Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Retrieve information about an assignment. See the docs here
Retrieve a list of assignments for a course. See the documentation
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}
The Google Classroom API lets you tap into the educational space by managing courses, assignments, and student interactions programmatically. With this API, you can automate course creation, roster management, and content distribution, effectively bridging the gap between various educational tools and platforms. Leveraging Pipedream's serverless execution environment, you can build powerful workflows that respond to events in Classroom, sync data across platforms, and streamline the educational process for teachers and students alike.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_classroom: {
type: "app",
app: "google_classroom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_classroom.$auth.oauth_access_token}`,
},
})
},
})