How to Install and Uninstall python3-cytoolz.x86_64 Package on Rocky Linux 9

Last updated: November 26,2024

1. Install "python3-cytoolz.x86_64" package

Please follow the steps below to install python3-cytoolz.x86_64 on Rocky Linux 9

$ sudo dnf update $ sudo dnf install python3-cytoolz.x86_64

2. Uninstall "python3-cytoolz.x86_64" package

Here is a brief guide to show you how to uninstall python3-cytoolz.x86_64 on Rocky Linux 9:

$ sudo dnf remove python3-cytoolz.x86_64 $ sudo dnf autoremove

3. Information about the python3-cytoolz.x86_64 package on Rocky Linux 9

Last metadata expiration check: 2:06:17 ago on Fri Feb 16 06:49:52 2024.
Available Packages
Name : python3-cytoolz
Version : 0.11.2
Release : 1.el9
Architecture : x86_64
Size : 280 k
Source : python-cytoolz-0.11.2-1.el9.src.rpm
Repository : epel
Summary : Cython implementation of the toolz package
URL : http://github.com/pytoolz/cytoolz/
License : BSD
Description : Cython implementation of the toolz package, which provides high performance
: utility functions for iterables, functions, and dictionaries.
:
: toolz is a pure Python package that borrows heavily from contemporary
: functional languanges. It is designed to interoperate seamlessly with other
: libraries including itertools, functools, and third party libraries. High
: performance functional data analysis is possible with builtin types like list
: and dict, and user-defined data structures; and low memory usage is achieved
: by using the iterator protocol and returning iterators whenever possible.
:
: cytoolz implements the same API as toolz. The main differences are that
: cytoolz is faster (typically 2-5x faster with a few spectacular exceptions)
: and cytoolz offers a C API that is accessible to other projects developed in
: Cython. Since toolz is able to process very large (potentially infinite) data
: sets, the performance increase gained by using cytoolz can be significant.
:
: See the PyToolz documentation at http://toolz.readthedocs.org.