How to Install and Uninstall python-bcolz Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: May 18,2024

1. Install "python-bcolz" package

This guide let you learn how to install python-bcolz on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python-bcolz
            
                    
    
    Copied

2. Uninstall "python-bcolz" package

This tutorial shows how to uninstall python-bcolz on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python-bcolz
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-bcolz package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: python-bcolz
Architecture: amd64
Version: 1.2.0+ds1-1
Priority: optional
Section: universe/python
Source: bcolz
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1183
Depends: python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.13.1), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), libblosc1, libc6 (>= 2.14)
Recommends: python-numexpr
Suggests: python-pandas, python-tables, bcolz-doc
Filename: pool/universe/b/bcolz/python-bcolz_1.2.0+ds1-1_amd64.deb
Size: 305496
MD5sum: b596c893b3648d021013728ead8437a8
SHA1: b6a159396a55884c722f11190108b5c7d67d7caf
SHA256: 0a825275b289b05a930e549d6d5162cf368f290c389565a122ccc5717b71db9f
Homepage: https://github.com/Blosc/bcolz
Description: high performant compressed data container based on NumPy (Python 2)
Description-md5: 1362ae745e98523ba1e4517f6abdfbb9