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

Last updated: November 22,2024

1. Install "binoculars" package

Here is a brief guide to show you how to install binoculars on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                binoculars
            
                    
    
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2. Uninstall "binoculars" package

Please follow the step by step instructions below to uninstall binoculars on Ubuntu 20.10 (Groovy Gorilla):


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

Package: binoculars
Architecture: all
Version: 0.0.4-1
Priority: optional
Section: universe/python
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 140
Depends: python3-binoculars (>= 0.0.4-1), python3-numpy, python3:any
Filename: pool/universe/b/binoculars/binoculars_0.0.4-1_all.deb
Size: 24836
MD5sum: f1d90afbbf0b124d2c081f715474f154
SHA1: 9e785678c9e7fa7c819b47a393cfcd8e517433f0
SHA256: 6b53cab0129b0b40c6a0eaa505bb02a7c2ba321695ba0913163494ff50c2d2cb
SHA512: 4d730fc129ae16795efd32136a56007252f9b64a17b74ee6c697226ec58e46eadec31460f147b7cd4c62d139b19f91077398d12ba1000716865555f25f5fad70
Homepage: https://github.com/picca/binoculars
Description-en: Surface X-ray diffraction 2D detector data reduction
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.
Description-md5: 7ec1126c73c65f185b08063efe81f6f2