Data Science - Jupyter/Python

Use python in conjunction with Juptyer notebooks to acquire data from the Bulk Data API for analysis and model development.

The following example demonstrates access to data that is available in the ceriskscore table.

This example uses the pandas and sqlalchemy libraries.

At this point, data is housed in a pandas data frame and ready for transformation and analysis using the enormous collection of data science libraries available in Python.