How to Install and Uninstall python39-ipython Package on openSuSE Tumbleweed

Last updated: May 19,2024

1. Install "python39-ipython" package

Please follow the guidance below to install python39-ipython on openSuSE Tumbleweed

$ sudo zypper refresh $ sudo zypper install python39-ipython

2. Uninstall "python39-ipython" package

This guide covers the steps necessary to uninstall python39-ipython on openSuSE Tumbleweed:

$ sudo zypper remove python39-ipython

3. Information about the python39-ipython package on openSuSE Tumbleweed

Information for package python39-ipython:
-----------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-ipython
Version : 8.18.0-1.4
Arch : noarch
Vendor : openSUSE
Installed Size : 5.4 MiB
Installed : No
Status : not installed
Source package : python-ipython-8.18.0-1.4.src
Upstream URL : https://github.com/ipython/ipython
Summary : Rich architecture for interactive computing with Python
Description :
IPython provides a rich toolkit to help you make the
most out of using Python interactively. Its main
components are:
* A powerful interactive Python shell
* A Jupyter kernel to work with Python code in
Jupyter notebooks and other interactive frontends.
The enhanced interactive Python shells have the
following main features:
* Comprehensive object introspection.
* Input history, persistent across sessions.
* Caching of output results during a session with automatically
generated references.
* Extensible tab completion, with support by default for completion
of python variables and keywords, filenames and function keywords.
* Extensible system of ‘magic’ commands for controlling the
environment and performing many tasks related either to IPython or
the operating system.
* A rich configuration system with easy switching between different
setups (simpler than changing $PYTHONSTARTUP environment variables
every time).
* Session logging and reloading.
* Extensible syntax processing for special purpose situations.
* Access to the system shell with user-extensible alias system.
* Easily embeddable in other Python programs and GUIs.
* Integrated access to the pdb debugger and the Python profiler.