BART (Bay Area Rapid Transit) provides train service throughout the San Francisco Bay Area.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The BART API provides real-time data about the Bay Area Rapid Transit system, including schedules, advisories, and station information. Using Pipedream, developers can craft serverless workflows that react to BART data and integrate with countless apps to automate transit-related tasks, enrich apps with transit data, and enhance user experiences with up-to-the-minute BART information.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bart: {
type: "app",
app: "bart",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.bart.gov/api/version.aspx?key=${this.bart.$auth.api_key}&json=y`,
})
},
})
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:
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}}