1. Set up a Kubernetes cluster using the GCP Console or gcloud.
2. Create a Docker image of your Python application.
3. Push the image to Google Container Registry.
4. Deploy the image to your Kubernetes cluster.
5. Ensure proper scaling and load balancing configurations.

Deploying Python App as Cloud Functions

1. Write your Python function following the guidelines for Cloud Functions.
2. Deploy the function using the GCP Console or gcloud.
3. Test the function with sample data.

Managing Python Applications on GCP