CoderPad

CoderPad is a technical interview platform for leading development teams. It enables a quick, accurate read on a candidate's skills through the hiring process

Integrate the CoderPad API with the Python API

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

The CoderPad API on Pipedream allows developers to streamline technical interviews and coding assessments by automating the creation, management, and evaluation of coding pads. By integrating CoderPad with Pipedream, you can set up custom workflows that respond to events in your hiring pipeline, synchronize interview data with HR systems, evaluate coding performance, and much more. This seamless automation can save time, reduce manual error, and enhance the overall efficiency of technical assessments.

Connect CoderPad

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    coderpad: {
      type: "app",
      app: "coderpad",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.coderpad.io/api/pads`,
      headers: {
        "Authorization": `Token token=${this.coderpad.$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

1
2
3
4
5
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}}