Python Based Data Science with Google Cloud Platform

A collection of methods to simplify and speed up common analytical work on GCP with an emphasis on integration with Pandas workflows.

For complete Google product API support use the official packages:
https://github.com/googleapis/google-cloud-python

Getting Started

1. Refer to the examples directory and method docstrings for usage.
2. Add service account, project ID and API key information to config.ipynb to create shared Jupyter variables.
3. Run specific service example notebooks.

Status

In development, please submit issues or pull requests!