Linguapop

Linguapop gives you the ability to quickly send branded, CEFR-aligned language skill tests to your candidates anywhere, anytime.

Integrate the Linguapop API with the Python API

Setup the Linguapop API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Linguapop 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 Linguapop

The Linguapop API offers functionalities for language learning applications, focusing on vocabulary, grammar, and language exercises. Through integrating this API with Pipedream, you can automate language learning processes, personalize educational content delivery, and streamline language proficiency assessments. Pipedream’s ability to connect with numerous other APIs and services enables the development of customized, efficient workflows that enhance the learning experience.

Connect Linguapop

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    linguapop: {
      type: "app",
      app: "linguapop",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.linguapop.eu/api/actions/getLanguages`,
      params: {
        apiKey: `${this.linguapop.$auth.api_key}`,
      },
    })
  },
})

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}}