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7todos

7todos is a task board platform that helps in tracking and managing multiple projects for indie makers, content creators, and freelancers.

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7todos

Python

Integrate the 7todos API with the Python API

Setup the 7todos API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 7todos and Python remarkably fast. Free for developers.

Popular 7todos and Python Actions#

Create a task with the 7todos API

Create a task. See the docs.

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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 7todos#

The 7todos API empowers you to streamline the task management process by allowing you to create, read, update, and delete todos within your 7todos lists. With Pipedream, you can leverage these capabilities to automate workflows, sync tasks across multiple platforms, set reminders, or even analyze task completion rates. By connecting 7todos to other apps, you can create a seamless ecosystem for personal productivity or team collaboration.

Connect 7todos#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    seventodos: {
      type: "app",
      app: "seventodos",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://7todos.com/api/v1/auth`,
      headers: {
        "key": `${this.seventodos.$auth.key}`,
        "workspaceId": `${this.seventodos.$auth.workspaceId}`,
      },
    })
  },
})

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}}