How to Install and Uninstall bcolz-doc Package on Ubuntu 21.04 (Hirsute Hippo)

Last updated: November 22,2024

1. Install "bcolz-doc" package

Please follow the instructions below to install bcolz-doc on Ubuntu 21.04 (Hirsute Hippo)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                bcolz-doc
            
                    
    
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2. Uninstall "bcolz-doc" package

This guide covers the steps necessary to uninstall bcolz-doc on Ubuntu 21.04 (Hirsute Hippo):


    
        
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                sudo apt remove
            
                        
                bcolz-doc
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the bcolz-doc package on Ubuntu 21.04 (Hirsute Hippo)

Package: bcolz-doc
Architecture: all
Version: 1.2.1+ds2-7build2
Priority: optional
Section: universe/doc
Source: bcolz
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian QA Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 337
Depends: libjs-sphinxdoc (>= 2.4.3-5~)
Recommends: python3-bcolz
Filename: pool/universe/b/bcolz/bcolz-doc_1.2.1+ds2-7build2_all.deb
Size: 48772
MD5sum: 0e7e103bc59ae5504723b7a0a5c8a2f5
SHA1: 558e0367299389f79e15804e1320fd01031662f3
SHA256: d4800417b85cb24c3ad0f8823778991c302b1a934f50482223167ba2765fd642
SHA512: ef78c3611f95f0a53fee0fed5be46b61d4778557a1fe011c086fbf05e0abaa58a56e06a93f050c6704134c4f8b9873cf7e5699083dd722a5d6e9d26de2122e9f
Homepage: https://github.com/Blosc/bcolz
Description-en: high performant compressed data container (documentation)
bcolz provides columnar, chunked data containers that can be compressed
in-memory and on-disk. Column storage allows for efficiently querying
tables, as well as for cheap column addition and removal. It is based on
NumPy, and uses it as the standard data container to communicate with
bcolz objects, but it also comes with support for import/export facilities
to/from HDF5/PyTables tables and Pandas dataframes.
.
This package contains the documentation.
Description-md5: c4afcc2c02b0857f7bb9b1af2f49fbc1