How to Install and Uninstall pycoqc Package on Linux Mint 21.3 (Virginia)
Last updated: November 21,2024
1. Install "pycoqc" package
Learn how to install pycoqc on Linux Mint 21.3 (Virginia)
$
sudo apt update
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$
sudo apt install
pycoqc
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2. Uninstall "pycoqc" package
Here is a brief guide to show you how to uninstall pycoqc on Linux Mint 21.3 (Virginia):
$
sudo apt remove
pycoqc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the pycoqc package on Linux Mint 21.3 (Virginia)
Package: pycoqc
Architecture: all
Version: 2.5.2+dfsg-3
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 193
Depends: python3-h5py-serial, python3-jinja2, python3-numpy, python3-pandas, python3-plotly (>= 4.1.0), python3-pysam, python3-scipy, python3-tqdm, python3:any, python3-h5py
Filename: pool/universe/p/pycoqc/pycoqc_2.5.2+dfsg-3_all.deb
Size: 36424
MD5sum: 79b6a1ba469313047921ce20db331842
SHA1: 85e7f40f38c830d5e700210d8b2c2b5417aa4dca
SHA256: f8d30496f09296e7869e13f7d95b601a0a1549c8e0c7bee4c2434c1a72ffaf54
SHA512: 60f80b64cab165f48ff666d51db23ab7ec31520f550fc9b3b75b05161b40a7cc5ef179112778ad7ebd68db529627b549db0badaab891967b720ff55f17eba996
Homepage: https://github.com/a-slide/pycoQC
Description: computes metrics and generates Interactive QC plots
Description-md5: 311c31394d7f1c34ec5bf3baa30e71f3
Architecture: all
Version: 2.5.2+dfsg-3
Priority: optional
Section: universe/science
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Med Packaging Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 193
Depends: python3-h5py-serial, python3-jinja2, python3-numpy, python3-pandas, python3-plotly (>= 4.1.0), python3-pysam, python3-scipy, python3-tqdm, python3:any, python3-h5py
Filename: pool/universe/p/pycoqc/pycoqc_2.5.2+dfsg-3_all.deb
Size: 36424
MD5sum: 79b6a1ba469313047921ce20db331842
SHA1: 85e7f40f38c830d5e700210d8b2c2b5417aa4dca
SHA256: f8d30496f09296e7869e13f7d95b601a0a1549c8e0c7bee4c2434c1a72ffaf54
SHA512: 60f80b64cab165f48ff666d51db23ab7ec31520f550fc9b3b75b05161b40a7cc5ef179112778ad7ebd68db529627b549db0badaab891967b720ff55f17eba996
Homepage: https://github.com/a-slide/pycoQC
Description: computes metrics and generates Interactive QC plots
Description-md5: 311c31394d7f1c34ec5bf3baa30e71f3