Python for Declarative Automation Bundles extends Declarative Automation Bundles so that you can:

• Define jobs and pipelines as Python code. These jobs can coexist with jobs defined in YAML.
• Dynamically create jobs and pipelines using metadata.
• Modify jobs and pipelines defined in YAML or Python during bundle deployment.

Documentation is available at https://docs.databricks.com/dev-tools/cli/databricks-cli.html.

Reference documentation is available at https://databricks.github.io/cli/python/

To use databricks-bundles, you must first:

1. Install the Databricks CLI, version 1.13.0 or above

2. Authenticate to your Databricks workspace if you have not done so already:

   databricks configure

3. To create a new project, initialize a bundle using the pydabs template:

databricks bundle init pydabs

Databricks CLI use is subject to the Databricks License and Databricks Privacy Notice, including any Usage Data provisions.