How to Install and Uninstall python-pandas-doc Package on Kali Linux

Last updated: September 20,2024

1. Install "python-pandas-doc" package

Learn how to install python-pandas-doc on Kali Linux


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                python-pandas-doc
            
                    
    
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2. Uninstall "python-pandas-doc" package

Please follow the guidelines below to uninstall python-pandas-doc on Kali Linux:


    
        
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                sudo apt remove
            
                        
                python-pandas-doc
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-pandas-doc package on Kali Linux

Package: python-pandas-doc
Source: pandas
Version: 2.1.4+dfsg-5
Installed-Size: 215257
Maintainer: Debian Science Team
Architecture: all
Depends: libjs-sphinxdoc (>= 7.2.2), libjs-mathjax
Suggests: python3-pandas
Size: 10524196
SHA256: 9285d3d1f358509ff5bbe4d80d59414ca94a955c9f1f5da7be7b537bf54952bb
SHA1: 2d2a446870305971a5fab16a96843ba8d3c9e0a6
MD5sum: e86e642f8d6322be9c490c2f364e73a5
Description: data structures for "relational" or "labeled" data - documentation
pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with "relational" or
"labeled" data both easy and intuitive. It aims to be the fundamental
high-level building block for doing practical, real world data
analysis in Python. pandas is well suited for many different kinds of
data:
.
- Tabular data with heterogeneously-typed columns, as in an SQL
table or Excel spreadsheet
- Ordered and unordered (not necessarily fixed-frequency) time
series data.
- Arbitrary matrix data (homogeneously typed or heterogeneous) with
row and column labels
- Any other form of observational / statistical data sets. The data
actually need not be labeled at all to be placed into a pandas
data structure
.
This package contains the documentation.
Description-md5:
Multi-Arch: foreign
Homepage: https://pandas.pydata.org/
Section: doc
Priority: optional
Filename: pool/main/p/pandas/python-pandas-doc_2.1.4+dfsg-5_all.deb