EdApp

The free all-in-one training tool built for mobile that your teams love.

Integrate the EdApp API with the Python API

Setup the EdApp API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate EdApp and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Overview of EdApp

EdApp is a mobile-first microlearning platform with an API that enables programmatic interactions with its learning management system. With the EdApp API, you can automate course assignments, track learning progress, manage users, and pull detailed reports. This can significantly enhance learning experiences and administrative efficiency, particularly when integrated with Pipedream's serverless platform. Pipedream allows for the creation of custom workflows that leverage the EdApp API to interact with other services, inducing data-driven actions without manual intervention.

Connect EdApp

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    edapp: {
      type: "app",
      app: "edapp",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.edapp.com/v2/users`,
      headers: {
        Authorization: `Bearer ${this.edapp.$auth.api_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

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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}}