How to Install and Uninstall python3-devicely.x86_64 Package on Fedora 39
Last updated: November 15,2024
1. Install "python3-devicely.x86_64" package
Please follow the guidance below to install python3-devicely.x86_64 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
python3-devicely.x86_64
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2. Uninstall "python3-devicely.x86_64" package
This guide covers the steps necessary to uninstall python3-devicely.x86_64 on Fedora 39:
$
sudo dnf remove
python3-devicely.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-devicely.x86_64 package on Fedora 39
Last metadata expiration check: 4:08:34 ago on Thu Mar 7 17:44:52 2024.
Available Packages
Name : python3-devicely
Version : 1.1.1
Release : 7.fc39
Architecture : x86_64
Size : 55 k
Source : python-devicely-1.1.1-7.fc39.src.rpm
Repository : fedora
Summary : A Python package for reading, timeshifting and writing sensor data
URL : https://github.com/hpi-dhc/devicely
License : MIT
Description : Devicely is a Python package for reading, de-identifying and writing data from
: various health monitoring sensors. With devicely, you can read sensor data and
: have it easily accessible in dataframes. You can also de-identify data and write
: them back using their original data format. This makes it convenient to share
: sensor data with other researchers while mantaining people's privacy.
Available Packages
Name : python3-devicely
Version : 1.1.1
Release : 7.fc39
Architecture : x86_64
Size : 55 k
Source : python-devicely-1.1.1-7.fc39.src.rpm
Repository : fedora
Summary : A Python package for reading, timeshifting and writing sensor data
URL : https://github.com/hpi-dhc/devicely
License : MIT
Description : Devicely is a Python package for reading, de-identifying and writing data from
: various health monitoring sensors. With devicely, you can read sensor data and
: have it easily accessible in dataframes. You can also de-identify data and write
: them back using their original data format. This makes it convenient to share
: sensor data with other researchers while mantaining people's privacy.