How to Install and Uninstall python3-lerc Package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Last updated: May 17,2024

You can also install and uninstall the python3-lerc on the following distributions in the same way, as they are all based on the Ubuntu system

Kubuntu 22.04 LTS
Lubuntu 22.04 LTS
Xubuntu 22.04 LTS
Ubuntu MATE 22.04 LTS
Ubuntu Studio 22.04 LTS
Pop!_OS 22.04 LTS
Zorin OS 16 / Zorin OS 17
Ubuntu Budgie 22.04

1. Install "python3-lerc" package

Please follow the guidelines below to install python3-lerc on Ubuntu 22.04 LTS (Jammy Jellyfish)


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

This tutorial shows how to uninstall python3-lerc on Ubuntu 22.04 LTS (Jammy Jellyfish):


    
        
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                sudo apt remove
            
                        
                python3-lerc
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-lerc package on Ubuntu 22.04 LTS (Jammy Jellyfish)

Package: python3-lerc
Architecture: all
Version: 3.0+ds-1
Priority: optional
Section: universe/python
Source: lerc
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian GIS Project
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 40
Depends: liblerc3, python3-numpy, python3:any
Filename: pool/universe/l/lerc/python3-lerc_3.0+ds-1_all.deb
Size: 6602
MD5sum: 85e9dd2d0af01523105fa14fdfd1a3b1
SHA1: 75adce849b5e39a9decd0e19cd635cb5292111ac
SHA256: e5f5b13afc1618637e1be3d1c4ddeb1f5df472150412681f2f378f6fb120fc0d
SHA512: d5738cd070fb388708aaa82c30d039979403cda0df02450b048bb0aefab795c92ff64406239afaff484e54354606fb6ab025bf9231d84415344b0fcd3826c0d8
Homepage: https://github.com/Esri/lerc
Description: Python 3 bindings to the Limited Error Raster Compression library
Description-md5: c174266dbbbfda4421af295bc30e9ac2