How to Install and Uninstall python3-pydantic Package on Ubuntu 21.10 (Impish Indri)
Last updated: November 26,2024
1. Install "python3-pydantic" package
Please follow the steps below to install python3-pydantic on Ubuntu 21.10 (Impish Indri)
$
sudo apt update
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$
sudo apt install
python3-pydantic
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2. Uninstall "python3-pydantic" package
Please follow the guidelines below to uninstall python3-pydantic on Ubuntu 21.10 (Impish Indri):
$
sudo apt remove
python3-pydantic
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-pydantic package on Ubuntu 21.10 (Impish Indri)
Package: python3-pydantic
Architecture: all
Version: 1.7.4-1
Priority: optional
Section: universe/python
Source: pydantic
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Michael Banck
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 574
Depends: python3:any (>= 3.6~)
Filename: pool/universe/p/pydantic/python3-pydantic_1.7.4-1_all.deb
Size: 103360
MD5sum: 25fefe756ebf454f49dd8cc414c68f88
SHA1: e70ab43458faa963f67c602c376c44b297ac8cba
SHA256: fbacd068fdae0af76234f00677b6b40ca151b364ff4b9994e6cd3e87958a9368
SHA512: 1df09fcf256c37b63a8bc46d1790742ac7d0802f1d7a459f01986694804d33cf2829a10916b5313fb7e71e97a7f1ded591b0ff2ead5a4b958a01848314b33435
Homepage: https://github.com/samuelcolvin/pydantic
Description-en: Data validation and settings management using Python type hinting
pydantic uses type hinting (PEP 484) and variable annotation (PEP 526) to
validate that untrusted data takes the desired form. There is also support for
an extension to dataclasses where the input data is validated.
Description-md5: 94574037983f36af5979357ea52cc6d9
Architecture: all
Version: 1.7.4-1
Priority: optional
Section: universe/python
Source: pydantic
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Michael Banck
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 574
Depends: python3:any (>= 3.6~)
Filename: pool/universe/p/pydantic/python3-pydantic_1.7.4-1_all.deb
Size: 103360
MD5sum: 25fefe756ebf454f49dd8cc414c68f88
SHA1: e70ab43458faa963f67c602c376c44b297ac8cba
SHA256: fbacd068fdae0af76234f00677b6b40ca151b364ff4b9994e6cd3e87958a9368
SHA512: 1df09fcf256c37b63a8bc46d1790742ac7d0802f1d7a459f01986694804d33cf2829a10916b5313fb7e71e97a7f1ded591b0ff2ead5a4b958a01848314b33435
Homepage: https://github.com/samuelcolvin/pydantic
Description-en: Data validation and settings management using Python type hinting
pydantic uses type hinting (PEP 484) and variable annotation (PEP 526) to
validate that untrusted data takes the desired form. There is also support for
an extension to dataclasses where the input data is validated.
Description-md5: 94574037983f36af5979357ea52cc6d9