This folder contains examples (Jupyter notebooks) of how to interface with the Python Citrination Client. You should make sure that you have Python 3 and all packages listed in requirements.txt
installed properly.
-
clients_sequence has a separate Python notebook for each sub-client of the PyCC:
DataClient
,DataViewsClient
,ModelsClient
, andSearchClient
. There is also a notebook that wraps many of the endpoints together to demonstrate sequential learning. -
tutorial_sequence has six notebooks organized as a sequence demonstrating the import and usage of DFT data. They discuss how to work with PIFs (including the
pypif
package), how to build search queries, and how to perform ML on Citrination. -
The other notebooks demonstrate other important aspects of the Citrination API.
- Screenshot tutorials of our web UI can be found in a separate folder.