Metadata-Version: 2.4
Name: fairdatanow
Version: 0.2.15
Summary: Experimental Python package to support working with data from (y)our Nextcloud server
Home-page: https://github.com/fligt/fairdatanow
Author: Frank Ligterink
Author-email: frank.ligterink@gmail.com
License: MIT License
Keywords: nbdev jupyter notebook python
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: nc-py-api
Requires-Dist: humanize
Requires-Dist: panel
Requires-Dist: param
Requires-Dist: pandas
Requires-Dist: IPython
Requires-Dist: ipynb-path
Requires-Dist: matplotlib
Requires-Dist: keyring
Provides-Extra: dev
Dynamic: author
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Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: keywords
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# Welcome to fairdatanow


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Effective interdisciplinary cooperation in data science projects
requires smooth access to both data and code. And with the recent
development of two amazing open source frameworks (self hosted Nextcloud
for data storage and Jupyter notebooks for computing), we are now in a
position to actually make this happen. Recently our lab (the
Rijkserfgoedlaboratorium in Amsterdam) has installed a Nextcloud server
that gives our lab the possibility to share data files organized in
project folders with research partners. These can be accessed manually
via a web interface, but also programmatically with the webdav protocol!
With `fairdatanow` we want to learn how to easily find en download data
files from a Nextcloud storage directly in Jupyter notebooks in order to
explore them and create visualizations.

Under the hood the `fairdatanow` makes use of the Nextcloud Python
Framework [nc-py-api](https://pypi.org/project/nc-py-api) for
communication with the cloud server, and the powerful
[holoviz](https://holoviz.org) Python packages and for creating
interactive tables.

Although the package is still **under construction** it is already
available for installation from the python package index.
