How do I enable table access control for SQL and Python in Beta version of Databricks?
To enable table access control for SQL and Python in the Beta version of Databricks, you can follow these steps:

1. Navigate to the Databricks workspace and select the cluster you want to enable table access control for.
2. Click on the "Clusters" tab in the left-hand menu, then select the cluster you want to modify.
3. Click on the "Edit" button to modify the cluster settings.
4. Scroll down to the "Advanced Options" section and click on the "Spark" tab.
5. In the "Spark Config" section, add the following configuration key and value:
```python
spark.databricks.acl.enabled true
```
6. Click on the "Confirm" button to save the changes and restart the cluster.

Once table access control is enabled, you can manage permissions for tables and views using SQL commands or the Databricks Utilities (DBUtils) API library. For more information, you can refer to the Databricks documentation on table access control.

Note that table access control for SQL and Python is currently in Beta, so it may not be available in all Databricks environments or may have limited functionality. Additionally, enabling table access control may have implications for data access and security, so it is recommended to review the documentation and consult with your Databricks administrator before making any changes.