How to Install and Uninstall python3-q-text-as-data Package on Ubuntu 21.10 (Impish Indri)

Last updated: September 20,2024

1. Install "python3-q-text-as-data" package

Please follow the guidelines below to install python3-q-text-as-data on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-q-text-as-data
            
                    
    
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2. Uninstall "python3-q-text-as-data" package

Here is a brief guide to show you how to uninstall python3-q-text-as-data on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-q-text-as-data
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-q-text-as-data package on Ubuntu 21.10 (Impish Indri)

Package: python3-q-text-as-data
Architecture: all
Version: 1.7.4+2018.12.21+git+28f776ed46-2
Priority: optional
Section: universe/python
Source: q-text-as-data
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian OpenStack
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 105
Provides: q-text-as-data
Depends: python3-six, sqlite3, python3:any
Filename: pool/universe/q/q-text-as-data/python3-q-text-as-data_1.7.4+2018.12.21+git+28f776ed46-2_all.deb
Size: 26380
MD5sum: 7af03173730cdc0dc1bdb09a1e1e3d7b
SHA1: 6e353e9eeb605d27ef5ef7167709a735d18220a4
SHA256: a9af37bb45dd3da2808ba30c76da13238e2fd8c78bbac37a7e135ebbc08e194b
SHA512: e192a422edba8b66cc2b25ec8a8e2894594656760503cdd9c3be2d0a809e866d412c5bc05897141ff30ea744601ae44416f8b7189c37c6c57841ceb2b0e239af
Homepage: http://harelba.github.io/q/
Description-en: performs SQL-like statements on tabular text data - Python 3.x
Q is a command line tool that allows direct execution of SQL-like queries on
CSVs/TSVs (and any other tabular text files). Q treats ordinary files as
database tables, and supports all SQL constructs, such as WHERE, GROUP BY,
JOINs etc. It supports automatic column name and column type detection, and
provides full support for multiple encodings.
.
This package provides the Python 3 version.
Description-md5: 43ca9ce0fc68a891b4c965cd02330a42