Algorand Developer Portal

All the tools you need to build, test, and deploy on Algorand (the high performance Layer-1 blockchain), now available in a single, simple portal.

Integrate the Algorand Developer Portal API with the Python API

Setup the Algorand Developer Portal API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Algorand Developer Portal and Python remarkably fast. Free for developers.

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.

 
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Overview of Algorand Developer Portal

The Algorand Developer Portal API allows you to interact with the Algorand blockchain, performing operations like checking account balances, creating transactions, and reading the current state of the blockchain. When used within Pipedream, you can automate workflows that respond to real-time events on the blockchain, integrate with other APIs for cross-platform actions, or analyze blockchain data to inform business decisions.

Connect Algorand Developer Portal

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    algorand_developer_portal: {
      type: "app",
      app: "algorand_developer_portal",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.algorand_developer_portal.$auth.url}/genesis`,
    })
  },
})

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}}