# Use Python with Managed Service for Apache Flink
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**Note**  
If you are developing Python Flink application on a new Mac with Apple Silicon chip, you may encounter some [known issues](https://issues.apache.org/jira/browse/FLINK-26981) with Python dependencies of PyFlink 1.15. In this case we recommend running the Python interpreter in Docker. For step-by-step instructions, see [PyFlink 1.15 development on Apple Silicon Mac](https://github.com/aws-samples/amazon-managed-service-for-apache-flink-examples/tree/main/python/LocalDevelopmentOnAppleSilicon).

Apache Flink version 2.2 includes support for creating applications using Python version 3.12; support for Python version 3.8 is removed. For more information, see [Flink Python Docs](https://nightlies.apache.org/flink/flink-docs-release-2.2/api/python/). You create a Managed Service for Apache Flink application using Python by doing the following:
+ Create your Python application code as a text file with a `main` method.
+ Bundle your application code file and any Python or Java dependencies into a zip file, and upload it to an Amazon S3 bucket.
+ Create your Managed Service for Apache Flink application, specifying your Amazon S3 code location, application properties, and application settings.

At a high level, the Python Table API is a wrapper around the Java Table API. For information about the Python Table API, see the [ Table API Tutorial](https://nightlies.apache.org/flink/flink-docs-stable/docs/dev/python/table_api_tutorial/) in the Apache Flink Documentation.