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with Microsoft Dataverse and Python?
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Popular Microsoft Dataverse 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 Microsoft Dataverse API with the Python API
Setup the Microsoft Dataverse API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Microsoft Dataverse and Python remarkably fast. Free for developers.
Connect Microsoft Dataverse#
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import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_dataverse: {
type: "app",
app: "microsoft_dataverse",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.microsoft_dataverse.$auth.environment_url}/api/data/v9.2/WhoAmI`,
headers: {
Accept: `application/json`,
Authorization: `Bearer ${this.microsoft_dataverse.$auth.oauth_access_token}`,
"OData-MaxVersion": `4.0`,
"OData-Version": `4.0`,
"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#
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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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Trusted by 1,000,000+ developers from startups to Fortune 500 companies