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

Last updated: November 22,2024

1. Install "python3-scalene" package

Please follow the steps below to install python3-scalene on Ubuntu 21.10 (Impish Indri)


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

Here is a brief guide to show you how to uninstall python3-scalene on Ubuntu 21.10 (Impish Indri):


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

Package: python3-scalene
Architecture: all
Version: 0.7.5-2
Priority: optional
Section: universe/python
Source: scalene
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 79
Depends: python3:any
Filename: pool/universe/s/scalene/python3-scalene_0.7.5-2_all.deb
Size: 12252
MD5sum: 29675784e2ef227da5e05c452a65ff0f
SHA1: 8a50221c52a585a3f87d8b58966f2c2d68615955
SHA256: ad78444d87e158de7709d86874fb1b8f2f0ee9e2eaeaccb92578d6f45fd8dc15
SHA512: bc95da95a300f714d703e57efa6b4104b5ceef4071c2a3039d601343b77ab2c654a6a79c9524b2d5c25560db45bfe4eecb4212fc916ef70fbed02ad52ce2ff0e
Homepage: https://github.com/emeryberger/scalene
Description-en: high-performance CPU and memory profiler for Python (Python 3)
scalene is a high-performance cpu *and* memory profiler for Python that does
a few things that other Python profilers do not and cannot do. It runs
orders of magnitude faster than other profilers while delivering far more
detailed information.
.
This package installs the library for Python 3.
Description-md5: bed4d4095fd27a289b43f44f6a656400