How to Install and Uninstall python3-raccoon Package on Ubuntu 21.10 (Impish Indri)

Last updated: February 02,2025

1. Install "python3-raccoon" package

Please follow the step by step instructions below to install python3-raccoon on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-raccoon
            
                    
    
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2. Uninstall "python3-raccoon" package

Learn how to uninstall python3-raccoon on Ubuntu 21.10 (Impish Indri):


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

Package: python3-raccoon
Architecture: all
Version: 3.0.0-1
Priority: optional
Section: universe/python
Source: python-raccoon
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sebastien Delafond
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 117
Depends: python3-tabulate, python3:any, python3-pkg-resources
Filename: pool/universe/p/python-raccoon/python3-raccoon_3.0.0-1_all.deb
Size: 18344
MD5sum: c480cea92070eb14938a7620e0a1be5a
SHA1: 838e37d1d33ad3e557939e0d532965b1baa3fa91
SHA256: e21275245a3f26950b9077b3166cd7fe5b628c4c3a2902c26e50579414964de4
SHA512: ba8ce31effac56ddf61a847e3a543efef562249683b8598f28cfc9c166abed1d2f45ec89c6d16d7a0bf6bb78a34b0a53db5b75674c6a10e2065d366e488f670d
Homepage: https://github.com/rsheftel/raccoon
Description-en: Python DataFrame with fast insert and appends (Python 3)
Lightweight DataFrame and Series implementation inspired by the
phenomenal Pandas package for the one use case where Pandas is known
to be sub-optimal: DataFrames that grow in size by rows frequently in
the code. Additionally Raccoon DataFrames can be parametrized to be
sorted so that additions to the DataFrame keep the index in sorted
order to speed inserts and retrievals.
Description-md5: 0683112f610e2be0432b24f50e42f7ec