What are the best practices for managing and deploying Python applications on Kubernetes?

For managing and deploying Python applications on Kubernetes, start by containerizing your application with Docker. Define your application and its dependencies using Kubernetes resources like Deployments, Services, and Pods. Also, make sure to use Helm charts for managing Kubernetes manifests, and ensure your application is stateless for easier scaling and resilience.

Of course, you should look to implement liveness and readiness probes for health checks. Consider using ConfigMaps and Secrets for configuration and sensitive data, and use continuous deployment tools like Jenkins or GitLab CI/CD for automated deployment. Last but not least, regularly update and patch your Kubernetes environment.