Computational intelligence engine - use this app to connect Wolfram Alpha APIs using `http://api.wolframalpha.com` base URL, such as Full Results and Short Answers APIs.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wolfram_alpha_api: {
type: "app",
app: "wolfram_alpha_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.wolframalpha.com/v2/query`,
params: {
input: `Calculate server capacity needed for 1M concurrent users with 99.99% uptime`,
format: `image,plaintext`,
output: `JSON`,
appid: `${this.wolfram_alpha_api.$auth.app_id}`,
},
})
},
})
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}}