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authorRobby Workman <rworkman@slackbuilds.org>2011-03-16 01:13:49 -0500
committerRobby Workman <rworkman@slackbuilds.org>2011-03-20 12:33:01 -0500
commit7a1b4848a3d34a263544fadf08178c91c12fbad0 (patch)
tree8987d0fc908e371dfa87445425f59c7514075b37 /python/pytables/README
parent987d45e99a299c3b24418b2976e8ec9d5f3bf404 (diff)
downloadslackbuilds-7a1b4848a3d34a263544fadf08178c91c12fbad0.tar.gz
python/*: Moved a lot of Python stuff here
The criteria for whether something "belongs" in Development or Libraries or Python or ... is admittedly arbitrary. As a general rule, if it could be either Libraries or Python, it's Python. Otherwise, pick one and we'll go from there... Signed-off-by: Robby Workman <rworkman@slackbuilds.org>
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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.
+
+This requires numpy, numexpr, hdf5 and Cython.