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

Last updated: May 05,2024

1. Install "python-tables-doc" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This tutorial shows how to uninstall python-tables-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python-tables-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

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

Package: python-tables-doc
Source: pytables
Version: 3.7.0-10
Installed-Size: 9059
Maintainer: Debian Science Maintainers
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2), sphinx-rtd-theme-common (>= 2.0.0~rc3+dfsg), libjs-mathjax, libjs-jquery-cookie
Suggests: xpdf | pdf-viewer, www-browser
Size: 2580924
SHA256: 376c4046dfae4db0edd791039db18801873e28ee39c6efc531e26b514666d81c
SHA1: 1a08bc92339c809935a29b3afe48d13e439c501a
MD5sum: bc89b5a5776871c4372bf019c3c88b8b
Description: Hierarchical database for Python3 based on HDF5 (documentation)
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 the manual in HTML formats.
Description-md5:
Homepage: https://www.pytables.org
Tag: devel::doc, made-of::html, made-of::pdf, role::documentation,
works-with::db
Section: doc
Priority: optional
Filename: pool/main/p/pytables/python-tables-doc_3.7.0-10_all.deb