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

Last updated: November 22,2024

You can also install and uninstall the python3-scikit-fmm 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-scikit-fmm" package

Please follow the steps below to install python3-scikit-fmm on Ubuntu 22.04 LTS (Jammy Jellyfish)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-scikit-fmm
            
                    
    
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2. Uninstall "python3-scikit-fmm" package

Here is a brief guide to show you how to uninstall python3-scikit-fmm on Ubuntu 22.04 LTS (Jammy Jellyfish):


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

Package: python3-scikit-fmm
Architecture: amd64
Version: 2019.1.30-1ubuntu2
Priority: optional
Section: universe/python
Source: scikit-fmm
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Bdale Garbee
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 157
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2), python3 (<< 3.11), python3 (>= 3.10~), python3-numpy (>= 1:1.20.0), python3-numpy-abi9, python3:any (>= 3.6~)
Suggests: python-scikit-fmm-doc
Filename: pool/universe/s/scikit-fmm/python3-scikit-fmm_2019.1.30-1ubuntu2_amd64.deb
Size: 45366
MD5sum: 13c34f3efc3b8b323a9828bd382b4302
SHA1: f645e49e53a688fd83783ffb729bf584396c8d49
SHA256: 1ac774445589bcf25ce8c5a0bd8edb195781c81b78c3a61e7e98ef7141ee2aec
SHA512: 522d0ca40e4bbde81fcade86fcba426c18b94140de70c1884d1f3ae0b0895ff777474c08f9587e352a25c88ef8338202c2322907cf1c7e344a602ea2599ac5c7
Homepage: https://github.com/scikit-fmm/scikit-fmm/
Description: fast marching method extension (Python 3)
Description-md5: bd161ffa489ea0ea50fc871f1cc8d902