How to Install and Uninstall python3-contourpy.x86_64 Package on Fedora 36
Last updated: January 16,2025
1. Install "python3-contourpy.x86_64" package
Please follow the guidelines below to install python3-contourpy.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
python3-contourpy.x86_64
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2. Uninstall "python3-contourpy.x86_64" package
Here is a brief guide to show you how to uninstall python3-contourpy.x86_64 on Fedora 36:
$
sudo dnf remove
python3-contourpy.x86_64
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$
sudo dnf autoremove
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3. Information about the python3-contourpy.x86_64 package on Fedora 36
Last metadata expiration check: 0:06:15 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : python3-contourpy
Version : 1.0.4
Release : 2.fc36
Architecture : x86_64
Size : 207 k
Source : python-contourpy-1.0.4-2.fc36.src.rpm
Repository : updates
Summary : Python library for calculating contours in 2D quadrilateral grids
URL : https://contourpy.readthedocs.io/
License : BSD
Description : ContourPy is a Python library for calculating contours of 2D quadrilateral
: grids. It is written in C++11 and wrapped using pybind11.
:
: It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer
: algorithm that includes more features and is available in both serial and
: multithreaded versions. It provides an easy way for Python libraries to use
: contouring algorithms without having to include Matplotlib as a dependency.
Available Packages
Name : python3-contourpy
Version : 1.0.4
Release : 2.fc36
Architecture : x86_64
Size : 207 k
Source : python-contourpy-1.0.4-2.fc36.src.rpm
Repository : updates
Summary : Python library for calculating contours in 2D quadrilateral grids
URL : https://contourpy.readthedocs.io/
License : BSD
Description : ContourPy is a Python library for calculating contours of 2D quadrilateral
: grids. It is written in C++11 and wrapped using pybind11.
:
: It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer
: algorithm that includes more features and is available in both serial and
: multithreaded versions. It provides an easy way for Python libraries to use
: contouring algorithms without having to include Matplotlib as a dependency.