How to Install and Uninstall python3-storm Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "python3-storm" package

Please follow the step by step instructions below to install python3-storm on Ubuntu 20.10 (Groovy Gorilla)


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

Please follow the steps below to uninstall python3-storm on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                python3-storm
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python3-storm package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-storm
Architecture: amd64
Version: 0.24-1
Priority: optional
Section: universe/python
Source: storm
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 1478
Depends: python3 (<< 3.9), python3 (>= 3.8~), python3-six, python3:any, libc6 (>= 2.4)
Suggests: python3-psycopg2
Filename: pool/universe/s/storm/python3-storm_0.24-1_amd64.deb
Size: 219124
MD5sum: 5f8f16f7b2753fd005e6e4ccc7ef428f
SHA1: 280d93bf8959f3fa8f5eb47f958c2436513f4fa1
SHA256: 835b438df55853ef8d05bbcf2b111d8f0f3ca1bd9eece95c293dbd8d8204305c
SHA512: 574fd79f00b0e4080f55c5eebad43a4b132a253a766f2782944ad8181325fe8b6001bbc8feb8f7e18691faa669cf5b406299bd76b5eadc779eac1306aa9066a1
Homepage: https://storm.canonical.com/
Description-en: object-relational mapper (ORM) for Python 3
Storm is an object-relational mapper (ORM) for the Python language. In
simple terms, that kind of system allows rows from a relational
database to be seen as objects in an object-oriented language like
Python.
.
Features:
* Clean and lightweight API offers a short learning curve and
long-term maintainability.
* Storm is developed in a test-driven manner. An untested line of
code is considered a bug.
* Storm needs no special class constructors, nor imperative base
classes.
* Storm is well designed (different classes have very clear
boundaries, with small and clean public APIs).
* Designed from day one to work both with thin relational databases,
such as SQLite, and big iron systems like PostgreSQL.
* Storm is easy to debug, since its code is written with a KISS
principle, and thus is easy to understand.
* Designed from day one to work both at the low end, with trivial
small databases, and the high end, with applications accessing
billion row tables and committing to multiple database backends.
* It's very easy to write and support backends for Storm (current
backends have around 100 lines of code).
Description-md5: 5ee69b3ef4d5e90d4ad857a21d3d1180