How to Install and Uninstall python3-numpy Package on Ubuntu 18.04 LTS (Bionic Beaver)

Last updated: May 17,2024

1. Install "python3-numpy" package

Please follow the instructions below to install python3-numpy on Ubuntu 18.04 LTS (Bionic Beaver)


    
        
            $
        

        
            
                sudo apt update
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt install
            
                        
                python3-numpy
            
                    
    
    Copied

2. Uninstall "python3-numpy" package

This guide covers the steps necessary to uninstall python3-numpy on Ubuntu 18.04 LTS (Bionic Beaver):


    
        
            $
        

        
            
                sudo apt remove
            
                        
                python3-numpy
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python3-numpy package on Ubuntu 18.04 LTS (Bionic Beaver)

Package: python3-numpy
Architecture: amd64
Version: 1:1.13.3-2ubuntu1
Priority: optional
Section: python
Source: python-numpy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Sandro Tosi
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 10670
Provides: python3-f2py, python3-numpy-abi9, python3-numpy-api11, python3-numpy-dev, python3.6-numpy
Depends: python3 (<< 3.7), python3 (>= 3.6~), python3.6:any, python3:any (>= 3.4~), libblas3 | libblas.so.3, libc6 (>= 2.14), liblapack3 | liblapack.so.3
Suggests: gcc (>= 4:4.6.1-5), gfortran, python-numpy-doc, python3-dev, python3-nose (>= 1.0), python3-numpy-dbg
Filename: pool/main/p/python-numpy/python3-numpy_1.13.3-2ubuntu1_amd64.deb
Size: 1942804
MD5sum: 7b84ea9967f987a292b64f5bc5b6d65f
SHA1: 73fd8354b7106ac81b8add37947173aad515a9d5
SHA256: 3098ad88b8404cbeee66cc6eef96b13ea87eda848900d7cb754fd0bf280741bf
Homepage: http://www.numpy.org/
Description: Fast array facility to the Python 3 language
Description-md5: 4fef6b207fcddcc7678c9cb4c3a66bd2
Task: ubuntustudio-video
Supported: 5y