How to Install and Uninstall perl-Inline-Python.x86_64 Package on Fedora 34
Last updated: January 18,2025
1. Install "perl-Inline-Python.x86_64" package
This guide let you learn how to install perl-Inline-Python.x86_64 on Fedora 34
$
sudo dnf update
Copied
$
sudo dnf install
perl-Inline-Python.x86_64
Copied
2. Uninstall "perl-Inline-Python.x86_64" package
This guide let you learn how to uninstall perl-Inline-Python.x86_64 on Fedora 34:
$
sudo dnf remove
perl-Inline-Python.x86_64
Copied
$
sudo dnf autoremove
Copied
3. Information about the perl-Inline-Python.x86_64 package on Fedora 34
Last metadata expiration check: 5:47:11 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : perl-Inline-Python
Version : 0.56
Release : 15.fc34
Architecture : x86_64
Size : 59 k
Source : perl-Inline-Python-0.56-15.fc34.src.rpm
Repository : fedora
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 : 15.fc34
Architecture : x86_64
Size : 59 k
Source : perl-Inline-Python-0.56-15.fc34.src.rpm
Repository : fedora
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.