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Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Degreed API enables automated interactions with the Degreed platform, a hub for professional growth and learning. Through this API, you can programmatically access user data, learning content, pathways, and more. By leveraging Pipedream, users can design custom workflows that integrate Degreed's learning management capabilities with other services to streamline processes, report on progress, sync data across platforms, and even curate learning content based on specific triggers or criteria.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
degreed: {
type: "app",
app: "degreed",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.${this.degreed.$auth.base_url}/api/v2/users/me`,
headers: {
Authorization: `Bearer ${this.degreed.$auth.oauth_access_token}`,
},
})
},
})
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}}