How to Install and Uninstall python3-pickleshare.noarch Package on Red Hat Enterprise Linux 9 (RHEL 9)
Last updated: November 27,2024
1. Install "python3-pickleshare.noarch" package
Please follow the instructions below to install python3-pickleshare.noarch on Red Hat Enterprise Linux 9 (RHEL 9)
$
sudo dnf update
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$
sudo dnf install
python3-pickleshare.noarch
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2. Uninstall "python3-pickleshare.noarch" package
This guide covers the steps necessary to uninstall python3-pickleshare.noarch on Red Hat Enterprise Linux 9 (RHEL 9):
$
sudo dnf remove
python3-pickleshare.noarch
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$
sudo dnf autoremove
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3. Information about the python3-pickleshare.noarch package on Red Hat Enterprise Linux 9 (RHEL 9)
Last metadata expiration check: 1:40:55 ago on Mon Feb 26 07:04:30 2024.
Available Packages
Name : python3-pickleshare
Version : 0.7.5
Release : 3.el9
Architecture : noarch
Size : 18 k
Source : python-pickleshare-0.7.5-3.el9.src.rpm
Repository : epel
Summary : Tiny 'shelve'-like database with concurrency support
URL : https://github.com/pickleshare/pickleshare
License : MIT
Description :
: PickleShare - a small ‘shelve’ like data store with concurrency support.
:
: Like shelve, a PickleShareDB object acts like a normal dictionary.
: Unlike shelve, many processes can access the database simultaneously.
: Changing a value in database is immediately visible to other processes
: accessing the same database.
:
: Concurrency is possible because the values are stored in separate files.
: Hence the “database” is a directory where all files are governed
: by PickleShare.
Available Packages
Name : python3-pickleshare
Version : 0.7.5
Release : 3.el9
Architecture : noarch
Size : 18 k
Source : python-pickleshare-0.7.5-3.el9.src.rpm
Repository : epel
Summary : Tiny 'shelve'-like database with concurrency support
URL : https://github.com/pickleshare/pickleshare
License : MIT
Description :
: PickleShare - a small ‘shelve’ like data store with concurrency support.
:
: Like shelve, a PickleShareDB object acts like a normal dictionary.
: Unlike shelve, many processes can access the database simultaneously.
: Changing a value in database is immediately visible to other processes
: accessing the same database.
:
: Concurrency is possible because the values are stored in separate files.
: Hence the “database” is a directory where all files are governed
: by PickleShare.