Integrate the Pennylane API with the Python API

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

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Popular Ways to Connect Pennylane with Python#

Run Python Code with Python API on New Billing Subscription Created from Pennylane API

Pennylane + Python

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Run Python Code with Python API on New Customer Created from Pennylane API

Pennylane + Python

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Run Python Code with Python API on New Customer Invoice Created or Imported from Pennylane API

Pennylane + Python

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Popular Pennylane and Python Triggers#

New Billing Subscription Created from the Pennylane API

Emit new event when a billing subscription is created.

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New Customer Created from the Pennylane API

Emit new event when a customer is created.

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New Customer Invoice Created or Imported from the Pennylane API

Emit new event when a new invoice is created or imported.

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Popular Pennylane and Python Actions#

Create Billing Subscription with the Pennylane API

Creates a billing subscription for a customer. 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 Customer with the Pennylane API

Creates a new customer in Pennylane. See the documentation

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Create Customer Invoice with the Pennylane API

Generates a new invoice for a customer using Pennylane. See the documentation

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Connect Pennylane#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pennylane: {
      type: "app",
      app: "pennylane",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.pennylane.com/api/external/v1/me`,
      headers: {
        Authorization: `Bearer ${this.pennylane.$auth.oauth_access_token}`,
        "Accept": `application/json`
      },
    })
  },
})

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}}

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