Integrate the Float API with the Python API

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

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Popular Float and Python Actions#

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 Float#

The Float API allows you to interact with Float's resource scheduling platform programmatically. With it, you can manage projects, tasks, people, and time off, as well as retrieve reports on workload and capacity. On Pipedream, the API can be leveraged to create automated workflows that link Float's scheduling capabilities with other apps, streamlining project management processes, syncing with calendars, and dynamically updating team schedules.

Connect Float#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    float: {
      type: "app",
      app: "float",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.float.com/v3/accounts`,
      headers: {
        Authorization: `Bearer ${this.float.$auth.api_key}`,
        "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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