How to Install and Uninstall python3-cpl Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 20,2024

1. Install "python3-cpl" package

This guide let you learn how to install python3-cpl on Ubuntu 16.04 LTS (Xenial Xerus)


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

Please follow the guidance below to uninstall python3-cpl on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python3-cpl
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-cpl package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python3-cpl
Priority: optional
Section: universe/python
Installed-Size: 137
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Architecture: amd64
Source: python-cpl
Version: 0.7-4build2
Depends: python3-astropy, python3 (<< 3.6), python3 (>= 3.5~), python3-numpy (>= 1:1.8.0), python3-numpy-abi9, libc6 (>= 2.14)
Suggests: gdb
Filename: pool/universe/p/python-cpl/python3-cpl_0.7-4build2_amd64.deb
Size: 33378
MD5sum: 8bda4a510b1d68c9ef87d929d4c87a5e
SHA1: 271c9532736c1c9e47f3e9c6083f6552d066c08a
SHA256: e331f16b0403b5e6eca014b1b3a943f358bd6bc442931bc6b7e19c20fcd4fa12
Description-en: Control pipeline recipes from the ESO (Python3)
This module can list, configure and execute CPL-based recipes from Python3.
The input, calibration and output data can be specified as FITS files
or as pyfits objects in memory.
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The Common Pipeline Library (CPL) comprises a set of ISO-C libraries that
provide a comprehensive, efficient and robust software toolkit. It forms a
basis for the creation of automated astronomical data-reduction tasks.
.
One of the features provided by the CPL is the ability to create
data-reduction algorithms that run as plugins (dynamic libraries). These are
called "recipes" and are one of the main aspects of the CPL data-reduction
development environment.
Description-md5: 4b557d57be8e7c3ab6b88e0806b622a8
Homepage: http://packages.python.org/python-cpl/index.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu