Integrate the Knorish API with the Python API

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

Popular Ways to Connect Knorish with Python#

Run Python Code with Python API on New Bundle Purchased from Knorish API

Knorish + Python

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Run Python Code with Python API on New Signup from Knorish API

Knorish + Python

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Popular Knorish and Python Triggers#

New Bundle Purchased from the Knorish API

Emit new event when a bundle is purchased by user. See the documentation

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New Signup from the Knorish API

Emit new event when a new signup or registration happens on your site. See the documentation

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Popular Knorish and Python Actions#

Add User In Course with the Knorish API

Add a specific user to a specific course on your Knorish site. See the documentation

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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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Create User with the Knorish API

Creates a new user on your Knorish site. See the documentation

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Overview of Knorish#

The Knorish API provides a gateway to manage and automate tasks for online course platforms. With it, you can streamline processes like user enrollment, course content management, and tracking learner progress. When leveraged through Pipedream, Knorish API enables the creation of custom, serverless workflows that can connect with other apps to enrich e-learning experiences, perform administrative tasks, or analyze educational activities.

Connect Knorish#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    knorish: {
      type: "app",
      app: "knorish",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.knorish.com/publisher/v1.0/user/GetUsers`,
      headers: {
        "x-appid": `${this.knorish.$auth.app_id}`,
        "x-appkey": `${this.knorish.$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#

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}}