CDC - National Environmental Public Health Tracking
The National Environmental Public Health Tracking Network (Tracking Network) brings together health data and environmental data from national, state, and city sources and provides supporting information to make the data easier to understand.
Integrate the CDC - National Environmental Public Health Tracking API with the Python API
Setup the CDC - National Environmental Public Health Tracking API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate CDC - National Environmental Public Health Tracking and Python remarkably fast. Free for developers.
Popular CDC - National Environmental Public Health Tracking and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of CDC - National Environmental Public Health Tracking#
The CDC - National Environmental Public Health Tracking API provides access to a treasure trove of environmental and public health data. Harness this API to monitor trends, perform analyses, and spark proactive interventions. It's a goldmine for public health officials, researchers, and policy makers, offering data on air quality, water contaminants, climate change, and disease statistics. Leverage Pipedream's platform to automate data retrieval, gain insights, and connect with other services for a seamless data-driven decision-making process.
Connect CDC - National Environmental Public Health Tracking#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cdc_national_environmental_public_health_tracking: {
type: "app",
app: "cdc_national_environmental_public_health_tracking",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://ephtracking.cdc.gov/apigateway/api/v1/contentareas/json`,
params: {
apiToken: `${this.cdc_national_environmental_public_health_tracking.$auth.api_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}}