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+# databricks-bundles
+
+Python for Databricks Asset Bundles extends [Databricks Asset Bundles](https://docs.databricks.com/aws/en/dev-tools/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/experimental/python/
+
+## Getting started
+
+To use `databricks-bundles`, you must first:
+
+1. Install the [Databricks CLI](https://github.com/databricks/cli), version 0.247.1 or above
+2. Authenticate to your Databricks workspace if you have not done so already:
+
+   ```bash
+   databricks configure
+   ```
+3. To create a new project, initialize a bundle using the `experimental-jobs-as-code` template:
+
+  ```bash
+  databricks bundle init experimental-jobs-as-code
+  ```
+
+## Privacy Notice
+Databricks CLI use is subject to the [Databricks License](https://github.com/databricks/cli/blob/main/LICENSE) and [Databricks Privacy Notice](https://www.databricks.com/legal/privacynotice), including any Usage Data provisions.