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+PyTables is a package for managing hierarchical datasets
+and designed to efficiently and easily cope with extremely
+large amounts of data. It optimizes memory and disk resources
+so that data takes much less space than other solutions such
+as relational or object oriented databases.
+ 
+PyTables has been designed to fulfill the next requirements:
+ 1. Allow to structure your data in a hierarchical way.
+ 2. Easy to use. It implements the NaturalNaming scheme for
+    allowing convenient access to the data.
+ 3. All the cells in datasets can be multidimensional entities.
+ 4. Most of the I/O operations speed should be only limited by
+    the underlying I/O subsystem.
+ 5. Enable the end user to save large datasets in a efficient
+    way, i.e. each single byte of data on disk has to be represented
+    by one byte plus a small fraction when loaded in memory.
+
+It depends on "numpy" and "hdf5" packages, both of which are
+available from SlackBuilds.org