Integrate the Push by Techulus API with the Python API

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

Popular Push by Techulus and Python Actions#

Send Push Notification with the Push by Techulus API

Sends a new Push notification to the user. 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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Overview of Push by Techulus#

The Push by Techulus API offers a straightforward way to send notifications directly to your devices. With this functionality within Pipedream, you can craft workflows that alert you or someone else when certain events happen in your apps or in your code. Think of it as wiring a custom doorbell for the digital events that matter to you. Whether you're tracking sales on your e-commerce platform, monitoring website uptime, or just want to get pinged when your long-running script finishes, Push by Techulus nudges you in real time.

Connect Push by Techulus#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    push_by_techulus: {
      type: "app",
      app: "push_by_techulus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://push.techulus.com/api/v1/notify/${this.push_by_techulus.$auth.api_key}`,
      headers: {
        "x-api-key": `${this.push_by_techulus.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      params: {
        title: `Welcome to Push by Techulus`,
        body: `This is your first notification`,
      },
    })
  },
})

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}}