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        "description": "# Data Commons Python Client API\n\nThis is a Python library for accessing data in the Data Commons knowledge graph.\nTo get started, install this package from pip.\n\n    pip install git+https://github.com/google/datacommons.git@stable-1.x\n\nOnce the package is installed, import `datacommons`.\n\n    import datacommons as dc\n\nYou will also need to provision an API key by enabling the Data Commons API on\nGCP. Once you have the API key, simply add the following line to your code.\n\n    dc.set_api_key('YOUR-API-KEY')\n\nFor more detail on getting started with the API, please visit\n[Getting Started](https://datacommons.readthedocs.io/en/latest/started.html).\n\nAfter you're ready to use the API, you can refer to `datacommons/examples` for\nexamples on how to use this package to perform various tasks. More tutorials and\ndocumentation can be found at our\n[readthedocs](https://datacommons.readthedocs.io/en/latest/)!\n\n## About Data Commons\n\n[Data Commons](https://datacommons.org/) is an Open Knowledge Graph that\nprovides a unified view across multiple public data sets and statistics. You can\nview what [datasets](https://datacommons.org/datasets) are currently ingested\nand browse the graph using our [browser](https://browser.datacommons.org/).\n\n## License\n\nApache 2.0\n\n## Development\n\nThe Python Client API currently supports `python>=3.6`. We use\n[bazel](https://bazel.build/) as our build system. To test, first install\nbazel then run the following:\n\n```\n$ bazel build //...\n$ bazel test //...\n```\n\n## Support\n\nFor general questions or issues about the API, please open an issue on our\n[issues](https://github.com/google/datacommons/issues) page. For all other\nquestions, please send an email to `support@datacommons.org`.\n\n**Note** - This is not an officially supported Google product.\n\n\n",
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