How to Install and Uninstall python-tables-data Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 03,2024

1. Install "python-tables-data" package

Here is a brief guide to show you how to install python-tables-data on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-tables-data
            
                    
    
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2. Uninstall "python-tables-data" package

This guide let you learn how to uninstall python-tables-data on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python-tables-data
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-tables-data package on Ubuntu 21.10 (Impish Indri)

Package: python-tables-data
Architecture: all
Version: 3.6.1-3
Multi-Arch: foreign
Priority: optional
Section: universe/python
Source: pytables
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 983
Filename: pool/universe/p/pytables/python-tables-data_3.6.1-3_all.deb
Size: 45824
MD5sum: 5cf75098307efa9e2aa2300bfe6eb6dd
SHA1: be245642a935ca01beac0e6bedd175351d6a00f6
SHA256: 91ad757d0405f4091dc80e71a66ddc4a302e7e9558d099fc213534aee41e6edf
SHA512: 48d0b16f81238a395adbf739892e32b61a9e0f38ad34bbbcc70882560891e17fe4c96afc918688211ee2a9fa6849a7151af8619231b17edb082e7f5035b7eb95
Homepage: https://www.pytables.org
Description-en: hierarchical database for Python based on HDF5 - test data
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.
.
This package includes daya fils used for unit testing.
Description-md5: 69fc4dd5a121a3c9ca135adc32adcaaf