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

Last updated: November 05,2024

1. Install "python3-asdf" package

This tutorial shows how to install python3-asdf on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python3-asdf
            
                    
    
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2. Uninstall "python3-asdf" package

Please follow the instructions below to uninstall python3-asdf on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-asdf
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-asdf package on Ubuntu 21.10 (Impish Indri)

Package: python3-asdf
Architecture: all
Version: 2.7.2-1
Priority: optional
Section: universe/python
Source: python-asdf
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1476
Depends: python3-jsonschema, python3-numpy, python3-semantic-version (>= 2.8), python3-yaml, python3:any
Filename: pool/universe/p/python-asdf/python3-asdf_2.7.2-1_all.deb
Size: 325212
MD5sum: 5323c7d7c657865545453b771b99f39b
SHA1: f0d57cf99543beca8c9ab3a71173fdf157f951d0
SHA256: b44898f0dbda655c2b6b37306b331ad50c043f8a86374271578fff57bf8e83fc
SHA512: 509182b4bf83854855fe6974a1e1ed6223b559608efde5314cc65bebab487f3a71d28697baa313caf3edd28039b799561fd259a0d394eecbaf174ad2f376c6b6
Homepage: https://github.com/spacetelescope/asdf
Description-en: Python 3 library for the Advanced Scientific Data Format
ASDF (Advanced Scientific Data Format) is a proposed
next generation interchange format for scientific data. ASDF aims to
exist in the same middle ground that made FITS so successful, by
being a hybrid text and binary format: containing human editable
metadata for interchange, and raw binary data that is fast to load
and use. Unlike FITS, the metadata is highly structured and is
designed up-front for extensibility.
.
This is the Python 3 package.
Description-md5: 5de6519bea5b5e62a795a426d96b1ab8