How to Install and Uninstall python3-skimage-lib Package on Ubuntu 18.04 LTS (Bionic Beaver)
Last updated: January 11,2025
1. Install "python3-skimage-lib" package
Here is a brief guide to show you how to install python3-skimage-lib on Ubuntu 18.04 LTS (Bionic Beaver)
$
sudo apt update
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$
sudo apt install
python3-skimage-lib
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2. Uninstall "python3-skimage-lib" package
This guide covers the steps necessary to uninstall python3-skimage-lib on Ubuntu 18.04 LTS (Bionic Beaver):
$
sudo apt remove
python3-skimage-lib
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-skimage-lib package on Ubuntu 18.04 LTS (Bionic Beaver)
Package: python3-skimage-lib
Architecture: amd64
Version: 0.13.1-2
Multi-Arch: same
Priority: optional
Section: universe/python
Source: skimage
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9461
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.14)
Recommends: python3-skimage
Filename: pool/universe/s/skimage/python3-skimage-lib_0.13.1-2_amd64.deb
Size: 1503900
MD5sum: 707ed670669d192f1e4b6f6c8e146238
SHA1: bd174be7b46833a5aad07f23e9d735a9dad9d084
SHA256: 72998b6ba782d1c9d90145ad76b0bfb301c01f1ed72e2cc5ce024aa6f0af70d6
Homepage: http://scikit-image.org
Description: Optimized low-level algorithms for Python 3 scikit-image
Description-md5: 6f6ef69a852c74b89c1b1d6eb24b55d9
Architecture: amd64
Version: 0.13.1-2
Multi-Arch: same
Priority: optional
Section: universe/python
Source: skimage
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 9461
Depends: python3-numpy (>= 1:1.10.0~b1), python3-numpy-abi9, python3 (<< 3.7), python3 (>= 3.6~), python3:any (>= 3.2~), libc6 (>= 2.14)
Recommends: python3-skimage
Filename: pool/universe/s/skimage/python3-skimage-lib_0.13.1-2_amd64.deb
Size: 1503900
MD5sum: 707ed670669d192f1e4b6f6c8e146238
SHA1: bd174be7b46833a5aad07f23e9d735a9dad9d084
SHA256: 72998b6ba782d1c9d90145ad76b0bfb301c01f1ed72e2cc5ce024aa6f0af70d6
Homepage: http://scikit-image.org
Description: Optimized low-level algorithms for Python 3 scikit-image
Description-md5: 6f6ef69a852c74b89c1b1d6eb24b55d9