Discover, Refine, Inspect, Present in Python, using EDA principles outlined by NIST/SEMATECH e-Handbook of Statistical Methods, (this link), to analyse data.
The project setup is documented in project_setup.md. Feel free to remove this document (and/or the link to this document) if you don't need it.
To install drippy from GitHub repository, do:
git clone git@github.com:Pjieter/drippy.git
cd drippy
poetry installThe documentation can be found here: https://drippy.readthedocs.io/en/latest/
If you want to contribute to the development of drippy, have a look at the contribution guidelines.
This package was created with Copier and the NLeSC/python-template.