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

Last updated: May 09,2024

1. Install "python3-storm-dbg" package

In this section, we are going to explain the necessary steps to install python3-storm-dbg on Ubuntu 20.10 (Groovy Gorilla)


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

Learn how to uninstall python3-storm-dbg on Ubuntu 20.10 (Groovy Gorilla):


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

Package: python3-storm-dbg
Architecture: amd64
Version: 0.24-1
Priority: optional
Section: universe/debug
Source: storm
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 224
Depends: python3-storm (= 0.24-1), python3-dbg (<< 3.9), python3-dbg (>= 3.8~), libc6 (>= 2.4)
Suggests: python3-psycopg2
Filename: pool/universe/s/storm/python3-storm-dbg_0.24-1_amd64.deb
Size: 130716
MD5sum: 8a3e8f1c07a62fdb1ceb3e0496572538
SHA1: 11724b179d9c33e45bf12b6277efd2c1a866374d
SHA256: d7102138de4343383039c9c0280e2143d31ab8b8c93505649ebdbbd2b3dc7fbc
SHA512: faff0df5094d251a6f6e26db7d4659a0a148148639cf4b7d089ec50bcfb25d69938fad893f64e9dfff2ce1f2d51c3c0b79001e7b8c83c81cd9cbea62beae2dac
Homepage: https://storm.canonical.com/
Description-en: object-relational mapper (ORM) for Python 3 - debugging files
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).
.
This package contains the extension built for the Python 3 debug
interpreter.
Description-md5: 6e49c5a5bea4b1ac4f7acbf3c0876af2
Build-Ids: 5324eb58b098fa5c4140b2372bc4f565cccd2613 9d1d694f8df9cf24913454058af962a88a06cb06