How to Install and Uninstall python3-storm Package on Kali Linux
Last updated: November 22,2024
1. Install "python3-storm" package
Please follow the guidance below to install python3-storm on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-storm
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2. Uninstall "python3-storm" package
In this section, we are going to explain the necessary steps to uninstall python3-storm on Kali Linux:
$
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 Kali Linux
Package: python3-storm
Source: storm
Version: 0.26-2
Installed-Size: 1554
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-six, python3:any, libc6 (>= 2.4)
Suggests: python3-psycopg2 | python3-mysqldb
Size: 240532
SHA256: b1566e3ac2447aa7af831adbb9f1a14bb1a1c46802b334c264c457b5be498e7b
SHA1: 5c2d73fab4e8106db0188ed9cae9107c8dbb3958
MD5sum: 6be019236dea944f5211d768074bb778
Description: 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 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:
Homepage: https://storm.canonical.com/
Section: python
Priority: optional
Filename: pool/main/s/storm/python3-storm_0.26-2_amd64.deb
Source: storm
Version: 0.26-2
Installed-Size: 1554
Maintainer: Debian Python Team
Architecture: amd64
Depends: python3 (<< 3.13), python3 (>= 3.11~), python3-six, python3:any, libc6 (>= 2.4)
Suggests: python3-psycopg2 | python3-mysqldb
Size: 240532
SHA256: b1566e3ac2447aa7af831adbb9f1a14bb1a1c46802b334c264c457b5be498e7b
SHA1: 5c2d73fab4e8106db0188ed9cae9107c8dbb3958
MD5sum: 6be019236dea944f5211d768074bb778
Description: 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 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:
Homepage: https://storm.canonical.com/
Section: python
Priority: optional
Filename: pool/main/s/storm/python3-storm_0.26-2_amd64.deb