On June 26, Google announced a Python client library for the Data Commons platform, empowering developers to access and query a wide range of publicly available statistical data. This library facilitates interaction with over 200 datasets covering various domains like demographics, economy, and health. Key features include support for custom instances, robust API integrations, and data mapping capabilities, as well as built-in API key management. The library can be installed easily and is designed to work seamlessly with Pandas, improving usability and efficiency for statistical analysis and data handling.
Google's newly launched Python client library for Data Commons helps developers easily query and integrate statistical data from over 200 datasets, supporting custom instances.
The library enhances the usage of Data Commons' vast database with seamless integration of proprietary datasets and improved type safety and serialization via Pydantic.
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