is it possible to use python to configure and run EL jobs on an airbyte instance?

Yes, it is possible to use Python to configure and run EL (Extract and Load) jobs on an Airbyte instance. There are a few different approaches you can take: 1. PyAirbyte: This is an official Python library for Airbyte that allows you to automate and monitor Airbyte Cloud sync jobs. You can use it to set up job executions, handle dependencies, and send real-time status updates. [Using PyAirbyte as a data orchestrator for hosted Airbyte connections](https://airbyte.com/tutorials/using-pyairbyte-as-a-data-orchestrator-for-hosted-airbyte-connections) provides a tutorial on how to use PyAirbyte. 2. Dagster Integration: Airbyte has an official integration with Dagster, a Python-based workflow orchestration tool. This integration allows you to trigger synchronization jobs in Airbyte using Python code. You can define Airbyte sources, destinations, and connections in Python, and then use Dagster to apply these configurations to your Airbyte instance. [Using the Dagster Integration](https://docs.airbyte.com/operator-guides/using-dagster-integration) provides more details on this approach. 3. Prefect: Another Python-based workflow tool that can be used to orchestrate Airbyte jobs. You can create a Prefect flow to trigger both Airbyte extract and load operations. [Airbyte, dbt and Prefect (PAD) Stack with BigQuery](https://airbyte.com/tutorials/airbyte-dbt-and-prefect-stack-with-bigquery) shows an example of how to set this up. 4. Airbyte API: You can also use Python to interact directly with the Airbyte API to configure and run jobs. This approach gives you the most flexibility but requires more code. [Configure Airbyte Connections with Python (Dagster)](https://airbyte.com/tutorials/configure-airbyte-with-python-dagster) provides some examples of how to interact with the Airbyte API using Python. It's important to note that while these methods allow you to use Python to configure and run Airbyte jobs, Airbyte itself still relies on Docker for running the actual connectors. The Python code is used for orchestration and configuration, not for replacing the core Airbyte infrastructure.