How to Install and Uninstall python3-nitime.x86_64 Package on Fedora 34
Last updated: September 06,2024
1. Install "python3-nitime.x86_64" package
In this section, we are going to explain the necessary steps to install python3-nitime.x86_64 on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python3-nitime.x86_64
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2. Uninstall "python3-nitime.x86_64" package
Please follow the instructions below to uninstall python3-nitime.x86_64 on Fedora 34:
$
sudo dnf remove
python3-nitime.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-nitime.x86_64 package on Fedora 34
Last metadata expiration check: 1:19:05 ago on Tue Sep 6 08:10:37 2022.
Available Packages
Name : python3-nitime
Version : 0.8.1
Release : 8.fc34
Architecture : x86_64
Size : 2.9 M
Source : python-nitime-0.8.1-8.fc34.src.rpm
Repository : fedora
Summary : Timeseries analysis for neuroscience data
URL : http://nipy.org/nitime
License : BSD
Description : Nitime is library of tools and algorithms for the analysis of time-series data
: from neuroscience experiments. It contains a implementation of numerical
: algorithms for time-series analysis both in the time and spectral domains, a
: set of container objects to represent time-series, and auxiliary objects that
: expose a high level interface to the numerical machinery and make common
: analysis tasks easy to express with compact and semantically clear code.
:
: Current information can always be found at the nitime website. Questions and
: comments can be directed to the mailing list:
: http://mail.scipy.org/mailman/listinfo/nipy-devel.
:
: Documentation is available at http://nipy.org/nitime/documentation.html
Available Packages
Name : python3-nitime
Version : 0.8.1
Release : 8.fc34
Architecture : x86_64
Size : 2.9 M
Source : python-nitime-0.8.1-8.fc34.src.rpm
Repository : fedora
Summary : Timeseries analysis for neuroscience data
URL : http://nipy.org/nitime
License : BSD
Description : Nitime is library of tools and algorithms for the analysis of time-series data
: from neuroscience experiments. It contains a implementation of numerical
: algorithms for time-series analysis both in the time and spectral domains, a
: set of container objects to represent time-series, and auxiliary objects that
: expose a high level interface to the numerical machinery and make common
: analysis tasks easy to express with compact and semantically clear code.
:
: Current information can always be found at the nitime website. Questions and
: comments can be directed to the mailing list:
: http://mail.scipy.org/mailman/listinfo/nipy-devel.
:
: Documentation is available at http://nipy.org/nitime/documentation.html