How to Install and Uninstall python-storm Package on Ubuntu 16.04 LTS (Xenial Xerus)
Last updated: December 25,2024
1. Install "python-storm" package
This is a short guide on how to install python-storm on Ubuntu 16.04 LTS (Xenial Xerus)
$
sudo apt update
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$
sudo apt install
python-storm
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2. Uninstall "python-storm" package
Please follow the guidelines below to uninstall python-storm on Ubuntu 16.04 LTS (Xenial Xerus):
$
sudo apt remove
python-storm
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-storm package on Ubuntu 16.04 LTS (Xenial Xerus)
Package: python-storm
Priority: extra
Section: universe/devel
Installed-Size: 580
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: amd64
Source: storm
Version: 0.19-1
Depends: libc6 (>= 2.2.5), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8)
Suggests: python-psycopg2 | python-mysqldb | python-pysqlite2
Filename: pool/universe/s/storm/python-storm_0.19-1_amd64.deb
Size: 121570
MD5sum: fb8007b6b8850f125a588944d6f26d4c
SHA1: ebc721e8096c4435a590cf093eb2ae973948b414
SHA256: bc9809509fc1e5bd34e3744397c4bbe3c55632abc72ea0f2f7eb62c665d7ad80
Description-en: object-relational mapper (ORM) for Python
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).
Description-md5: 5b05ed988f685763d7cf768c1680b946
Homepage: http://storm.canonical.com/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu
Priority: extra
Section: universe/devel
Installed-Size: 580
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Python Modules Team
Architecture: amd64
Source: storm
Version: 0.19-1
Depends: libc6 (>= 2.2.5), python2.7, python (>= 2.7.1-0ubuntu2), python (<< 2.8)
Suggests: python-psycopg2 | python-mysqldb | python-pysqlite2
Filename: pool/universe/s/storm/python-storm_0.19-1_amd64.deb
Size: 121570
MD5sum: fb8007b6b8850f125a588944d6f26d4c
SHA1: ebc721e8096c4435a590cf093eb2ae973948b414
SHA256: bc9809509fc1e5bd34e3744397c4bbe3c55632abc72ea0f2f7eb62c665d7ad80
Description-en: object-relational mapper (ORM) for Python
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).
Description-md5: 5b05ed988f685763d7cf768c1680b946
Homepage: http://storm.canonical.com/
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu