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author | Robby Workman <rworkman@slackbuilds.org> | 2011-03-16 01:13:49 -0500 |
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committer | Robby Workman <rworkman@slackbuilds.org> | 2011-03-20 12:33:01 -0500 |
commit | 7a1b4848a3d34a263544fadf08178c91c12fbad0 (patch) | |
tree | 8987d0fc908e371dfa87445425f59c7514075b37 /libraries/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 'libraries/pytables/README')
-rw-r--r-- | libraries/pytables/README | 19 |
1 files changed, 0 insertions, 19 deletions
diff --git a/libraries/pytables/README b/libraries/pytables/README deleted file mode 100644 index 22120c6a4a..0000000000 --- a/libraries/pytables/README +++ /dev/null @@ -1,19 +0,0 @@ -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. |