quan / beaglebone-jessie / debian / jessie / python-numpy-doc_1.12.0-2_all.deb
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python-numpy-doc_1.12.0-2_all.deb

STEP 1: Have you installed this repository?

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curl -s https://packagecloud.io/install/repositories/quan/beaglebone-jessie/script.deb.sh | sudo bash
copy 
curl -s https://packagecloud.io/install/repositories/quan/beaglebone-jessie/script.deb.sh | sudo bash



    

    
  


            

    
STEP 2: Install the package

      
sudo apt-get install python-numpy-doc=1:1.12.0-2

  


        

      

            
NumPy documentation


  
Full description:
  NumPy documentation
 Numpy contains a powerful N-dimensional array object, sophisticated
 (broadcasting) functions, tools for integrating C/C++ and Fortran
 code, and useful linear algebra, Fourier transform, and random number
 capabilities.
 .
 Numpy replaces the python-numeric and python-numarray modules which
 are now deprecated and shouldn't be used except to support older
 software.
 .
 This package contains documentation for Numpy and f2py.



        
          

            
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        MD5
      
      
        5b50fa5ddfae90736ba28d9d800a488c
      
    

    

      
        SHA1
      
      
        245bedd88704f5df0f9f868021ee861534a80d42
      
    

    

      
        SHA256
      
      
        d00b59cd9b5763aa74033c1596c92ddaeab9a5c53e337f388304eb0b4187f7e5
      
    

    

      
        SHA512
      
      
        7c7c5e7ceea67c0a9933a86a2b41628b8dd1e172b3484131105c798b94247d441593d298057b69b27b74f2e225790fa9a7c00f147e8ac1c4767b84a82eaa220f
      
    

  



          

        




                

                  
Depends

                  
    
                    
  • libjs-sphinxdoc (>= 1.0)
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Files

  
    
      
  • /usr/share/doc/python-numpy-doc/html/user/misc.html
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  • /usr/share/doc/python-numpy-doc/html/user/install.html
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  • /usr/share/doc/python-numpy-doc/html/user/index.html
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  • /usr/share/doc/python-numpy-doc/html/user/c-info.ufunc-tutorial.html
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  • /usr/share/doc/python-numpy-doc/html/user/c-info.python-as-glue.html
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  • /usr/share/doc/python-numpy-doc/html/user/c-info.html
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  • /usr/share/doc/python-numpy-doc/html/user/c-info.how-to-extend.html
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  • /usr/share/doc/python-numpy-doc/html/user/c-info.beyond-basics.html
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  • /usr/share/doc/python-numpy-doc/html/user/building.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.types.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.subclassing.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.rec.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.io.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.io.genfromtxt.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.indexing.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.creation.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.byteswapping.html
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  • /usr/share/doc/python-numpy-doc/html/user/basics.broadcasting.html
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  • /usr/share/doc/python-numpy-doc/html/searchindex.js
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  • /usr/share/doc/python-numpy-doc/html/search.html
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  • /usr/share/doc/python-numpy-doc/html/release.html
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  • /usr/share/doc/python-numpy-doc/html/reference/ufuncs.html
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  • /usr/share/doc/python-numpy-doc/html/reference/swig.testing.html
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  • /usr/share/doc/python-numpy-doc/html/reference/swig.interface-file.html
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  • /usr/share/doc/python-numpy-doc/html/reference/swig.html
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  • /usr/share/doc/python-numpy-doc/html/reference/routines.window.html
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  • /usr/share/doc/python-numpy-doc/html/reference/routines.testing.html
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  • /usr/share/doc/python-numpy-doc/html/reference/routines.statistics.html
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  • /usr/share/doc/python-numpy-doc/html/reference/routines.sort.html
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Uploaded

  about 7 years ago




  

    
Package Size

    4.25 MB
  

    

      
Installed Size

      24.5 MB
    




          
          

  
Downloads

  

    

      
50

    

    
  




          

  
wget

  
wget --content-disposition "https://packagecloud.io/quan/beaglebone-jessie/packages/debian/jessie/python-numpy-doc_1.12.0-2_all.deb/download.deb?distro_version_id=25"




          
            

    
Homepage

    
      http://www.numpy.org/