How to Install and Uninstall bcolz-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 02,2024

1. Install "bcolz-doc" package

This guide covers the steps necessary to install bcolz-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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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

Please follow the instructions below to uninstall bcolz-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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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 20.10 (Groovy Gorilla)

Package: bcolz-doc
Architecture: all
Version: 1.2.1+ds2-7
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+ds2-7_all.deb
Size: 48868
MD5sum: 61002c2a353082b8bd2db70e23075449
SHA1: 2598c9a9c82708a97d654a2a43f95d3ee1f38c6b
SHA256: 63d68dd8857ec26d588d56664df9fe057245653b4945330f201b1f89ac883965
SHA512: 7d23fa6d1388871090a6d121adf95fb3b10a494d879fa6d955b5fbf25a491065233af26ec855b0ebc331e28dcfe04347c1ea8c1838dade2970f94b49374a0795
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