How to Install and Uninstall python3-django-debug-toolbar.noarch Package on Oracle Linux 8

Last updated: July 08,2024

1. Install "python3-django-debug-toolbar.noarch" package

Here is a brief guide to show you how to install python3-django-debug-toolbar.noarch on Oracle Linux 8


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                python3-django-debug-toolbar.noarch
            
                    
    
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2. Uninstall "python3-django-debug-toolbar.noarch" package

This is a short guide on how to uninstall python3-django-debug-toolbar.noarch on Oracle Linux 8:


    
        
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                sudo dnf remove
            
                        
                python3-django-debug-toolbar.noarch
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the python3-django-debug-toolbar.noarch package on Oracle Linux 8

Last metadata expiration check: 6:49:10 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : python3-django-debug-toolbar
Version : 2.2
Release : 1.el8
Architecture : noarch
Size : 163 k
Source : python-django-debug-toolbar-2.2-1.el8.src.rpm
Repository : epel
Summary : Configurable set of panels that display various debug information
URL : https://github.com/jazzband/django-debug-toolbar
License : BSD
Description : The Django Debug Toolbar is a configurable set of panels that display various
: debug information about the current request/response and when clicked, display
: more details about the panel's content.
:
: Currently, the following panels have been written and are working:
:
: - Django version
: - Request timer
: - A list of settings in settings.py
: - Common HTTP headers
: - GET/POST/cookie/session variable display
: - Templates and context used, and their template paths
: - SQL queries including time to execute and links to EXPLAIN each query
: - List of signals, their args and receivers
: - Logging output via Python's built-in logging, or via the logbook module