These samples demonstrate usage of the google-cloud-compute library to interact with the Google Compute Engine API.
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If you haven't already, set up a Python Development Environment by following the python setup guide and create a project.
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Create a service account with the 'Editor' permissions by following these instructions.
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Download a JSON key to use to authenticate your script.
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Configure your local environment to use the acquired key.
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service/account/key.json
Create a new virtual environment and install the required libraries.
virtualenv --python python3 name-of-your-virtualenv
source name-of-your-virtualenv/bin/activate
pip install -r requirements.txt
Run the quickstart script, providing it with your project name, a GCP zone and a name for the instance that will be created and destroyed:
# For example, to create machine "test-instance" in europe-central2-a in project "my-test-project":
python quickstart.py my-test-project europe-central2-a test-instance