How to Install and Uninstall python-tables-data Package on Kali Linux

Last updated: April 28,2024

1. Install "python-tables-data" package

Learn how to install python-tables-data on Kali Linux


    
        
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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

In this section, we are going to explain the necessary steps to uninstall python-tables-data on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python-tables-data
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-tables-data package on Kali Linux

Package: python-tables-data
Source: pytables
Version: 3.7.0-10
Installed-Size: 1046
Maintainer: Debian Science Maintainers
Architecture: all
Size: 47612
SHA256: 14aa336f3e5b7a4326c94fd1cfececc12a18252ebbe32bd8f794165e746a108f
SHA1: e4397f67bf59af71e23b3cdd996291d280eb7f70
MD5sum: 94def627c77ac280dd1daa63cf21669e
Description: Hierarchical database for Python3 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 data files used for unit testing.
Description-md5:
Multi-Arch: foreign
Homepage: https://www.pytables.org
Section: python
Priority: optional
Filename: pool/main/p/pytables/python-tables-data_3.7.0-10_all.deb