To remediate the misconfiguration of using the latest Kubernetes version on GCP using GCP CLI, follow these steps:

1. First, check the current version of Kubernetes running on your GCP cluster by running the following command:

   gcloud container clusters describe [CLUSTER_NAME] --zone [ZONE]
   

2. Check the latest version of Kubernetes available on GCP by running the following command:

   gcloud container get-server-config --zone [ZONE]
   

3. Compare the current version with the latest version available and ensure that the latest version is compatible with your applications.

4. If the latest version is compatible, upgrade your GCP cluster to the latest version by running the following command:

   gcloud container clusters upgrade [CLUSTER_NAME] --zone [ZONE] --master --cluster-version [LATEST_VERSION]
   

   Replace [CLUSTER_NAME] with the name of your GCP cluster, [ZONE] with the zone in which your cluster is located, and [LATEST_VERSION] with the latest version of Kubernetes available on GCP.

5. After the upgrade is complete, verify that the cluster is running the latest version of Kubernetes by running the following command:

   gcloud container clusters describe [CLUSTER_NAME] --zone [ZONE]
   

   This command should show the new Kubernetes version that you just upgraded to.

6. Finally, test your applications to ensure that they are working properly with the new version of Kubernetes.

To remediate the misconfiguration of using the latest Kubernetes version in GCP using Python, follow these steps:

1. Install the Python client library for GCP by running the following command in your terminal:

pip install google-cloud-container

2. Authenticate with GCP by setting up a service account and downloading the JSON key file. Then, set the environment variable GOOGLE_APPLICATION_CREDENTIALS to the path of the key file.

export GOOGLE_APPLICATION_CREDENTIALS=/path/to/keyfile.json

3. Use the Python client library to update the Kubernetes version of the cluster. First, import the necessary libraries and set the project and zone where the cluster is located:

from google.cloud import container_v1
client = container_v1.ClusterManagerClient()
project_id = 'my-project'
zone = 'us-central1-a'
cluster_id = 'my-cluster'

4. Get the current cluster version:

cluster = client.get_cluster(project_id, zone, cluster_id)
current_version = cluster.current_master_version

5. Get the latest available Kubernetes version:

versions = client.get_server_config(project_id, zone).valid_master_versions
latest_version = versions[-1]

6. If the current version is not the latest version, update the cluster:

if current_version != latest_version:
    cluster.master_version = latest_version
    operation = client.update_cluster(project_id, zone, cluster)
    operation.result()
    print('Cluster updated to latest version:', latest_version)
else:
    print('Cluster is already on latest version:', latest_version)

This code will check if the current Kubernetes version of the cluster is the latest version available in the specified GCP project and zone. If it is not, it will update the cluster to the latest version. If it is already on the latest version, it will print a message indicating that no action was taken.