How to Install and Uninstall python3-pywt.x86_64 Package on Fedora 38
Last updated: November 29,2024
1. Install "python3-pywt.x86_64" package
Learn how to install python3-pywt.x86_64 on Fedora 38
$
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 38:
$
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 38
Last metadata expiration check: 1:41:23 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : python3-pywt
Version : 1.3.0
Release : 3.fc38
Architecture : x86_64
Size : 3.6 M
Source : python-pywt-1.3.0-3.fc38.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 : 1.3.0
Release : 3.fc38
Architecture : x86_64
Size : 3.6 M
Source : python-pywt-1.3.0-3.fc38.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.