How to Install and Uninstall python3-datalad.noarch Package on Fedora 38

Last updated: February 28,2025

1. Install "python3-datalad.noarch" package

Please follow the instructions below to install python3-datalad.noarch on Fedora 38

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

2. Uninstall "python3-datalad.noarch" package

This guide let you learn how to uninstall python3-datalad.noarch on Fedora 38:

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

3. Information about the python3-datalad.noarch package on Fedora 38

Last metadata expiration check: 3:51:45 ago on Sat Mar 16 16:59:57 2024.
Available Packages
Name : python3-datalad
Version : 0.19.6
Release : 1.fc38
Architecture : noarch
Size : 2.6 M
Source : python-datalad-0.19.6-1.fc38.src.rpm
Repository : updates
Summary : Keep code, data, containers under control with git and git-annex
URL : https://github.com/datalad/datalad
License : MIT
Description : DataLad makes data management and data distribution more accessible. To do
: that, it stands on the shoulders of Git and Git-annex to deliver a
: decentralized system for data exchange. This includes automated ingestion of
: data from online portals and exposing it in readily usable form as Git(-annex)
: repositories, so-called datasets. The actual data storage and permission
: management, however, remains with the original data providers.
:
: The full documentation is available at https://docs.datalad.org and
: https://handbook.datalad.org provides a hands-on crash-course on DataLad
:
: Extensions:
:
: A number of extensions are available that provide additional functionality for
: DataLad. Extensions are separate packages that are to be installed in addition
: to DataLad. In order to install DataLad customized for a particular domain, one
: can simply install an extension directly, and DataLad itself will be
: automatically installed with it. An annotated list of extensions is available
: in the DataLad handbook.
:
: Support:
:
: The documentation for this project is found here: https://docs.datalad.org
:
: If you have a problem or would like to ask a question about how to use DataLad,
: please submit a question to NeuroStars.org with a datalad tag. NeuroStars.org
: is a platform similar to StackOverflow but dedicated to neuroinformatics.
:
: All previous DataLad questions are available here:
: https://neurostars.org/tags/datalad/