Run a Python data-processing snippet

Created by

ParseBird

Actor

AI Code Runner Sandbox

Runs a Python 3 snippet in an isolated sandbox: it loads a JSON object from standard input and returns the total, max, min and average of a `numbers` array as JSON. The output is parsed into the `result` field. Replace `code` and `stdin` with your own logic; the run is capped at a short timeout.

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AI Code Runner Sandboxparsebird/code-runner-sandbox

Status

Language

Exit code

Signal

+6 fields

Input

Language:python

Code(required):import sys, json d = json.load(sys.stdin) n = d["numbers"] print(json.dumps({"total": sum(n), "max": max(n), "min": min(n), "avg": sum(n)/len(n)}))

Standard input:{"numbers": [10, 20, 30, 40, 55]}

Timeout (seconds):5

Output fields

Status

Language

Exit code

Signal

Duration (ms)

Timed out

Output truncated

Termination reason

Result parse error

Executed at

How it works

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Start the "Run a Python data-processing snippet" task

The AI Code Runner Sandbox Actor will start running based on the input automatically. You can also change all the input fields, like language, code, and more, to match your specific use case.

Receive the "Run a Python data-processing snippet" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, language, exit code, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Run a Python data-processing snippet" task via API.