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

Last updated: November 25,2024

1. Install "python-scitools" package

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


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

In this section, we are going to explain the necessary steps to uninstall python-scitools on Ubuntu 16.04 LTS (Xenial Xerus):


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

Package: python-scitools
Priority: extra
Section: universe/python
Installed-Size: 2258
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: all
Source: scitools
Version: 0.9.0-2
Depends: python-numpy, python-gnuplot, python-matplotlib, python-tk, python, python:any (<< 2.8), python:any (>= 2.7.5-5~)
Recommends: python-scipy, python-scientific, imagemagick, python-vtk, python-pyx, python-pmw, blt
Suggests: netpbm, ffmpeg, octave
Filename: pool/universe/s/scitools/python-scitools_0.9.0-2_all.deb
Size: 650260
MD5sum: d030df2fd8d1261e35e9c94864af622c
SHA1: 22cd6e8ed9b407865f807dfb297beb7267b26c77
SHA256: 0ee68423cb30fb65aa941c77aac954ce7380c050e53d52f7f57ce046e984648d
Description-en: Python library for scientific computing
SciTools is a Python package containing lots of useful tools for scientific
computing in Python. The package is built on top of other widely used
packages such as NumPy, SciPy, ScientificPython, Gnuplot, etc.
.
SciTools also comes with a plotting interface called Easyviz, which is a
unified interface to various packages for scientific visualization and
plotting. Both curve plots and more advanced 2D/3D visualization of scalar
and vector fields are supported. The Easyviz interface was designed with
three ideas in mind: 1) a simple, Matlab-like syntax; 2) a unified interface
to lots of visualization engines (backends): Gnuplot, Matplotlib, Grace,
Veusz, Pmw.Blt.Graph, PyX, Matlab, VTK, VisIt, OpenDX; and 3) a minimalistic
interface which offers only basic control of plots: curves, linestyles,
legends, title, axis extent and names. More fine-tuning of plots can be done
by adding backend-specific commands.
Description-md5: 11580890dc9bf18c50b304cb610cc8b4
Homepage: http://scitools.googlecode.com
Python-Version: 2.7
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu