TalentLMS

TalentLMS is the LMS built for training success making it easy to provide the right training for any team and every use, while giving expert guidance and support every step of the way.

Integrate the TalentLMS API with the Python API

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

 
Try it

Overview of TalentLMS

TalentLMS's API enables you to automate and integrate your learning management tasks with ease. From syncing user data to generating detailed reports, the API opens up a world of possibilities for e-learning automation. With Pipedream, you can connect TalentLMS to a plethora of other apps, crafting personalized, intelligent workflows that operate seamlessly in the background, thus enhancing the learning experience for both instructors and trainees without manual intervention.

Connect TalentLMS

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    talentlms: {
      type: "app",
      app: "talentlms",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.talentlms.$auth.domain}.talentlms.com/api/v1/users`,
      auth: {
        username: `${this.talentlms.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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}}