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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 /libraries/pytables/README
parent987d45e99a299c3b24418b2976e8ec9d5f3bf404 (diff)
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.