCDF3 formats.

If you want more info about this release, please check out the more
comprehensive announcement message available in:

http://www.carabos.com/downloads/pytables/ANNOUNCE-1.2.html