Python
Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.
Integrate the Python API with the Delay API
Setup the Python API trigger to run a workflow which integrates with the Delay API. Pipedream's integration platform allows you to integrate Python and Delay remarkably fast. Free for developers.
Popular Python and Delay Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Delay the execution of your workflow for a specific amount of time (does not count against your compute time).
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}}Overview of Delay#
The Delay API in Pipedream is a built-in function that allows you to pause a workflow for a specified amount of time. This can be incredibly useful when you need to stagger API calls to avoid rate limits, wait for an external process to complete, or simply introduce a delay between actions in a sequence. With precision up to milliseconds, the Delay API provides a simple yet powerful tool for managing timing in automation workflows.
Connect Delay#
export default defineComponent({
async run({steps, $}) {
// Specify the amount of time to delay your workflow in milliseconds
return $.flow.delay(5000)
},
})