How to Install and Uninstall perl-Inline-Python.x86_64 Package on Oracle Linux 8
Last updated: November 27,2024
1. Install "perl-Inline-Python.x86_64" package
Here is a brief guide to show you how to install perl-Inline-Python.x86_64 on Oracle Linux 8
$
sudo dnf update
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$
sudo dnf install
perl-Inline-Python.x86_64
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2. Uninstall "perl-Inline-Python.x86_64" package
Please follow the instructions below to uninstall perl-Inline-Python.x86_64 on Oracle Linux 8:
$
sudo dnf remove
perl-Inline-Python.x86_64
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$
sudo dnf autoremove
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3. Information about the perl-Inline-Python.x86_64 package on Oracle Linux 8
Last metadata expiration check: 5:56:14 ago on Mon Sep 12 02:51:38 2022.
Available Packages
Name : perl-Inline-Python
Version : 0.56
Release : 19.el8
Architecture : x86_64
Size : 60 k
Source : perl-Inline-Python-0.56-19.el8.src.rpm
Repository : epel
Summary : Write Perl subs and classes in Python
URL : https://metacpan.org/release/Inline-Python
License : GPL+ or Artistic
Description : The Inline::Python module allows you to put Python source code directly
: "inline" in a Perl script or module. It sets up an in-process Python
: interpreter, runs your code, and then examines Python's symbol table for
: things to bind to Perl. The process of interrogating the Python interpreter
: for global variables only occurs the first time you run your Python code. The
: name-space is cached, and subsequent calls use the cached version.
Available Packages
Name : perl-Inline-Python
Version : 0.56
Release : 19.el8
Architecture : x86_64
Size : 60 k
Source : perl-Inline-Python-0.56-19.el8.src.rpm
Repository : epel
Summary : Write Perl subs and classes in Python
URL : https://metacpan.org/release/Inline-Python
License : GPL+ or Artistic
Description : The Inline::Python module allows you to put Python source code directly
: "inline" in a Perl script or module. It sets up an in-process Python
: interpreter, runs your code, and then examines Python's symbol table for
: things to bind to Perl. The process of interrogating the Python interpreter
: for global variables only occurs the first time you run your Python code. The
: name-space is cached, and subsequent calls use the cached version.