What do you want to automate
with Dart and Python?
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Popular Dart and Python Actions#
Record a new doc that the user intends to write down. This will save the doc in Dart for later access, search, etc. By default the created doc will be in the Docs folder. More information can be included in the text. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Move an existing doc to the trash, where it can be recovered if needed. Nothing else about the doc will be changed. See the documentation
Checks for an existing task within a dartboard using the 'task-name'. If it doesn't exist, a new task is created. See the documentation
Connect Dart#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dart: {
type: "app",
app: "dart",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.itsdart.com/api/v0/users`,
headers: {
Authorization: `Bearer ${this.dart.$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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies