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| author | Robby Workman <rworkman@slackbuilds.org> | 2011-03-16 01:13:49 -0500 |
|---|---|---|
| committer | Robby Workman <rworkman@slackbuilds.org> | 2011-03-20 12:33:01 -0500 |
| commit | 7a1b4848a3d34a263544fadf08178c91c12fbad0 (patch) | |
| tree | 8987d0fc908e371dfa87445425f59c7514075b37 /python/pytables/README | |
| parent | 987d45e99a299c3b24418b2976e8ec9d5f3bf404 (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>
Diffstat (limited to 'python/pytables/README')
| -rw-r--r-- | python/pytables/README | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/python/pytables/README b/python/pytables/README new file mode 100644 index 0000000000000..22120c6a4a693 --- /dev/null +++ b/python/pytables/README @@ -0,0 +1,19 @@ +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. |