How to Install and Uninstall libinline-python-perl Package on Ubuntu 21.10 (Impish Indri)

Last updated: November 25,2024

1. Install "libinline-python-perl" package

Learn how to install libinline-python-perl on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install libinline-python-perl

2. Uninstall "libinline-python-perl" package

This is a short guide on how to uninstall libinline-python-perl on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove libinline-python-perl $ sudo apt autoclean && sudo apt autoremove

3. Information about the libinline-python-perl package on Ubuntu 21.10 (Impish Indri)

Package: libinline-python-perl
Architecture: amd64
Version: 0.56-2build4
Priority: optional
Section: universe/perl
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Perl Group
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 128
Depends: perl (>= 5.32.0-5), perlapi-5.32.0, libc6 (>= 2.4), libpython3.9 (>= 3.9.0~b4), libinline-perl
Filename: pool/universe/libi/libinline-python-perl/libinline-python-perl_0.56-2build4_amd64.deb
Size: 44104
MD5sum: 295264a9cdc3d7db8a6a8cc1770a042d
SHA1: fce063f12e716a69c1d3b3c554399273c8d68e89
SHA256: 79c5d62dab04b64166b24c219e98def4287737452e1a0e817f2e32f1b44dbb9f
SHA512: 42539d71d210d3464ac09be17d203be35946945508bab90b1f89ff755c5030c20f2d2a51ddf56d1c70b6167e460f9b433ef1df626667d4dd1d78faaa81313661
Homepage: https://metacpan.org/release/Inline-Python
Description-en: module to write Perl subs and classes in Python
The Inline::Python module allows one to write Perl subroutines in Python. One
doesn't have to use any funky techniques for sharing most types of data
between the two languages, either. Inline::Python comes with its own data
translation service. It converts any Python structures it knows about into
Perl structures, and vice versa.
.
Inline::Python sets up an in-process Python interpreter, runs the code, and
then examines Python's symbol table for things to bind to Perl. The process
of interrogating the Python interpreter for globals only occurs the first
time the Python code is run. The namespace is cached, and subsequent calls
use the cached version.
Description-md5: 2d294bf79df2810b56ed9b25770756da