How to Install and Uninstall python312-statsmodels Package on openSuSE Tumbleweed
Last updated: December 25,2024
1. Install "python312-statsmodels" package
In this section, we are going to explain the necessary steps to install python312-statsmodels on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-statsmodels
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2. Uninstall "python312-statsmodels" package
Learn how to uninstall python312-statsmodels on openSuSE Tumbleweed:
$
sudo zypper remove
python312-statsmodels
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3. Information about the python312-statsmodels package on openSuSE Tumbleweed
Information for package python312-statsmodels:
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-statsmodels
Version : 0.14.1-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 53.9 MiB
Installed : No
Status : not installed
Source package : python-statsmodels-0.14.1-2.1.src
Upstream URL : https://github.com/statsmodels/statsmodels
Summary : A Python module that allows users to explore data
Description :
Statsmodels is a Python module that allows users to explore data,
estimate statistical models, and perform statistical tests.
An extensive list of descriptive statistics, statistical tests,
plotting functions, and result statistics are available for different
types of data and each estimator. Researchers across fields may find
that statsmodels fully meets their needs for statistical computing
and data analysis in Python.
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-statsmodels
Version : 0.14.1-2.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 53.9 MiB
Installed : No
Status : not installed
Source package : python-statsmodels-0.14.1-2.1.src
Upstream URL : https://github.com/statsmodels/statsmodels
Summary : A Python module that allows users to explore data
Description :
Statsmodels is a Python module that allows users to explore data,
estimate statistical models, and perform statistical tests.
An extensive list of descriptive statistics, statistical tests,
plotting functions, and result statistics are available for different
types of data and each estimator. Researchers across fields may find
that statsmodels fully meets their needs for statistical computing
and data analysis in Python.