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        "author": "Google LLC",
        "author_email": "googleapis-packages@google.com",
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            "Development Status :: 3 - Alpha",
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            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
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            "Programming Language :: Python :: 3.6",
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        "description": "Python Client for BigQuery Data Transfer API\n============================================\n\n|alpha| |pypi| |versions| |compat_check_pypi| |compat_check_github|\n\nThe `BigQuery Data Transfer API`_ allows users to transfer data from partner\nSaaS applications to Google BigQuery on a scheduled, managed basis.\n\n- `Client Library Documentation`_\n- `Product Documentation`_\n\n.. |alpha| image:: https://img.shields.io/badge/support-alpha-orange.svg\n   :target: https://github.com/googleapis/google-cloud-python/blob/master/README.rst#alpha-support\n.. |pypi| image:: https://img.shields.io/pypi/v/google-cloud-bigquery-datatransfer.svg\n   :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/\n.. |versions| image:: https://img.shields.io/pypi/pyversions/google-cloud-bigquery-datatransfer.svg\n   :target: https://pypi.org/project/google-cloud-bigquery-datatransfer/\n.. |compat_check_pypi| image:: https://python-compatibility-tools.appspot.com/one_badge_image?package=google-cloud-bigquery-datatransfer\n   :target: https://python-compatibility-tools.appspot.com/one_badge_target?package=google-cloud-bigquery-datatransfer\n.. |compat_check_github| image:: https://python-compatibility-tools.appspot.com/one_badge_image?package=git%2Bgit%3A//github.com/googleapis/google-cloud-python.git%23subdirectory%3Dbigquery_datatransfer\n   :target: https://python-compatibility-tools.appspot.com/one_badge_target?package=git%2Bgit%3A//github.com/googleapis/google-cloud-python.git%23subdirectory%3Dbigquery_datatransfer\n.. _BigQuery Data Transfer API: https://cloud.google.com/bigquery/transfer\n.. _Client Library Documentation: https://googleapis.dev/python/bigquerydatatransfer/latest\n.. _Product Documentation:  https://cloud.google.com/bigquery/docs/transfer-service-overview\n\nQuick Start\n-----------\n\nIn order to use this library, you first need to go through the following steps:\n\n1. `Select or create a Cloud Platform project.`_\n2. `Enable the BigQuery Data Transfer API.`_\n3. `Setup Authentication.`_\n\n.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project\n.. _Enable the BigQuery Data Transfer API.:  https://cloud.google.com/bigquery/docs/transfer-service-overview\n.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html\n\nInstallation\n~~~~~~~~~~~~\n\nInstall this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to\ncreate isolated Python environments. The basic problem it addresses is one of\ndependencies and versions, and indirectly permissions.\n\nWith `virtualenv`_, it's possible to install this library without needing system\ninstall permissions, and without clashing with the installed system\ndependencies.\n\n.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/\n\n\nSupported Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^\nPython >= 3.5\n\nDeprecated Python Versions\n^^^^^^^^^^^^^^^^^^^^^^^^^^\nPython == 2.7. Python 2.7 support will be removed on January 1, 2020.\n\n\nMac/Linux\n^^^^^^^^^\n\n.. code-block:: console\n\n    pip install virtualenv\n    virtualenv <your-env>\n    source <your-env>/bin/activate\n    <your-env>/bin/pip install google-cloud-bigquery-datatransfer\n\n\nWindows\n^^^^^^^\n\n.. code-block:: console\n\n    pip install virtualenv\n    virtualenv <your-env>\n    <your-env>\\Scripts\\activate\n    <your-env>\\Scripts\\pip.exe install google-cloud-bigquery-datatransfer\n\nExample Usage\n~~~~~~~~~~~~~\n\nDataTransferServiceClient\n^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code:: py\n\n    from google.cloud.bigquery import datatransfer_v1\n\n    client = datatransfer_v1.DataTransferServiceClient()\n\n    parent = client.location_path('[PROJECT]', '[LOCATION]')\n\n\n    # Iterate over all results\n    for element in client.list_data_sources(parent):\n        # process element\n        pass\n\n    # Or iterate over results one page at a time\n    for page in client.list_data_sources(parent).pages:\n        for element in page:\n            # process element\n            pass\n\nNext Steps\n~~~~~~~~~~\n\n-  Read the `Client Library Documentation`_ for BigQuery Data Transfer API\n   API to see other available methods on the client.\n-  Read the `Product documentation`_ to learn\n   more about the product and see How-to Guides.\n\n\n",
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