Teamdeck

Teamdeck is an employee-focused complete resource management solution for agencies and software houses. Schedule your teams, track their time and vacations in one tool

Integrate the Teamdeck API with the Python API

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

 
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Overview of Teamdeck

Teamdeck offers a versatile API that allows you to manage and automate aspects of resource management, like booking, time tracking, and reporting. With the Teamdeck API on Pipedream, you can create custom workflows to connect Teamdeck’s resource scheduling capabilities with other apps to streamline project management, automate timesheet collection, monitor team availability, and generate analytics. It's perfect for managers who want to optimize their team's productivity and for teams who aim to improve their operational workflows.

Connect Teamdeck

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teamdeck: {
      type: "app",
      app: "teamdeck",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.teamdeck.io/v1/bookings`,
      headers: {
        "X-Api-Key": `${this.teamdeck.$auth.api_key}`,
        "Content-Type": `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

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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}}