How to Install and Uninstall python3-fingerprints Package on Kali Linux
Last updated: November 26,2024
1. Install "python3-fingerprints" package
Please follow the instructions below to install python3-fingerprints on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-fingerprints
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2. Uninstall "python3-fingerprints" package
This guide covers the steps necessary to uninstall python3-fingerprints on Kali Linux:
$
sudo apt remove
python3-fingerprints
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-fingerprints package on Kali Linux
Package: python3-fingerprints
Source: python-fingerprints
Version: 1.2.3-1
Installed-Size: 80
Maintainer: Debian Python Team
Architecture: all
Depends: python3-normality, python3:any
Size: 14700
SHA256: 36f0d5a542c27fc98c77ad487470314c2a36abaa3a296a4f9b65d36fe045d068
SHA1: 65da44a1fe942fbac7bedc115c7f6470b7eaffff
MD5sum: 7cb106437a0690557f9bf27008f54b99
Description: Compare the names of companies and people with normalisation
Generate fingerprints for entity data. A fingerprint in this context is
understood as a simplified entity identifier, derived from it's name or
address and used for cross-referencing of entity across different datasets.
.
Examples:
.
- Mr. Sherlock Holmes -> holmes sherlock
- Siemens Aktiengesellschaft -> ag siemens
- New York, New York -> new york
Description-md5:
Homepage: https://github.com/alephdata/fingerprints
Section: python
Priority: optional
Filename: pool/main/p/python-fingerprints/python3-fingerprints_1.2.3-1_all.deb
Source: python-fingerprints
Version: 1.2.3-1
Installed-Size: 80
Maintainer: Debian Python Team
Architecture: all
Depends: python3-normality, python3:any
Size: 14700
SHA256: 36f0d5a542c27fc98c77ad487470314c2a36abaa3a296a4f9b65d36fe045d068
SHA1: 65da44a1fe942fbac7bedc115c7f6470b7eaffff
MD5sum: 7cb106437a0690557f9bf27008f54b99
Description: Compare the names of companies and people with normalisation
Generate fingerprints for entity data. A fingerprint in this context is
understood as a simplified entity identifier, derived from it's name or
address and used for cross-referencing of entity across different datasets.
.
Examples:
.
- Mr. Sherlock Holmes -> holmes sherlock
- Siemens Aktiengesellschaft -> ag siemens
- New York, New York -> new york
Description-md5:
Homepage: https://github.com/alephdata/fingerprints
Section: python
Priority: optional
Filename: pool/main/p/python-fingerprints/python3-fingerprints_1.2.3-1_all.deb