How to Install and Uninstall python3-Pympler.noarch Package on Fedora 38
Last updated: November 27,2024
1. Install "python3-Pympler.noarch" package
Learn how to install python3-Pympler.noarch on Fedora 38
$
sudo dnf update
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$
sudo dnf install
python3-Pympler.noarch
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2. Uninstall "python3-Pympler.noarch" package
Here is a brief guide to show you how to uninstall python3-Pympler.noarch on Fedora 38:
$
sudo dnf remove
python3-Pympler.noarch
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$
sudo dnf autoremove
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3. Information about the python3-Pympler.noarch package on Fedora 38
Last metadata expiration check: 3:08:18 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : python3-Pympler
Version : 1.0.1
Release : 6.fc38
Architecture : noarch
Size : 223 k
Source : python-Pympler-1.0.1-6.fc38.src.rpm
Repository : fedora
Summary : Measure, monitor and analyze the memory behavior of Python objects
URL : http://pythonhosted.org/Pympler/
License : ASL 2.0 and BSD and MIT
Description :
: Pympler is a development tool to measure, monitor and analyze the memory
: behavior of Python objects in a running Python application.
:
: By pympling a Python application, detailed insight in the size and the lifetime
: of Python objects can be obtained. Undesirable or unexpected runtime behavior
: like memory bloat and other “pymples” can easily be identified.
:
: Pympler integrates three previously separate modules into a single,
: comprehensive profiling tool. The asizeof module provides basic size information
: for one or several Python objects, module muppy is used for on-line monitoring
: of a Python application and module Class Tracker provides off-line analysis of
: the lifetime of selected Python objects.
Available Packages
Name : python3-Pympler
Version : 1.0.1
Release : 6.fc38
Architecture : noarch
Size : 223 k
Source : python-Pympler-1.0.1-6.fc38.src.rpm
Repository : fedora
Summary : Measure, monitor and analyze the memory behavior of Python objects
URL : http://pythonhosted.org/Pympler/
License : ASL 2.0 and BSD and MIT
Description :
: Pympler is a development tool to measure, monitor and analyze the memory
: behavior of Python objects in a running Python application.
:
: By pympling a Python application, detailed insight in the size and the lifetime
: of Python objects can be obtained. Undesirable or unexpected runtime behavior
: like memory bloat and other “pymples” can easily be identified.
:
: Pympler integrates three previously separate modules into a single,
: comprehensive profiling tool. The asizeof module provides basic size information
: for one or several Python objects, module muppy is used for on-line monitoring
: of a Python application and module Class Tracker provides off-line analysis of
: the lifetime of selected Python objects.