How to Install and Uninstall python3-threadpoolctl Package on Kali Linux
Last updated: November 07,2024
1. Install "python3-threadpoolctl" package
Here is a brief guide to show you how to install python3-threadpoolctl on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-threadpoolctl
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2. Uninstall "python3-threadpoolctl" package
In this section, we are going to explain the necessary steps to uninstall python3-threadpoolctl on Kali Linux:
$
sudo apt remove
python3-threadpoolctl
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-threadpoolctl package on Kali Linux
Package: python3-threadpoolctl
Source: python-threadpoolctl
Version: 3.1.0-1
Installed-Size: 76
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3:any
Size: 21176
SHA256: e4116f37edbbd1526270bb667631c0f0c4fcb8c3ea61dacfb6d0c663f9b9dd5e
SHA1: 484065ffabcd6f9a40d6f28b8f43407893e8d0ef
MD5sum: b0036e6a4975958f36fd361f327a2798
Description: Python helpers for common threading libraries (BLAS, OpenMP)
Thread-pool Controls provides Python helpers to limit the number of threads
used in the threadpool-backed of common native libraries used for scientific
computing and data science (e.g. BLAS and OpenMP).
.
Fine control of the underlying thread-pool size can be useful in workloads
that involve nested parallelism so as to mitigate oversubscription issues.
Description-md5:
Homepage: https://github.com/joblib/threadpoolctl
Section: python
Priority: optional
Filename: pool/main/p/python-threadpoolctl/python3-threadpoolctl_3.1.0-1_all.deb
Source: python-threadpoolctl
Version: 3.1.0-1
Installed-Size: 76
Maintainer: Debian Science Maintainers
Architecture: all
Depends: python3:any
Size: 21176
SHA256: e4116f37edbbd1526270bb667631c0f0c4fcb8c3ea61dacfb6d0c663f9b9dd5e
SHA1: 484065ffabcd6f9a40d6f28b8f43407893e8d0ef
MD5sum: b0036e6a4975958f36fd361f327a2798
Description: Python helpers for common threading libraries (BLAS, OpenMP)
Thread-pool Controls provides Python helpers to limit the number of threads
used in the threadpool-backed of common native libraries used for scientific
computing and data science (e.g. BLAS and OpenMP).
.
Fine control of the underlying thread-pool size can be useful in workloads
that involve nested parallelism so as to mitigate oversubscription issues.
Description-md5:
Homepage: https://github.com/joblib/threadpoolctl
Section: python
Priority: optional
Filename: pool/main/p/python-threadpoolctl/python3-threadpoolctl_3.1.0-1_all.deb