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

Last updated: September 28,2024

1. Install "python-cpl" package

Please follow the instructions below to install python-cpl on Ubuntu 16.04 LTS (Xenial Xerus)


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

This guide let you learn how to uninstall python-cpl on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-cpl
Priority: optional
Section: universe/python
Installed-Size: 139
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astronomy Maintainers
Architecture: amd64
Version: 0.7-4build2
Depends: python-astropy, python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.8.0), python-numpy-abi9, python:any (>= 2.7.5-5~), libc6 (>= 2.14)
Suggests: gdb
Filename: pool/universe/p/python-cpl/python-cpl_0.7-4build2_amd64.deb
Size: 33594
MD5sum: b43869e2540f1c8aef1a5d088b2b87f5
SHA1: 3959f005cb5a9536d107cc0178bf6f14986792ad
SHA256: dafdff05fd9a34427587def08528bc6eacc9ed7f82a55aae95027c5ad6f3f21b
Description-en: Control pipeline recipes from the European Southern Observatory
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: d3815cecee43cada2dca221d3d471474
Homepage: http://packages.python.org/python-cpl/index.html
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu