mirror of
https://github.com/Ponce/slackbuilds
synced 2024-11-14 21:56:41 +01:00
17 lines
863 B
Text
17 lines
863 B
Text
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.
|