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        "description": "# Azure Databricks API Wrapper\nA Python, object-oriented wrapper for the [Azure Databricks REST API 2.0](https://docs.azuredatabricks.net/api/latest/index.html)\n\n### Installation\nThis package is pip installable.\n```bash\npip install azure-databricks-api\n```\n\n### Implemented APIs\nAs of September 19th, 2018 there are 9 different services available in the Azure Databricks API. Currently, the following \nservices are supported by the Azure Databricks API Wrapper.\n* [x] Clusters\n* [x] Groups\n* [x] Token\n* [x] Workspace\n* [x] DBFS\n* [ ] Jobs\n* [X] Libraries\n* [ ] Secrets\n* [ ] SCIM _(Preview)_\n\n\n### Client Instantiation\nTo create the client object, you pass the Azure region your workspace is located in and the [generated Personal Access Token](https://docs.databricks.com/api/latest/authentication.html#generate-a-token)\n```python\nfrom azure_databricks_api import AzureDatabricksRESTClient\n\nazure_region = 'centralus'\ntoken = '[INSERT YOUR PERSONAL ACCESS TOKEN]' \n\nclient = AzureDatabricksRESTClient(region=azure_region, token=token)\n```\n\n### Clusters Client Usage\nThe services above are implements as children objects of the client. For example, to pin a cluster, you can either pass the cluster_name or cluster_id:\n```python\nclient.clusters.pin('test_cluster_name')\n```\n\nThe other services are implemented similarly. (e.g. `client.tokens` or `client.groups`)\n\n\n\n",
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