# Cloud Workflows Quickstart – Python This sample shows how to execute a Cloud Workflow and wait for the workflow execution results using the Python client libraries. ## Setup 1. Deploy the workflow, `myFirstWorkflow`: 1. Copy the YAML from this file: https://github.com/GoogleCloudPlatform/workflows-samples/blob/main/src/myFirstWorkflow.workflows.yaml 1. Paste the YAML into a file called `myFirstWorkflow.workflows.yaml`. 1. Run the command: `gcloud workflows deploy myFirstWorkflow --source myFirstWorkflow.workflows.yaml` ## Run the Quickstart Install [`pip`][pip] and [`virtualenv`][virtualenv] if you do not already have them. You may want to refer to the [`Python Development Environment Setup Guide`][setup] for Google Cloud Platform for instructions. 1. Create a virtualenv. Samples are compatible with Python 2.7 and 3.4+. ```sh virtualenv env source env/bin/activate ``` 1. Install the dependencies needed to run the samples. ```sh pip install -r requirements.txt ``` 1. Start the application, setting your project name in an environment variable, `GOOGLE_CLOUD_PROJECT`: ```sh export GOOGLE_CLOUD_PROJECT=your-project-id python main.py ``` 1. Observe the results: In stdout, you should see a JSON response from your workflow like the following: ```json ["Wednesday","Wednesday Night Wars","Wednesday 13","Wednesday Addams","Wednesday Campanella","Wednesdayite","Wednesday Martin","Wednesday Campanella discography","Wednesday Night Hockey (American TV program)","Wednesday Morning, 3 A.M."] ``` [prereq]: ../README.md#prerequisites [setup]: https://cloud.google.com/python/setup [pip]: https://pip.pypa.io/ [virtualenv]: https://virtualenv.pypa.io/