How to Install and Uninstall python3-pywt.x86_64 Package on Fedora 36
Last updated: October 08,2024
1. Install "python3-pywt.x86_64" package
Learn how to install python3-pywt.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
python3-pywt.x86_64
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2. Uninstall "python3-pywt.x86_64" package
In this section, we are going to explain the necessary steps to uninstall python3-pywt.x86_64 on Fedora 36:
$
sudo dnf remove
python3-pywt.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-pywt.x86_64 package on Fedora 36
Last metadata expiration check: 5:07:47 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-pywt
Version : 1.1.1
Release : 5.fc35
Architecture : x86_64
Size : 3.5 M
Source : python-pywt-1.1.1-5.fc35.src.rpm
Repository : fedora
Summary : Documentation for python-pywt
URL : https://pywavelets.readthedocs.io/en/latest
License : MIT
Description : PyWavelets is a Python wavelet transforms module that can do:
:
: * 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
: * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
: * 1D and 2D Wavelet Packet decomposition and reconstruction
: * Computing Approximations of wavelet and scaling functions
: * Over seventy built-in wavelet filters and support for custom wavelets
: * Single and double precision calculations
: * Results compatibility with Matlab Wavelet Toolbox
:
: Python 3 version.
Available Packages
Name : python3-pywt
Version : 1.1.1
Release : 5.fc35
Architecture : x86_64
Size : 3.5 M
Source : python-pywt-1.1.1-5.fc35.src.rpm
Repository : fedora
Summary : Documentation for python-pywt
URL : https://pywavelets.readthedocs.io/en/latest
License : MIT
Description : PyWavelets is a Python wavelet transforms module that can do:
:
: * 1D and 2D Forward and Inverse Discrete Wavelet Transform (DWT and IDWT)
: * 1D and 2D Stationary Wavelet Transform (Undecimated Wavelet Transform)
: * 1D and 2D Wavelet Packet decomposition and reconstruction
: * Computing Approximations of wavelet and scaling functions
: * Over seventy built-in wavelet filters and support for custom wavelets
: * Single and double precision calculations
: * Results compatibility with Matlab Wavelet Toolbox
:
: Python 3 version.