How to Install and Uninstall python3-toolz.noarch Package on Rocky Linux 8

Last updated: November 14,2024

1. Install "python3-toolz.noarch" package

Here is a brief guide to show you how to install python3-toolz.noarch on Rocky Linux 8

$ sudo dnf update $ sudo dnf install python3-toolz.noarch

2. Uninstall "python3-toolz.noarch" package

This guide covers the steps necessary to uninstall python3-toolz.noarch on Rocky Linux 8:

$ sudo dnf remove python3-toolz.noarch $ sudo dnf autoremove

3. Information about the python3-toolz.noarch package on Rocky Linux 8

Last metadata expiration check: 1:46:08 ago on Mon Sep 12 10:27:18 2022.
Available Packages
Name : python3-toolz
Version : 0.10.0
Release : 3.el8
Architecture : noarch
Size : 124 k
Source : python-toolz-0.10.0-3.el8.src.rpm
Repository : epel
Summary : A functional standard library for Python 3.6
URL : http://github.com/pytoolz/toolz/
License : BSD
Description : Toolz provides a set of utility functions for iterators, functions, and
: dictionaries. These functions interoperate well and form the building blocks
: of common data analytic operations. They extend the standard libraries
: itertools and functools and borrow heavily from the standard libraries of
: contemporary functional languages.
:
: Toolz provides a suite of functions which have the following functional
: virtues:
:
: Composable: They interoperate due to their use of core data structures.
: Pure: They don’t change their inputs or rely on external state.
: Lazy: They don’t run until absolutely necessary, allowing them to support
: large streaming data sets.
:
: Toolz functions are pragmatic. They understand that most programmers have
: deadlines.
:
: Low Tech: They’re just functions, no syntax or magic tricks to learn
: Tuned: They’re profiled and optimized
: Serializable: They support common solutions for parallel computing
:
: This gives developers the power to write powerful programs to solve complex
: problems with relatively simple code. This code can be easy to understand
: without sacrificing performance. Toolz enables this approach, commonly
: associated with functional programming, within a natural Pythonic style
: suitable for most developers.