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

Last updated: May 18,2024

1. Install "python-dap" package

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


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

This tutorial shows how to uninstall python-dap on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-dap
Priority: optional
Section: universe/python
Installed-Size: 292
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: pydap
Version: 2.2.6.7-2
Depends: python (>= 2.7), python (<< 2.8), python:any (>= 2.7.1-0ubuntu2), python-httplib2
Recommends: python-paste, python-pastedeploy, python-pastescript, python-cheetah
Filename: pool/universe/p/pydap/python-dap_2.2.6.7-2_all.deb
Size: 50326
MD5sum: 0c1b28ab80b2e4456379b1d6638925fa
SHA1: 0c51423a17f5765de102fc6b9969994448999423
SHA256: da909b3cb1f85f76af50269bf5354371bcf9fa18f71d8857f03d2917dec7de94
Description-en: DAP (Data Access Protocol) client and server
This is a Python implementation of the Data Access Protocol, a scientific
protocol for data access developed by the OPeNDAP team
(http://opendap.org). This implementation is developed from scratch, following
the latest specification of the protocol (DAP 2.0 Draft Community Standard
2005/04/27) and based on experience with OPeNDAP servers on the wild.
.
Using this module one can access hundreds of scientific datasets from Python
programs, accessing data in an efficient, transparent and pythonic way. Arrays
are manipulated like normal multi-dimensional arrays (like numpy.array, e.g.),
with the fundamental difference that data is downloaded on-the-fly when a
variable is sliced. Sequential data can be filtered on the server side before
being downloaded, saving bandwidth and time.
.
The module also implements a DAP server, allowing datasets from a multitude of
formats (netCDF, Matlab, CSV, GrADS/GRIB files, SQL RDBMS) to be served on the
internet. The server specifies a plugin API for supporting new data formats in
an easy way. The DAP server is implemented as a WSGI application (see PEP 333),
running on a variety of servers, and can be combined with WSGI middleware to
support authentication, gzip compression and much more.
Description-md5: 629c035b3e74bb98279c9f24e4e79496
Homepage: http://pydap.org/2.x/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu