How to Install and Uninstall python-storm-dbg Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 07,2024

1. Install "python-storm-dbg" package

Please follow the guidelines below to install python-storm-dbg on Ubuntu 16.04 LTS (Xenial Xerus)


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

Please follow the instructions below to uninstall python-storm-dbg on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-storm-dbg
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the python-storm-dbg package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-storm-dbg
Priority: extra
Section: universe/debug
Installed-Size: 285
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: amd64
Source: storm
Version: 0.19-1
Depends: python-storm (= 0.19-1), python2.7-dbg, python-dbg (>= 2.7), python-dbg (<< 2.8), libc6 (>= 2.2.5)
Suggests: python-psycopg2 | python-mysqldb | python-pysqlite2
Filename: pool/universe/s/storm/python-storm-dbg_0.19-1_amd64.deb
Size: 77196
MD5sum: 4711a9d4d5dc52ea66622c8924eaa9d4
SHA1: e350299c0fcc6291d4aca33b77d875a43e5f2403
SHA256: 8840a0f6d0334893438d937a6390e21df4e0fe6273b3c6b93f84eeb679e94802
Description-en: object-relational mapper (ORM) for Python - debugging files
Storm is an object-relation 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-
erm 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 and MySQL.
* 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 debug interpreter.
Description-md5: 638ac12743a8377050841c401d4cbc8f
Homepage: http://storm.canonical.com/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu