How to Install and Uninstall binoculars-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: November 22,2024

1. Install "binoculars-doc" package

Please follow the guidance below to install binoculars-doc on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                binoculars-doc
            
                    
    
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2. Uninstall "binoculars-doc" package

Please follow the guidelines below to uninstall binoculars-doc on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                binoculars-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the binoculars-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: binoculars-doc
Architecture: all
Version: 0.0.4-1
Built-Using: sphinx (= 1.8.4-1)
Priority: optional
Section: universe/doc
Source: binoculars
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1101
Depends: libjs-sphinxdoc (>= 1.0)
Filename: pool/universe/b/binoculars/binoculars-doc_0.0.4-1_all.deb
Size: 81596
MD5sum: f64f4c69a32ad23b9a78f3f4f78bdd19
SHA1: 691c822d7f014fe532146f05a5dc732c3c1e442b
SHA256: 7377c293ea125142f5c604db1ff8709ccd1c14c5ffd6190905139778cb973a31
SHA512: 1e57a440f0a29da78b5129d1aa2fb0db477aa110a5e2d1aeedabe6aa4de31d80e65764866b7e7ebe5a1660267ad8bc1d9526dfa6dc27c184d99ecd59273a20b4
Homepage: https://github.com/picca/binoculars
Description-en: Surface X-ray diffraction 2D detector data reduction - Documentation
BINoculars is a tool for data reduction and analysis of large sets of
surface diffraction data that have been acquired with a
two-dimensional X-ray detector. The intensity of each pixel of a
two-dimensional detector is projected onto a three-dimensional grid
in reciprocal-lattice coordinates using a binning algorithm. This
allows for fast acquisition and processing of high-resolution data
sets and results in a significant reduction of the size of the data
set. The subsequent analysis then proceeds in reciprocal space. It
has evolved from the specific needs of the ID03 beamline at the ESRF,
but it has a modular design and can be easily adjusted and extended
to work with data from other beamlines or from other measurement
techniques.
.
This is the common documentation package.
Description-md5: 3a926b32f8ddecfb023dc412167e13ff