How to Install and Uninstall python3-efel.x86_64 Package on Fedora 36
Last updated: December 28,2024
1. Install "python3-efel.x86_64" package
This guide let you learn how to install python3-efel.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
python3-efel.x86_64
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2. Uninstall "python3-efel.x86_64" package
Please follow the instructions below to uninstall python3-efel.x86_64 on Fedora 36:
$
sudo dnf remove
python3-efel.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-efel.x86_64 package on Fedora 36
Last metadata expiration check: 0:27:19 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-efel
Version : 4.0.42
Release : 1.fc36
Architecture : x86_64
Size : 197 k
Source : python-efel-4.0.42-1.fc36.src.rpm
Repository : updates
Summary : Electrophys Feature Extraction Library
URL : http://efel.readthedocs.io/
License : LGPLv3
Description :
: The Electrophys Feature Extraction Library (eFEL) allows neuroscientists to
: automatically extract features from time series data recorded from neurons
: (both in vitro and in silico). Examples are the action potential width and
: amplitude in voltage traces recorded during whole-cell patch clamp experiments.
: The user of the library provides a set of traces and selects the features to be
: calculated. The library will then extract the requested features and return the
: values to the user.
:
: The core of the library is written in C++, and a Python wrapper is included. At
: the moment we provide a way to automatically compile and install the library as
: a Python module.
Available Packages
Name : python3-efel
Version : 4.0.42
Release : 1.fc36
Architecture : x86_64
Size : 197 k
Source : python-efel-4.0.42-1.fc36.src.rpm
Repository : updates
Summary : Electrophys Feature Extraction Library
URL : http://efel.readthedocs.io/
License : LGPLv3
Description :
: The Electrophys Feature Extraction Library (eFEL) allows neuroscientists to
: automatically extract features from time series data recorded from neurons
: (both in vitro and in silico). Examples are the action potential width and
: amplitude in voltage traces recorded during whole-cell patch clamp experiments.
: The user of the library provides a set of traces and selects the features to be
: calculated. The library will then extract the requested features and return the
: values to the user.
:
: The core of the library is written in C++, and a Python wrapper is included. At
: the moment we provide a way to automatically compile and install the library as
: a Python module.