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