How to Install and Uninstall python3-iminuit Package on Kali Linux
Last updated: December 24,2024
1. Install "python3-iminuit" package
Please follow the instructions below to install python3-iminuit on Kali Linux
$
sudo apt update
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$
sudo apt install
python3-iminuit
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2. Uninstall "python3-iminuit" package
This is a short guide on how to uninstall python3-iminuit on Kali Linux:
$
sudo apt remove
python3-iminuit
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-iminuit package on Kali Linux
Package: python3-iminuit
Source: iminuit
Version: 2.24.0-3
Installed-Size: 1730
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3-numpy, python3 (<< 3.13), python3 (>= 3.11~), python3-typing-extensions | python3-supported-min (>= 3.9), python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 13.1)
Recommends: python3-ipywidgets (>= 8.0.0), python3-matplotlib, python3-numba, python3-scipy
Size: 437076
SHA256: 1e1e06014c17ee3f107d635c4372db7bb941f764846ce9f0ebf2088295c37cf7
SHA1: 61e37565e860a3f391dd71bfdec1aaaa152ea55c
MD5sum: f41ec41e4364dcebdda2b53e6224e65f
Description: Robust Python minimisation library based around MINUIT2
iminuit is a Jupyter-friendly Python frontend to the MINUIT2 C++ library.
It can be used as a general robust function minimisation method, but is
most commonly used for likelihood fits of models to data, and to get model
parameter error estimates from likelihood profile analysis.
Description-md5:
Homepage: https://github.com/scikit-hep/iminuit
Section: python
Priority: optional
Filename: pool/main/i/iminuit/python3-iminuit_2.24.0-3_amd64.deb
Source: iminuit
Version: 2.24.0-3
Installed-Size: 1730
Maintainer: Debian Science Maintainers
Architecture: amd64
Depends: python3-numpy, python3 (<< 3.13), python3 (>= 3.11~), python3-typing-extensions | python3-supported-min (>= 3.9), python3:any, libc6 (>= 2.32), libgcc-s1 (>= 3.3.1), libstdc++6 (>= 13.1)
Recommends: python3-ipywidgets (>= 8.0.0), python3-matplotlib, python3-numba, python3-scipy
Size: 437076
SHA256: 1e1e06014c17ee3f107d635c4372db7bb941f764846ce9f0ebf2088295c37cf7
SHA1: 61e37565e860a3f391dd71bfdec1aaaa152ea55c
MD5sum: f41ec41e4364dcebdda2b53e6224e65f
Description: Robust Python minimisation library based around MINUIT2
iminuit is a Jupyter-friendly Python frontend to the MINUIT2 C++ library.
It can be used as a general robust function minimisation method, but is
most commonly used for likelihood fits of models to data, and to get model
parameter error estimates from likelihood profile analysis.
Description-md5:
Homepage: https://github.com/scikit-hep/iminuit
Section: python
Priority: optional
Filename: pool/main/i/iminuit/python3-iminuit_2.24.0-3_amd64.deb