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

Last updated: December 23,2024

1. Install "python3-sqlalchemy" package

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

$ sudo apt update $ sudo apt install python3-sqlalchemy

2. Uninstall "python3-sqlalchemy" package

In this section, we are going to explain the necessary steps to uninstall python3-sqlalchemy on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove python3-sqlalchemy $ sudo apt autoclean && sudo apt autoremove

3. Information about the python3-sqlalchemy package on Ubuntu 20.10 (Groovy Gorilla)

Package: python3-sqlalchemy
Architecture: all
Version: 1.3.19+ds1-1
Priority: optional
Section: python
Source: sqlalchemy
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Piotr Ożarowski
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4739
Depends: python3:any
Recommends: python3-sqlalchemy-ext
Suggests: python-sqlalchemy-doc, python3-fdb, python3-pymssql, python3-mysqldb, python3-psycopg2
Filename: pool/main/s/sqlalchemy/python3-sqlalchemy_1.3.19+ds1-1_all.deb
Size: 783972
MD5sum: 06cad6366f41cb095ac35a3cae2147a0
SHA1: 8850d1db28eb8156bd58b5bdcecaecd9e125ce3d
SHA256: fa0ea1aa06c2b896cda5311b7e5310ce62bd1b12d048c378824f4419eebc2c96
SHA512: 7aa7ad2f675cb8a4b932a9b713b6e42f1162d1ea7d90cc4075c65211b28d4c32cea43053b0579d366ed36c6c1bc51c8df1f9cf7432026f8b3b80b21061f51f27
Homepage: http://www.sqlalchemy.org/
Description-en: SQL toolkit and Object Relational Mapper for Python 3
SQLAlchemy is an SQL database abstraction library for Python.
Its strengths are:
* full power and flexibility of SQL. SQLAlchemy provides a full suite
of well known enterprise-level persistence patterns, designed for
efficient and high-performing database access, adapted into a simple
and Pythonic domain language.
* extremely easy to use for all the basic tasks, such as: accessing pooled
connections, constructing SQL from Python expressions, finding object
instances, and committing object modifications back to the database.
* powerful enough for complicated tasks, such as: eager load a graph of
objects and their dependencies via joins; map recursive adjacency
structures automatically; map objects to not just tables but to any
arbitrary join or select statement; combine multiple tables together to
load whole sets of otherwise unrelated objects from a single result set;
commit entire graphs of object changes in one step.
* built to conform to what DBAs demand, including the ability to swap out
generated SQL with hand-optimized statements, full usage of bind parameters
for all literal values, fully transactionalized and consistent updates
using Unit of Work.
* modular. Different parts of SQLAlchemy can be used independently of the
rest, including the connection pool, SQL construction, and ORM. SQLAlchemy
is constructed in an open style that allows plenty of customization, with
an architecture that supports custom datatypes, custom SQL extensions, and
ORM plugins which can augment or extend mapping functionality.
Description-md5: ab3e4e16d880158a692652f7aeb4779d