This repository hosts a Python package for use with the Dataverse Project API. The purpose of this code is to normalize common API requests for data curation since the Dataverse API has more than one API, which can be confusing to understand which API to use, and which endpoints have quirks under certain conditions. For example, the createDataset method allows you to use the same metadata as the updateDatasetMetadata method because it automatically wraps the metadata in a datasetVersion element (the create dataset API endpoint requires the metadata be wrapped in a datasetVersion element for some strange reason).
You can install this package via PIP, but is not hosted on the PIP package service (https://pypi.org/), so you will need to install using a Git command. You can experiment with using this package to build your own packages for a Jupyter notebook.
I use this package with a Jupyter notebook (see the v5.13/_installer_dataverseTest.py file in this repository for a working example of the install). The implementation can be found in the v5.13/_worker_dataverseTest.py file from https://github.com/kuhlaid/dv-api-test/.