How to Install and Uninstall python3-intake Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 26,2024

1. Install "python3-intake" package

Here is a brief guide to show you how to install python3-intake on Ubuntu 21.10 (Impish Indri)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python3-intake
            
                    
    
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2. Uninstall "python3-intake" package

This guide let you learn how to uninstall python3-intake on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                python3-intake
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-intake package on Ubuntu 21.10 (Impish Indri)

Package: python3-intake
Architecture: amd64
Version: 0.6.1-2
Priority: optional
Section: universe/python
Source: intake
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 2105
Depends: python3-appdirs, python3-dask, python3-entrypoints, python3-fsspec, python3-yaml, python3:any, python3-jinja2, python3-numpy, python3-requests, python3-msgpack
Filename: pool/universe/i/intake/python3-intake_0.6.1-2_amd64.deb
Size: 1431952
MD5sum: 756aa17133e0c18cbea406a2ee366066
SHA1: 65ee4f42aa8231137286614ad9525c4945403fb5
SHA256: a9f788b5187ff7ffbd8933e7b5a2d458e2ca2f4270f526c56a7a51bc4d4719d6
SHA512: 052326c3e6a13747a11f770a5c3e0e084e097bece601ee4ba7a762399b5cda8b16f9e80333af0307f51d5b42da5644f83fa70ab67a03af5be73966b08383b4ef
Homepage: https://github.com/intake/intake
Description-en: lightweight package for finding and investigating data
Intake is a lightweight set of tools for loading and sharing data in
data science projects. Intake helps you:
.
1. Load data from a variety of formats into containers you already know,
like Pandas dataframes, Python lists, NumPy arrays and more.
2. Convert boilerplate data loading code into reusable intake plugins.
3. Describe data sets in catalog files for easy reuse and sharing
between projects and with others.
4. Share catalog information (and data sets) over the network with the
Intake server.
Description-md5: bdd33dba0fae6566ef150f702638f011