软件包:python3-tables(3.9.2-2)
Hierarchical database for Python3 based on HDF5
PyTables is a package for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data.
It is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively save and retrieve very large amounts of data. One important feature of PyTables is that it optimizes memory and disk resources so that they take much less space (between a factor 3 to 5, and more if the data is compressible) than other solutions, like for example, relational or object oriented databases.
- Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy objects.
其他与 python3-tables 有关的软件包
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- dep: python-tables-data (= 3.9.2-2)
- Hierarchical database for Python3 based on HDF5 (test data)
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-cpuinfo
- Python module for getting CPU info (Python 3)
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- dep: python3-numexpr (>= 2.8.7)
- Fast numerical array expression evaluator for Python 3 and NumPy
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- dep: python3-numpy
- Fast array facility to the Python language (Python 3)
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- dep: python3-packaging
- core utilities for python3 packages
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- dep: python3-tables-lib (<< 3.9.2-2.1~)
- Hierarchical database for Python3 based on HDF5 (extension)
- dep: python3-tables-lib (>= 3.9.2-2)
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- sug: python-tables-doc
- Hierarchical database for Python3 based on HDF5 (documentation)
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- sug: python3-netcdf4
- Python 3 interface to the netCDF4 (network Common Data Form) library
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- sug: vitables
- graphical tool to browse and edit PyTables and HDF5 files