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with Arpoone and Python?
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Popular Arpoone 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.
Integrate the Arpoone API with the Python API
Setup the Arpoone API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Arpoone and Python remarkably fast. Free for developers.
Connect Arpoone#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
arpoone: {
type: "app",
app: "arpoone",
}
},
async run({steps, $}) {
const data = {
"OrganizationId": `${this.arpoone.$auth.organization_id}`,
"Messages": [{
"To": "test@pipekit.com",
"From": "test@memail.today",
"DisplayName": "Sender",
"Subject": "Subject",
"ExpirationDateTime": "2022-01-01 12:00:00",
"TextContent": "Content in simple text",
"HtmlContent": "Content in <strong>HTML</strong> text"
}]
}
return await axios($, {
method: "post",
url: `https://api.arpoone.com/v1.1/email/send`,
headers: {
Authorization: `Bearer ${this.arpoone.$auth.api_key}`,
"content-type": `application/json`,
},
data,
})
},
})
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}}Start for free — no credit card required
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