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with DigitalOcean and Python?
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Popular DigitalOcean and Python Actions#
Overview of DigitalOcean#
The Digital Ocean API provides programmatic access to manage Digital Ocean resources such as Droplets, Spaces, and Databases. With Pipedream, you can harness this API to automate a variety of tasks, like spinning up new servers, scaling resources, or integrating cloud infrastructure management into your workflow. It's a powerful tool for DevOps automation, allowing for the dynamic management of infrastructure in response to events or schedules.
Connect DigitalOcean#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
digital_ocean: {
type: "app",
app: "digital_ocean",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.digitalocean.com/v2/account`,
headers: {
Authorization: `Bearer ${this.digital_ocean.$auth.oauth_access_token}`,
},
})
},
})
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