What do you want to automate
with Degreed and Python?
Prompt, edit and deploy AI agents that connect to Degreed, Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Degreed and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Degreed#
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.
Connect Degreed#
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}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies