How to Install and Uninstall python-leather-doc.noarch Package on Fedora 34
Last updated: November 26,2024
1. Install "python-leather-doc.noarch" package
Here is a brief guide to show you how to install python-leather-doc.noarch on Fedora 34
$
sudo dnf update
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$
sudo dnf install
python-leather-doc.noarch
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2. Uninstall "python-leather-doc.noarch" package
This tutorial shows how to uninstall python-leather-doc.noarch on Fedora 34:
$
sudo dnf remove
python-leather-doc.noarch
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$
sudo dnf autoremove
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3. Information about the python-leather-doc.noarch package on Fedora 34
Last metadata expiration check: 4:32:44 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : python-leather-doc
Version : 0.3.3
Release : 18.gite85dd30.fc34
Architecture : noarch
Size : 201 k
Source : python-leather-0.3.3-18.gite85dd30.fc34.src.rpm
Repository : fedora
Summary : Python charting for 80% of humans
URL : https://pypi.python.org/pypi/leather
License : MIT
Description : Leather is the Python charting library for those who need charts now and don’t
: care if they’re perfect.
:
: - A readable and user-friendly API.
: - Optimized for exploratory charting.
: - Produces scale-independent SVG charts.
: - Completely type-agnostic. Chart your data, whatever it is.
: - Designed with iPython, Jupyter and atom/hydrogen in mind.
: - Pure Python. No C dependencies to compile.
:
: Documentation package.
Available Packages
Name : python-leather-doc
Version : 0.3.3
Release : 18.gite85dd30.fc34
Architecture : noarch
Size : 201 k
Source : python-leather-0.3.3-18.gite85dd30.fc34.src.rpm
Repository : fedora
Summary : Python charting for 80% of humans
URL : https://pypi.python.org/pypi/leather
License : MIT
Description : Leather is the Python charting library for those who need charts now and don’t
: care if they’re perfect.
:
: - A readable and user-friendly API.
: - Optimized for exploratory charting.
: - Produces scale-independent SVG charts.
: - Completely type-agnostic. Chart your data, whatever it is.
: - Designed with iPython, Jupyter and atom/hydrogen in mind.
: - Pure Python. No C dependencies to compile.
:
: Documentation package.