How to Install and Uninstall python3-efel.x86_64 Package on Fedora 35
Last updated: January 16,2025
1. Install "python3-efel.x86_64" package
Learn how to install python3-efel.x86_64 on Fedora 35
$
sudo dnf update
Copied
$
sudo dnf install
python3-efel.x86_64
Copied
2. Uninstall "python3-efel.x86_64" package
This tutorial shows how to uninstall python3-efel.x86_64 on Fedora 35:
$
sudo dnf remove
python3-efel.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the python3-efel.x86_64 package on Fedora 35
Last metadata expiration check: 3:38:09 ago on Wed Sep 7 02:25:42 2022.
Available Packages
Name : python3-efel
Version : 4.0.4
Release : 1.fc35
Architecture : x86_64
Size : 196 k
Source : python-efel-4.0.4-1.fc35.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 : 4.0.4
Release : 1.fc35
Architecture : x86_64
Size : 196 k
Source : python-efel-4.0.4-1.fc35.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.